From 8afd8a82210b34b58ab817d341c7814f0cb4051d Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Thu, 12 Mar 2026 20:12:49 +0100 Subject: [PATCH] Checkpoint: d49917ff4b10 Entire-Session: 3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/7f069f1-e3b0c4 --- d4/9917ff4b10/1/content_hash.txt | 1 + d4/9917ff4b10/1/full.jsonl | 180 +++++++++++++++++++++++++++++++ d4/9917ff4b10/1/metadata.json | 35 ++++++ d4/9917ff4b10/1/prompt.txt | 1 + d4/9917ff4b10/metadata.json | 18 ++-- 5 files changed, 229 insertions(+), 6 deletions(-) create mode 100644 d4/9917ff4b10/1/content_hash.txt create mode 100644 d4/9917ff4b10/1/full.jsonl create mode 100644 d4/9917ff4b10/1/metadata.json create mode 100644 d4/9917ff4b10/1/prompt.txt diff --git a/d4/9917ff4b10/1/content_hash.txt b/d4/9917ff4b10/1/content_hash.txt new file mode 100644 index 00000000..c506ad1b --- /dev/null +++ b/d4/9917ff4b10/1/content_hash.txt @@ -0,0 +1 @@ +sha256:59c143d99993331e99507d095718d6510c0365fad0d0838b56c598f497d94175 \ No newline at end of file diff --git a/d4/9917ff4b10/1/full.jsonl b/d4/9917ff4b10/1/full.jsonl new file mode 100644 index 00000000..11afddc9 --- /dev/null +++ b/d4/9917ff4b10/1/full.jsonl @@ -0,0 +1,180 @@ +{"type":"file-history-snapshot","messageId":"5bfd63b6-12f6-4d72-8925-1ea612030bca","snapshot":{"messageId":"5bfd63b6-12f6-4d72-8925-1ea612030bca","trackedFileBackups":{},"timestamp":"2026-03-12T11:42:20.141Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"ec6c102e-9e70-494b-b2f0-b06dd8234231","toolUseID":"ec6c102e-9e70-494b-b2f0-b06dd8234231","timestamp":"2026-03-12T11:42:20.075Z","uuid":"8dfb1c75-8af6-4426-828a-2d74dfcc2fdc"} +{"parentUuid":"8dfb1c75-8af6-4426-828a-2d74dfcc2fdc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","type":"user","message":{"role":"user","content":"Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to."},"isMeta":true,"uuid":"8c8d1c67-562a-4395-8b3b-1c839d22ed9b","timestamp":"2026-03-12T11:42:20.141Z"} +{"parentUuid":"8c8d1c67-562a-4395-8b3b-1c839d22ed9b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","type":"user","message":{"role":"user","content":"/clear\n clear\n "},"uuid":"5bfd63b6-12f6-4d72-8925-1ea612030bca","timestamp":"2026-03-12T11:42:19.937Z"} +{"parentUuid":"5bfd63b6-12f6-4d72-8925-1ea612030bca","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","type":"system","subtype":"local_command","content":"","level":"info","timestamp":"2026-03-12T11:42:20.141Z","uuid":"dc7c0192-ae15-4ccf-b3c2-e9caad328838","isMeta":false} +{"type":"file-history-snapshot","messageId":"4a0082bc-6d63-45f6-ae39-7f7345e0c7d1","snapshot":{"messageId":"4a0082bc-6d63-45f6-ae39-7f7345e0c7d1","trackedFileBackups":{},"timestamp":"2026-03-12T11:44:54.598Z"},"isSnapshotUpdate":false} +{"parentUuid":"dc7c0192-ae15-4ccf-b3c2-e9caad328838","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"user","message":{"role":"user","content":"The buildStatsQuery is still very slow and does not return. This is the endpoint http://localhost:8080/monitoring/users/?cluster=woody&startTime=last30d . Check again the query and find improvements."},"uuid":"4a0082bc-6d63-45f6-ae39-7f7345e0c7d1","timestamp":"2026-03-12T11:44:53.811Z","permissionMode":"plan"} +{"parentUuid":"4a0082bc-6d63-45f6-ae39-7f7345e0c7d1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","message":{"model":"claude-opus-4-6","id":"msg_013WfRAEbaNeUquoVGrRgUjj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvEBCkYICxgCKkB1diUlWcrZBte4Ni2NIkr4c2uJrUChYjosPGfCAVguGNJDcX/K45smrM+TLERxtFyj2dPXCJvBb6NyVIcrwlg8EgxalNEhk5yeMqTzNLcaDCqBIlTy6VmKNu7ZOiIwyyCj5rgsrErQ0PaeCty1RdmpsYytXjiN8KvqMYHhdjN7CK2gmiI4m9cwk5gr3mY4Klm62dPg6730A0MhrgFSqhw88ZvTrgYKwSmz2onck6Okltw++fo0rK8p4EBEir1rMQtQAFEvhVpXMyEfSSr+Y87fFRV7GQeRXkK5JasGSRGKy3rhfDNseJ/S9hgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5466,"cache_read_input_tokens":14245,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5466},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYy8RyHNWHu3gqEWb1Y2g","type":"assistant","uuid":"8c698a29-2e88-4863-92ad-6e9203a0e5f1","timestamp":"2026-03-12T11:44:56.702Z"} +{"parentUuid":"8c698a29-2e88-4863-92ad-6e9203a0e5f1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","message":{"model":"claude-opus-4-6","id":"msg_013WfRAEbaNeUquoVGrRgUjj","type":"message","role":"assistant","content":[{"type":"text","text":"Let me explore the stats query code and the relevant endpoint to understand the performance issue."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5466,"cache_read_input_tokens":14245,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5466},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYy8RyHNWHu3gqEWb1Y2g","type":"assistant","uuid":"18621cda-7cb8-45d4-b9bb-e86cd0824334","timestamp":"2026-03-12T11:44:57.216Z"} 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+{"parentUuid":"e90b48b8-f92a-46e7-bfe4-5dcf8dbd69ad","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WrhmG3Zz7AHYaLZ3wqwxdp","toolUseID":"toolu_01WrhmG3Zz7AHYaLZ3wqwxdp","timestamp":"2026-03-12T11:44:58.115Z","uuid":"7b7eeb54-b4a0-4053-9506-2454776bc9f1"} +{"parentUuid":"e90b48b8-f92a-46e7-bfe4-5dcf8dbd69ad","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WrhmG3Zz7AHYaLZ3wqwxdp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"testing\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 13→)\n 14→\n 15→func TestBuildJobStatsQuery(t *testing.T) {\n 16→\tr := setup(t)\n 17→\tq := r.buildStatsQuery(nil, \"USER\", 300, nil)\n 18→\n 19→\tsql, _, err := q.ToSql()\n 20→\tnoErr(t, err)\n 21→\n 22→\tfmt.Printf(\"SQL: %s\\n\", sql)\n 23→}\n 24→\n 25→func TestJobStats(t *testing.T) {\n 26→\tr := setup(t)\n 27→\n 28→\tvar expectedCount int\n 29→\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n 30→\tnoErr(t, err)\n 31→\n 32→\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{}, nil)\n 33→\tnoErr(t, err)\n 34→\n 35→\tif stats[0].TotalJobs != expectedCount {\n 36→\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n 37→\t}\n 38→}\n 39→"}]},"uuid":"63576920-13e3-49d7-b96a-e5351364a479","timestamp":"2026-03-12T11:44:58.114Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"fmt\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\nfunc TestBuildJobStatsQuery(t *testing.T) {\n\tr := setup(t)\n\tq := r.buildStatsQuery(nil, \"USER\", 300, nil)\n\n\tsql, _, err := q.ToSql()\n\tnoErr(t, err)\n\n\tfmt.Printf(\"SQL: %s\\n\", sql)\n}\n\nfunc TestJobStats(t *testing.T) {\n\tr := setup(t)\n\n\tvar expectedCount int\n\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n\tnoErr(t, err)\n\n\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{}, nil)\n\tnoErr(t, err)\n\n\tif stats[0].TotalJobs != expectedCount {\n\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n\t}\n}\n","numLines":39,"startLine":1,"totalLines":39}},"sourceToolAssistantUUID":"e90b48b8-f92a-46e7-bfe4-5dcf8dbd69ad"} +{"parentUuid":"63576920-13e3-49d7-b96a-e5351364a479","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VJYhDpez1AkDGAkYWJjvBp","toolUseID":"toolu_01VJYhDpez1AkDGAkYWJjvBp","timestamp":"2026-03-12T11:44:58.436Z","uuid":"5d0a9c77-2d6d-465a-94a3-0fabd6e4a162"} +{"parentUuid":"52cf1c20-0092-4eb8-8122-36566a1a74c8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VJYhDpez1AkDGAkYWJjvBp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}\n 229→\n 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tstart := time.Now()\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→\treqFields map[string]bool,\n 351→) ([]*model.JobsStatistics, error) {\n 352→\tstart := time.Now()\n 353→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 354→\tquery, err := SecurityCheck(ctx, query)\n 355→\tif err != nil {\n 356→\t\treturn nil, err\n 357→\t}\n 358→\n 359→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 360→\tstats := make([]*model.JobsStatistics, 0, 1)\n 361→\n 362→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 363→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 364→\t\tcclog.Warn(\"Error while scanning rows\")\n 365→\t\treturn nil, err\n 366→\t}\n 367→\n 368→\tif jobs.Valid {\n 369→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 370→\n 371→\t\tif nodeHours.Valid {\n 372→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 373→\t\t}\n 374→\t\tif coreHours.Valid {\n 375→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 376→\t\t}\n 377→\t\tif accHours.Valid {\n 378→\t\t\ttotalAccHours = int(accHours.Int64)\n 379→\t\t}\n 380→\t\tstats = append(stats,\n 381→\t\t\t&model.JobsStatistics{\n 382→\t\t\t\tTotalJobs: int(jobs.Int64),\n 383→\t\t\t\tTotalUsers: int(users.Int64),\n 384→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 385→\t\t\t\tTotalNodeHours: totalNodeHours,\n 386→\t\t\t\tTotalCoreHours: totalCoreHours,\n 387→\t\t\t\tTotalAccHours: totalAccHours,\n 388→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 389→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 390→\t\t\t})\n 391→\t}\n 392→\n 393→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 394→\treturn stats, nil\n 395→}\n 396→\n 397→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 398→// Returns 0.0 if the metric is not found or statType is invalid.\n 399→//\n 400→// Parameters:\n 401→// - job: Job struct with populated Statistics field\n 402→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 403→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 404→//\n 405→// Returns the requested statistic value or 0.0 if not found.\n 406→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 407→\tif stats, ok := job.Statistics[metric]; ok {\n 408→\t\tswitch statType {\n 409→\t\tcase \"avg\":\n 410→\t\t\treturn stats.Avg\n 411→\t\tcase \"max\":\n 412→\t\t\treturn stats.Max\n 413→\t\tcase \"min\":\n 414→\t\t\treturn stats.Min\n 415→\t\tdefault:\n 416→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 417→\t\t}\n 418→\t}\n 419→\n 420→\treturn 0.0\n 421→}\n 422→\n 423→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 424→//\n 425→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 426→// avoiding the overhead of calculating walltime and resource usage metrics.\n 427→//\n 428→// Parameters:\n 429→// - ctx: Context for security checks\n 430→// - filter: Filters to apply\n 431→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 432→//\n 433→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 434→func (r *JobRepository) JobCountGrouped(\n 435→\tctx context.Context,\n 436→\tfilter []*model.JobFilter,\n 437→\tgroupBy *model.Aggregate,\n 438→) ([]*model.JobsStatistics, error) {\n 439→\tstart := time.Now()\n 440→\tcol := groupBy2column[*groupBy]\n 441→\tquery := r.buildCountQuery(filter, \"\", col)\n 442→\tquery, err := SecurityCheck(ctx, query)\n 443→\tif err != nil {\n 444→\t\treturn nil, err\n 445→\t}\n 446→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 447→\tif err != nil {\n 448→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 449→\t\treturn nil, err\n 450→\t}\n 451→\tdefer rows.Close()\n 452→\n 453→\tstats := make([]*model.JobsStatistics, 0, 100)\n 454→\n 455→\tfor rows.Next() {\n 456→\t\tvar id sql.NullString\n 457→\t\tvar cnt sql.NullInt64\n 458→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 459→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 460→\t\t\treturn nil, err\n 461→\t\t}\n 462→\t\tif id.Valid {\n 463→\t\t\tstats = append(stats,\n 464→\t\t\t\t&model.JobsStatistics{\n 465→\t\t\t\t\tID: id.String,\n 466→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 467→\t\t\t\t})\n 468→\t\t}\n 469→\t}\n 470→\n 471→\tif err := rows.Err(); err != nil {\n 472→\t\treturn nil, err\n 473→\t}\n 474→\n 475→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 476→\treturn stats, nil\n 477→}\n 478→\n 479→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 480→//\n 481→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 482→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 483→//\n 484→// Parameters:\n 485→// - ctx: Context for security checks\n 486→// - filter: Filters to apply\n 487→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 488→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 489→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 490→//\n 491→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 492→// Groups without matching jobs will have 0 for the added field.\n 493→func (r *JobRepository) AddJobCountGrouped(\n 494→\tctx context.Context,\n 495→\tfilter []*model.JobFilter,\n 496→\tgroupBy *model.Aggregate,\n 497→\tstats []*model.JobsStatistics,\n 498→\tkind string,\n 499→) ([]*model.JobsStatistics, error) {\n 500→\tstart := time.Now()\n 501→\tcol := groupBy2column[*groupBy]\n 502→\tquery := r.buildCountQuery(filter, kind, col)\n 503→\tquery, err := SecurityCheck(ctx, query)\n 504→\tif err != nil {\n 505→\t\treturn nil, err\n 506→\t}\n 507→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 508→\tif err != nil {\n 509→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 510→\t\treturn nil, err\n 511→\t}\n 512→\tdefer rows.Close()\n 513→\n 514→\tcounts := make(map[string]int)\n 515→\n 516→\tfor rows.Next() {\n 517→\t\tvar id sql.NullString\n 518→\t\tvar cnt sql.NullInt64\n 519→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 520→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 521→\t\t\treturn nil, err\n 522→\t\t}\n 523→\t\tif id.Valid {\n 524→\t\t\tcounts[id.String] = int(cnt.Int64)\n 525→\t\t}\n 526→\t}\n 527→\n 528→\tif err := rows.Err(); err != nil {\n 529→\t\treturn nil, err\n 530→\t}\n 531→\n 532→\tswitch kind {\n 533→\tcase \"running\":\n 534→\t\tfor _, s := range stats {\n 535→\t\t\ts.RunningJobs = counts[s.ID]\n 536→\t\t}\n 537→\tcase \"short\":\n 538→\t\tfor _, s := range stats {\n 539→\t\t\ts.ShortJobs = counts[s.ID]\n 540→\t\t}\n 541→\t}\n 542→\n 543→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 544→\treturn stats, nil\n 545→}\n 546→\n 547→// AddJobCount augments existing overall statistics with additional job counts by category.\n 548→//\n 549→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 550→// to all statistics entries (typically just one).\n 551→//\n 552→// Parameters:\n 553→// - ctx: Context for security checks\n 554→// - filter: Filters to apply\n 555→// - stats: Existing statistics to augment (modified in-place)\n 556→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 557→//\n 558→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 559→func (r *JobRepository) AddJobCount(\n 560→\tctx context.Context,\n 561→\tfilter []*model.JobFilter,\n 562→\tstats []*model.JobsStatistics,\n 563→\tkind string,\n 564→) ([]*model.JobsStatistics, error) {\n 565→\tstart := time.Now()\n 566→\tquery := r.buildCountQuery(filter, kind, \"\")\n 567→\tquery, err := SecurityCheck(ctx, query)\n 568→\tif err != nil {\n 569→\t\treturn nil, err\n 570→\t}\n 571→\tvar cnt sql.NullInt64\n 572→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 573→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 574→\t\treturn nil, err\n 575→\t}\n 576→\n 577→\tcount := int(cnt.Int64)\n 578→\n 579→\tswitch kind {\n 580→\tcase \"running\":\n 581→\t\tfor _, s := range stats {\n 582→\t\t\ts.RunningJobs = count\n 583→\t\t}\n 584→\tcase \"short\":\n 585→\t\tfor _, s := range stats {\n 586→\t\t\ts.ShortJobs = count\n 587→\t\t}\n 588→\t}\n 589→\n 590→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 591→\treturn stats, nil\n 592→}\n 593→\n 594→// AddHistograms augments statistics with distribution histograms for job properties.\n 595→//\n 596→// Generates histogram data for visualization of job duration, node count, core count,\n 597→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 598→// on the requested resolution.\n 599→//\n 600→// Parameters:\n 601→// - ctx: Context for security checks\n 602→// - filter: Filters to apply to jobs included in histograms\n 603→// - stat: Statistics struct to augment (modified in-place)\n 604→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 605→//\n 606→// Populates these fields in stat:\n 607→// - HistDuration: Job duration distribution (zero-padded bins)\n 608→// - HistNumNodes: Node count distribution\n 609→// - HistNumCores: Core (hwthread) count distribution\n 610→// - HistNumAccs: Accelerator count distribution\n 611→//\n 612→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 613→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 614→func (r *JobRepository) AddHistograms(\n 615→\tctx context.Context,\n 616→\tfilter []*model.JobFilter,\n 617→\tstat *model.JobsStatistics,\n 618→\tdurationBins *string,\n 619→) (*model.JobsStatistics, error) {\n 620→\tstart := time.Now()\n 621→\n 622→\tvar targetBinCount int\n 623→\tvar targetBinSize int\n 624→\tswitch *durationBins {\n 625→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 626→\t\ttargetBinCount = 60\n 627→\t\ttargetBinSize = 60\n 628→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 629→\t\ttargetBinCount = 72\n 630→\t\ttargetBinSize = 600\n 631→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 632→\t\ttargetBinCount = 48\n 633→\t\ttargetBinSize = 3600\n 634→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 635→\t\ttargetBinCount = 12\n 636→\t\ttargetBinSize = 21600\n 637→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 638→\t\ttargetBinCount = 14\n 639→\t\ttargetBinSize = 43200\n 640→\tdefault: // 24h\n 641→\t\ttargetBinCount = 24\n 642→\t\ttargetBinSize = 3600\n 643→\t}\n 644→\n 645→\tvar err error\n 646→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 649→\tif err != nil {\n 650→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 651→\t\treturn nil, err\n 652→\t}\n 653→\n 654→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 655→\tif err != nil {\n 656→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 657→\t\treturn nil, err\n 658→\t}\n 659→\n 660→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 661→\tif err != nil {\n 662→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 663→\t\treturn nil, err\n 664→\t}\n 665→\n 666→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 667→\tif err != nil {\n 668→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 669→\t\treturn nil, err\n 670→\t}\n 671→\n 672→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 673→\treturn stat, nil\n 674→}\n 675→\n 676→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 677→//\n 678→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 679→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 680→// use footprint data from database.\n 681→//\n 682→// Parameters:\n 683→// - ctx: Context for security checks\n 684→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 685→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 686→// - stat: Statistics struct to augment (modified in-place)\n 687→// - targetBinCount: Number of histogram bins (default: 10)\n 688→//\n 689→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 690→//\n 691→// Binning algorithm:\n 692→// - Values normalized to metric's peak value from cluster configuration\n 693→// - Bins evenly distributed from 0 to peak\n 694→// - Pre-initialized with zeros for consistent visualization\n 695→//\n 696→// Limitations:\n 697→// - Running jobs: Limited to 5000 jobs for performance\n 698→// - Requires valid cluster configuration with metric peak values\n 699→// - Uses footprint statistic (avg/max/min) configured per metric\n 700→func (r *JobRepository) AddMetricHistograms(\n 701→\tctx context.Context,\n 702→\tfilter []*model.JobFilter,\n 703→\tmetrics []string,\n 704→\tstat *model.JobsStatistics,\n 705→\ttargetBinCount *int,\n 706→) (*model.JobsStatistics, error) {\n 707→\tstart := time.Now()\n 708→\n 709→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 710→\tfor _, f := range filter {\n 711→\t\tif f.State != nil {\n 712→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 713→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 714→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 715→\t\t\t\treturn stat, nil\n 716→\t\t\t}\n 717→\t\t}\n 718→\t}\n 719→\n 720→\t// All other cases: Query and make bins in sqlite directly\n 721→\tfor _, m := range metrics {\n 722→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 723→\t\tif err != nil {\n 724→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 725→\t\t\tcontinue\n 726→\t\t}\n 727→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 728→\t}\n 729→\n 730→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 731→\treturn stat, nil\n 732→}\n 733→\n 734→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 735→//\n 736→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 737→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 738→//\n 739→// Parameters:\n 740→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 741→// - filters: Job filters to apply\n 742→//\n 743→// Returns histogram points with Value (from column) and Count (number of jobs).\n 744→func (r *JobRepository) jobsStatisticsHistogram(\n 745→\tctx context.Context,\n 746→\tvalue string,\n 747→\tfilters []*model.JobFilter,\n 748→) ([]*model.HistoPoint, error) {\n 749→\tstart := time.Now()\n 750→\tquery, qerr := SecurityCheck(ctx,\n 751→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 752→\n 753→\tif qerr != nil {\n 754→\t\treturn nil, qerr\n 755→\t}\n 756→\n 757→\tfor _, f := range filters {\n 758→\t\tquery = BuildWhereClause(f, query)\n 759→\t}\n 760→\n 761→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 762→\tif err != nil {\n 763→\t\tcclog.Error(\"Error while running query\")\n 764→\t\treturn nil, err\n 765→\t}\n 766→\tdefer rows.Close()\n 767→\n 768→\tpoints := make([]*model.HistoPoint, 0)\n 769→\t// is it possible to introduce zero values here? requires info about bincount\n 770→\tfor rows.Next() {\n 771→\t\tpoint := model.HistoPoint{}\n 772→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 773→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 774→\t\t\treturn nil, err\n 775→\t\t}\n 776→\n 777→\t\tpoints = append(points, &point)\n 778→\t}\n 779→\n 780→\tif err := rows.Err(); err != nil {\n 781→\t\treturn nil, err\n 782→\t}\n 783→\n 784→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 785→\treturn points, nil\n 786→}\n 787→\n 788→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 789→//\n 790→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 791→// histograms which only return bins with data. The value parameter should compute\n 792→// the bin number from job duration.\n 793→//\n 794→// Parameters:\n 795→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 796→// - filters: Job filters to apply\n 797→// - binSizeSeconds: Width of each bin in seconds\n 798→// - targetBinCount: Number of bins to pre-initialize\n 799→//\n 800→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 801→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 802→//\n 803→// Algorithm:\n 804→// 1. Pre-initialize targetBinCount bins with zero counts\n 805→// 2. Query database for actual counts per bin\n 806→// 3. Match query results to pre-initialized bins by value\n 807→// 4. Bins without matches remain at zero\n 808→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 809→\tctx context.Context,\n 810→\tvalue string,\n 811→\tfilters []*model.JobFilter,\n 812→\tbinSizeSeconds int,\n 813→\ttargetBinCount *int,\n 814→) ([]*model.HistoPoint, error) {\n 815→\tstart := time.Now()\n 816→\tquery, qerr := SecurityCheck(ctx,\n 817→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 818→\n 819→\tif qerr != nil {\n 820→\t\treturn nil, qerr\n 821→\t}\n 822→\n 823→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 824→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 825→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 826→\tfor i := 1; i <= *targetBinCount; i++ {\n 827→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 828→\t\tpoints = append(points, &point)\n 829→\t}\n 830→\n 831→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 832→\tbinMap := make(map[int]int, len(points))\n 833→\tfor i, p := range points {\n 834→\t\tbinMap[p.Value] = i\n 835→\t}\n 836→\n 837→\tfor _, f := range filters {\n 838→\t\tquery = BuildWhereClause(f, query)\n 839→\t}\n 840→\n 841→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 842→\tif err != nil {\n 843→\t\tcclog.Error(\"Error while running query\")\n 844→\t\treturn nil, err\n 845→\t}\n 846→\tdefer rows.Close()\n 847→\n 848→\t// Match query results to pre-initialized bins using map lookup.\n 849→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 850→\tfor rows.Next() {\n 851→\t\tpoint := model.HistoPoint{}\n 852→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 853→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 854→\t\t\treturn nil, err\n 855→\t\t}\n 856→\n 857→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 858→\t\t\tpoints[idx].Count = point.Count\n 859→\t\t}\n 860→\t}\n 861→\n 862→\tif err := rows.Err(); err != nil {\n 863→\t\treturn nil, err\n 864→\t}\n 865→\n 866→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 867→\treturn points, nil\n 868→}\n 869→\n 870→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 871→//\n 872→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 873→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 874→// and computing bin assignments in SQL.\n 875→//\n 876→// Parameters:\n 877→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 878→// - filters: Job filters to apply\n 879→// - bins: Number of bins to generate\n 880→//\n 881→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 882→//\n 883→// Algorithm:\n 884→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 885→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 886→// 3. Pre-initialize bins with min/max ranges based on peak value\n 887→// 4. Query database for counts per bin\n 888→// 5. Match results to pre-initialized bins\n 889→//\n 890→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 891→// peak by 0.999999999 to avoid creating an extra bin.\n 892→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 893→\tctx context.Context,\n 894→\tmetric string,\n 895→\tfilters []*model.JobFilter,\n 896→\tbins *int,\n 897→) (*model.MetricHistoPoints, error) {\n 898→\t// Peak value defines the upper bound for binning: values are distributed across\n 899→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 900→\t// scan all clusters to find the maximum peak value.\n 901→\tvar metricConfig *schema.MetricConfig\n 902→\tvar peak float64\n 903→\tvar unit string\n 904→\tvar footprintStat string\n 905→\n 906→\t// Try to get metric config from filtered cluster\n 907→\tfor _, f := range filters {\n 908→\t\tif f.Cluster != nil {\n 909→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 910→\t\t\tpeak = metricConfig.Peak\n 911→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 912→\t\t\tfootprintStat = metricConfig.Footprint\n 913→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 914→\t\t}\n 915→\t}\n 916→\n 917→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 918→\t// This ensures histogram can accommodate all possible values\n 919→\tif peak == 0.0 {\n 920→\t\tfor _, c := range archive.Clusters {\n 921→\t\t\tfor _, m := range c.MetricConfig {\n 922→\t\t\t\tif m.Name == metric {\n 923→\t\t\t\t\tif m.Peak > peak {\n 924→\t\t\t\t\t\tpeak = m.Peak\n 925→\t\t\t\t\t}\n 926→\t\t\t\t\tif unit == \"\" {\n 927→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 928→\t\t\t\t\t}\n 929→\t\t\t\t\tif footprintStat == \"\" {\n 930→\t\t\t\t\t\tfootprintStat = m.Footprint\n 931→\t\t\t\t\t}\n 932→\t\t\t\t}\n 933→\t\t\t}\n 934→\t\t}\n 935→\t}\n 936→\n 937→\t// Construct SQL histogram bins using normalized values.\n 938→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 939→\tstart := time.Now()\n 940→\n 941→\t// Bin calculation formula:\n 942→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 943→\t// Special case: value == peak would create bin N+1, so we test for equality\n 944→\t// and multiply peak by 0.999999999 to force it into bin N.\n 945→\tbinQuery := fmt.Sprintf(`CAST(\n 946→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 947→\t\t* %v as INTEGER )`,\n 948→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 949→\n 950→\tmainQuery := sq.Select(\n 951→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 952→\t\t`count(*) as count`,\n 953→\t).From(\"job\").Where(\n 954→\t\t\"JSON_VALID(footprint)\",\n 955→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 956→\n 957→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 958→\tif qerr != nil {\n 959→\t\treturn nil, qerr\n 960→\t}\n 961→\n 962→\tfor _, f := range filters {\n 963→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 964→\t}\n 965→\n 966→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 967→\n 968→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 969→\tif err != nil {\n 970→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 971→\t\treturn nil, err\n 972→\t}\n 973→\tdefer rows.Close()\n 974→\n 975→\t// Pre-initialize bins with calculated min/max ranges.\n 976→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 977→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 978→\tbinStep := int(peak) / *bins\n 979→\tfor i := 1; i <= *bins; i++ {\n 980→\t\tbinMin := (binStep * (i - 1))\n 981→\t\tbinMax := (binStep * i)\n 982→\t\tidx := i\n 983→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 984→\t\tpoints = append(points, &epoint)\n 985→\t}\n 986→\n 987→\t// Build a map from bin number to slice index for O(1) lookup.\n 988→\tbinMap := make(map[int]int, len(points))\n 989→\tfor i, p := range points {\n 990→\t\tif p.Bin != nil {\n 991→\t\t\tbinMap[*p.Bin] = i\n 992→\t\t}\n 993→\t}\n 994→\n 995→\t// Match query results to pre-initialized bins using map lookup.\n 996→\tfor rows.Next() {\n 997→\t\trpoint := model.MetricHistoPoint{}\n 998→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 999→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1000→\t\t\treturn nil, err\n 1001→\t\t}\n 1002→\n 1003→\t\tif rpoint.Bin != nil {\n 1004→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1005→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1006→\t\t\t}\n 1007→\t\t}\n 1008→\t}\n 1009→\n 1010→\tif err := rows.Err(); err != nil {\n 1011→\t\treturn nil, err\n 1012→\t}\n 1013→\n 1014→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1015→\n 1016→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1017→\treturn &result, nil\n 1018→}\n 1019→\n 1020→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1021→//\n 1022→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1023→// fetching current metric averages from the metric backend (via metricdispatch).\n 1024→//\n 1025→// Parameters:\n 1026→// - metrics: List of metric names\n 1027→// - filters: Job filters (should filter to running jobs only)\n 1028→// - bins: Number of histogram bins\n 1029→//\n 1030→// Returns slice of MetricHistoPoints, one per metric.\n 1031→//\n 1032→// Limitations:\n 1033→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1034→// - Requires metric backend availability\n 1035→// - Bins based on metric peak values from cluster configuration\n 1036→//\n 1037→// Algorithm:\n 1038→// 1. Query first 5001 jobs to check count limit\n 1039→// 2. Load metric averages for all jobs via metricdispatch\n 1040→// 3. For each metric, create bins based on peak value\n 1041→// 4. Iterate averages and count jobs per bin\n 1042→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1043→\tctx context.Context,\n 1044→\tmetrics []string,\n 1045→\tfilters []*model.JobFilter,\n 1046→\tbins *int,\n 1047→) []*model.MetricHistoPoints {\n 1048→\t// Get Jobs\n 1049→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1050→\tif err != nil {\n 1051→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1052→\t\treturn nil\n 1053→\t}\n 1054→\tif len(jobs) > 5000 {\n 1055→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1056→\t\treturn nil\n 1057→\t}\n 1058→\n 1059→\t// Get AVGs from metric repo\n 1060→\tavgs := make([][]schema.Float, len(metrics))\n 1061→\tfor i := range avgs {\n 1062→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1063→\t}\n 1064→\n 1065→\tfor _, job := range jobs {\n 1066→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1067→\t\t\tcontinue\n 1068→\t\t}\n 1069→\n 1070→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1071→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1072→\t\t\treturn nil\n 1073→\t\t}\n 1074→\t}\n 1075→\n 1076→\t// Iterate metrics to fill endresult\n 1077→\tdata := make([]*model.MetricHistoPoints, 0)\n 1078→\tfor idx, metric := range metrics {\n 1079→\t\t// Get specific Peak or largest Peak\n 1080→\t\tvar metricConfig *schema.MetricConfig\n 1081→\t\tvar peak float64\n 1082→\t\tvar unit string\n 1083→\n 1084→\t\tfor _, f := range filters {\n 1085→\t\t\tif f.Cluster != nil {\n 1086→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1087→\t\t\t\tpeak = metricConfig.Peak\n 1088→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1089→\t\t\t}\n 1090→\t\t}\n 1091→\n 1092→\t\tif peak == 0.0 {\n 1093→\t\t\tfor _, c := range archive.Clusters {\n 1094→\t\t\t\tfor _, m := range c.MetricConfig {\n 1095→\t\t\t\t\tif m.Name == metric {\n 1096→\t\t\t\t\t\tif m.Peak > peak {\n 1097→\t\t\t\t\t\t\tpeak = m.Peak\n 1098→\t\t\t\t\t\t}\n 1099→\t\t\t\t\t\tif unit == \"\" {\n 1100→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1101→\t\t\t\t\t\t}\n 1102→\t\t\t\t\t}\n 1103→\t\t\t\t}\n 1104→\t\t\t}\n 1105→\t\t}\n 1106→\n 1107→\t\t// Make and fill bins\n 1108→\t\tpeakBin := int(peak) / *bins\n 1109→\n 1110→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1111→\t\tfor b := 0; b < *bins; b++ {\n 1112→\t\t\tcount := 0\n 1113→\t\t\tbindex := b + 1\n 1114→\t\t\tbmin := peakBin * b\n 1115→\t\t\tbmax := peakBin * (b + 1)\n 1116→\n 1117→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1118→\t\t\tfor _, val := range avgs[idx] {\n 1119→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1120→\t\t\t\t\tcount += 1\n 1121→\t\t\t\t}\n 1122→\t\t\t}\n 1123→\n 1124→\t\t\t// Append Bin to Metric Result Array\n 1125→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1126→\t\t\tpoints = append(points, &point)\n 1127→\t\t}\n 1128→\n 1129→\t\t// Append Metric Result Array to final results array\n 1130→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1131→\t\tdata = append(data, &result)\n 1132→\t}\n 1133→\n 1134→\treturn data\n 1135→}\n 1136→"}]},"uuid":"3a60dd95-a8c5-4db3-8231-416cd742a565","timestamp":"2026-03-12T11:44:58.436Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1136,"startLine":1,"totalLines":1136}},"sourceToolAssistantUUID":"52cf1c20-0092-4eb8-8122-36566a1a74c8"} 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index for grouped stats queries\n 2→-- Covers the common pattern: WHERE cluster=X AND start_time >= Y GROUP BY hpc_user\n 3→-- Includes aggregated columns to avoid main table lookups entirely.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime_user_stats\n 6→ ON job (cluster, start_time, hpc_user, duration, job_state, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→PRAGMA optimize;\n 9→"}]},"uuid":"b163bfcc-1de1-46ce-b4f6-d93a533ce743","timestamp":"2026-03-12T11:45:01.863Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/12_stats-covering-index.up.sql","content":"-- Migration 12: Add covering index for grouped stats queries\n-- Covers the common pattern: WHERE cluster=X AND start_time >= Y GROUP BY hpc_user\n-- Includes aggregated columns to avoid main table lookups entirely.\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_starttime_user_stats\n ON job (cluster, start_time, hpc_user, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\nPRAGMA optimize;\n","numLines":9,"startLine":1,"totalLines":9}},"sourceToolAssistantUUID":"061f8bdd-869a-4a95-8b22-2a19031c48c7"} +{"parentUuid":"b163bfcc-1de1-46ce-b4f6-d93a533ce743","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","message":{"model":"claude-opus-4-6","id":"msg_017mCGn1fu9DfpDrXAMH7sSB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L2wX5pHxehktnRkRAHuwgZ","name":"Agent","input":{"subagent_type":"Explore","description":"Find stats query callers","prompt":"In /Users/jan/prg/ClusterCockpit/cc-backend, find all code that calls JobsStatsGrouped or leads to the `/monitoring/users/` endpoint. I need to understand:\n1. What GraphQL query is made when visiting `/monitoring/users/?cluster=woody&startTime=last30d`\n2. What filters are passed to buildStatsQuery\n3. What the BuildWhereClause function does (in internal/repository/)\n4. What indexes exist on the job table (check migration files in internal/repository/migrations/sqlite3/)\n5. The schema of the job table\n\nBe thorough - check the frontend Svelte files (web/frontend/src/List.root.svelte), GraphQL schema (api/schema.graphqls), resolvers (internal/graph/schema.resolvers.go), and the filter/where clause builder."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":491,"cache_creation_input_tokens":16199,"cache_read_input_tokens":19711,"output_tokens":388,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":16199},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYy8SFaQ4SKr1uracTvJL","type":"assistant","uuid":"ddc8fdb6-a88e-4698-8001-c60c67c34a95","timestamp":"2026-03-12T11:45:07.271Z"} +{"parentUuid":"ddc8fdb6-a88e-4698-8001-c60c67c34a95","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"58f4c52d-9eb5-4f7c-9c2b-c7b4015432dd","timestamp":"2026-03-12T11:45:07.272Z"} +{"parentUuid":"58f4c52d-9eb5-4f7c-9c2b-c7b4015432dd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"In /Users/jan/prg/ClusterCockpit/cc-backend, find all code that calls JobsStatsGrouped or leads to the `/monitoring/users/` endpoint. I need to understand:\n1. What GraphQL query is made when visiting `/monitoring/users/?cluster=woody&startTime=last30d`\n2. What filters are passed to buildStatsQuery\n3. What the BuildWhereClause function does (in internal/repository/)\n4. What indexes exist on the job table (check migration files in internal/repository/migrations/sqlite3/)\n5. The schema of the job table\n\nBe thorough - check the frontend Svelte files (web/frontend/src/List.root.svelte), GraphQL schema (api/schema.graphqls), resolvers (internal/graph/schema.resolvers.go), and the filter/where clause builder."}]},"uuid":"3b316519-cfd7-42bf-960a-77cb4d5695b8","timestamp":"2026-03-12T11:45:07.583Z"},"type":"agent_progress","prompt":"In /Users/jan/prg/ClusterCockpit/cc-backend, find all code that calls JobsStatsGrouped or leads to the `/monitoring/users/` endpoint. I need to understand:\n1. What GraphQL query is made when visiting `/monitoring/users/?cluster=woody&startTime=last30d`\n2. What filters are passed to buildStatsQuery\n3. What the BuildWhereClause function does (in internal/repository/)\n4. What indexes exist on the job table (check migration files in internal/repository/migrations/sqlite3/)\n5. 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paginatedRows as row (row.id)}\n 373→ \n 374→ \n 387→ {#if type == \"USER\"}\n 388→ {scrambleNames\n 390→ ? scramble(row?.name ? row.name : \"-\")\n 391→ : row?.name\n 392→ ? row.name\n 393→ : \"-\"}\n 395→ {/if}\n 396→ \n 397→ \n 398→ {#if fetchRunning}\n 399→ \n 400→ \n 401→ {/if}\n 402→ \n 403→ \n 404→ \n 405→ \n 406→ {:else}\n 407→ \n 408→ \n 409→ \n 410→ {/each}\n 411→ {/if}\n 412→ \n 413→
\n 212→ {#if type === 'USER'}\n 213→ Username\n 214→ {:else if type === 'PROJECT'}\n 215→ Project Name\n 216→ {/if}\n 217→ changeSorting(\"id\")}\n 221→ >\n 222→ {#if sorting?.field == \"id\"}\n 223→ \n 224→ \n 225→ {:else}\n 226→ \n 227→ {/if}\n 228→ \n 229→ \n 232→ Name\n 233→ changeSorting(\"name\")}\n 237→ >\n 238→ {#if sorting?.field == \"name\"}\n 239→ \n 240→ {:else}\n 241→ \n 242→ {/if}\n 243→ \n 244→ \n 247→ Total Jobs\n 248→ changeSorting(\"totalJobs\")}\n 252→ >\n 253→ {#if sorting?.field == \"totalJobs\"}\n 254→ \n 255→ \n 256→ {:else}\n 257→ \n 258→ {/if}\n 259→ \n 260→ \n 262→ \n 263→ Short Jobs\n 264→ \n 265→ \n 266→ \n 267→ Job duration less than {formatDurationTime(shortDuration)}\n 268→ \n 269→   \n 270→ changeSorting(\"shortJobs\")}\n 274→ >\n 275→ {#if sorting?.field == \"shortJobs\"}\n 276→ \n 277→ \n 278→ {:else}\n 279→ \n 280→ {/if}\n 281→ \n 282→ \n 285→ Total Cores\n 286→ changeSorting(\"totalCores\")}\n 290→ >\n 291→ {#if sorting?.field == \"totalJCores\"}\n 292→ \n 293→ \n 294→ {:else}\n 295→ \n 296→ {/if}\n 297→ \n 298→ \n 300→ Total Accelerators\n 301→ changeSorting(\"totalAccs\")}\n 305→ >\n 306→ {#if sorting?.field == \"totalAccs\"}\n 307→ \n 308→ \n 309→ {:else}\n 310→ \n 311→ {/if}\n 312→ \n 313→ \n 316→ Total Walltime\n 317→ changeSorting(\"totalWalltime\")}\n 321→ >\n 322→ {#if sorting?.field == \"totalWalltime\"}\n 323→ \n 324→ {:else}\n 325→ \n 326→ {/if}\n 327→ \n 328→ \n 330→ Total Core Hours\n 331→ changeSorting(\"totalCoreHours\")}\n 335→ >\n 336→ {#if sorting?.field == \"totalCoreHours\"}\n 337→ \n 338→ {:else}\n 339→ \n 340→ {/if}\n 341→ \n 342→ \n 344→ Total Accelerator Hours\n 345→ changeSorting(\"totalAccHours\")}\n 349→ >\n 350→ {#if sorting?.field == \"totalAccHours\"}\n 351→ \n 352→ {:else}\n 353→ \n 354→ {/if}\n 355→ \n 356→
{$stats.error.message}\n 370→
\n 375→ {#if type == \"USER\"}\n 376→ {scrambleNames ? scramble(row.id) : row.id}\n 379→ {:else if type == \"PROJECT\"}\n 380→ {scrambleNames ? scramble(row.id) : row.id}\n 383→ {:else}\n 384→ {row.id}\n 385→ {/if}\n 386→ {row.totalJobs}{row.shortJobs}{row.totalCores}{row.totalAccs}{row.totalWalltime}{row.totalCoreHours}{row.totalAccHours}
No {type.toLowerCase()}s/jobs found
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+{"parentUuid":"76b0e7b2-80fb-4f60-ae26-5695cb87a4cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SZs8jnxZZK7jGqd8J8Tg2B","type":"tool_result","content":" 1→scalar Time\n 2→scalar Any\n 3→\n 4→scalar NullableFloat\n 5→scalar MetricScope\n 6→scalar JobState\n 7→scalar SchedulerState\n 8→scalar MonitoringState\n 9→\n 10→type Node {\n 11→ id: ID!\n 12→ hostname: String!\n 13→ cluster: String!\n 14→ subCluster: String!\n 15→ jobsRunning: Int!\n 16→ cpusAllocated: Int\n 17→ memoryAllocated: Int\n 18→ gpusAllocated: Int\n 19→ schedulerState: SchedulerState!\n 20→ healthState: MonitoringState!\n 21→ metaData: Any\n 22→ healthData: Any\n 23→}\n 24→\n 25→type NodeStates {\n 26→ state: String!\n 27→ count: Int!\n 28→}\n 29→\n 30→type NodeStatesTimed {\n 31→ state: String!\n 32→ counts: [Int!]!\n 33→ times: [Int!]!\n 34→}\n 35→\n 36→type Job {\n 37→ id: ID!\n 38→ jobId: Int!\n 39→ user: String!\n 40→ project: String!\n 41→ cluster: String!\n 42→ subCluster: String!\n 43→ startTime: Time!\n 44→ duration: Int!\n 45→ walltime: Int!\n 46→ numNodes: Int!\n 47→ numHWThreads: Int!\n 48→ numAcc: Int!\n 49→ energy: Float!\n 50→ SMT: Int!\n 51→ shared: String!\n 52→ partition: String!\n 53→ arrayJobId: Int!\n 54→ monitoringStatus: Int!\n 55→ state: JobState!\n 56→ tags: [Tag!]!\n 57→ resources: [Resource!]!\n 58→ concurrentJobs: JobLinkResultList\n 59→ footprint: [FootprintValue]\n 60→ energyFootprint: [EnergyFootprintValue]\n 61→ metaData: Any\n 62→ userData: User\n 63→}\n 64→\n 65→type JobLink {\n 66→ id: ID!\n 67→ jobId: Int!\n 68→}\n 69→\n 70→type Cluster {\n 71→ name: String!\n 72→ partitions: [String!]! # Slurm partitions\n 73→ subClusters: [SubCluster!]! # Hardware partitions/subclusters\n 74→}\n 75→\n 76→type SubCluster {\n 77→ name: String!\n 78→ nodes: String!\n 79→ numberOfNodes: Int!\n 80→ processorType: String!\n 81→ socketsPerNode: Int!\n 82→ coresPerSocket: Int!\n 83→ threadsPerCore: Int!\n 84→ flopRateScalar: MetricValue!\n 85→ flopRateSimd: MetricValue!\n 86→ memoryBandwidth: MetricValue!\n 87→ topology: Topology!\n 88→ metricConfig: [MetricConfig!]!\n 89→ footprint: [String!]!\n 90→}\n 91→\n 92→type FootprintValue {\n 93→ name: String!\n 94→ stat: String!\n 95→ value: Float!\n 96→}\n 97→\n 98→type EnergyFootprintValue {\n 99→ hardware: String!\n 100→ metric: String!\n 101→ value: Float!\n 102→}\n 103→\n 104→type MetricValue {\n 105→ name: String\n 106→ unit: Unit!\n 107→ value: Float!\n 108→}\n 109→\n 110→type Topology {\n 111→ node: [Int!]\n 112→ socket: [[Int!]!]\n 113→ memoryDomain: [[Int!]!]\n 114→ die: [[Int!]!]\n 115→ core: [[Int!]!]\n 116→ accelerators: [Accelerator!]\n 117→}\n 118→\n 119→type Accelerator {\n 120→ id: String!\n 121→ type: String!\n 122→ model: String!\n 123→}\n 124→\n 125→type SubClusterConfig {\n 126→ name: String!\n 127→ peak: Float\n 128→ normal: Float\n 129→ caution: Float\n 130→ alert: Float\n 131→ remove: Boolean\n 132→}\n 133→\n 134→type MetricConfig {\n 135→ name: String!\n 136→ unit: Unit!\n 137→ scope: MetricScope!\n 138→ aggregation: String!\n 139→ timestep: Int!\n 140→ peak: Float!\n 141→ normal: Float\n 142→ caution: Float!\n 143→ alert: Float!\n 144→ lowerIsBetter: Boolean\n 145→ subClusters: [SubClusterConfig!]!\n 146→}\n 147→\n 148→type Tag {\n 149→ id: ID!\n 150→ type: String!\n 151→ name: String!\n 152→ scope: String!\n 153→}\n 154→\n 155→type Resource {\n 156→ hostname: String!\n 157→ hwthreads: [Int!]\n 158→ accelerators: [String!]\n 159→ configuration: String\n 160→}\n 161→\n 162→type JobMetricWithName {\n 163→ name: String!\n 164→ scope: MetricScope!\n 165→ metric: JobMetric!\n 166→}\n 167→\n 168→type ClusterMetricWithName {\n 169→ name: String!\n 170→ unit: Unit\n 171→ timestep: Int!\n 172→ data: [NullableFloat!]!\n 173→}\n 174→\n 175→type JobMetric {\n 176→ unit: Unit\n 177→ timestep: Int!\n 178→ series: [Series!]\n 179→ statisticsSeries: StatsSeries\n 180→}\n 181→\n 182→type Series {\n 183→ hostname: String!\n 184→ id: String\n 185→ statistics: MetricStatistics\n 186→ data: [NullableFloat!]!\n 187→}\n 188→\n 189→type StatsSeries {\n 190→ mean: [NullableFloat!]!\n 191→ median: [NullableFloat!]!\n 192→ min: [NullableFloat!]!\n 193→ max: [NullableFloat!]!\n 194→}\n 195→\n 196→type NamedStatsWithScope {\n 197→ name: String!\n 198→ scope: MetricScope!\n 199→ stats: [ScopedStats!]!\n 200→}\n 201→\n 202→type ScopedStats {\n 203→ hostname: String!\n 204→ id: String\n 205→ data: MetricStatistics!\n 206→}\n 207→\n 208→type JobStats {\n 209→ id: Int!\n 210→ jobId: String!\n 211→ startTime: Int!\n 212→ duration: Int!\n 213→ cluster: String!\n 214→ subCluster: String!\n 215→ numNodes: Int!\n 216→ numHWThreads: Int\n 217→ numAccelerators: Int\n 218→ stats: [NamedStats!]!\n 219→}\n 220→\n 221→type NamedStats {\n 222→ name: String!\n 223→ data: MetricStatistics!\n 224→}\n 225→\n 226→type Unit {\n 227→ base: String!\n 228→ prefix: String\n 229→}\n 230→\n 231→type MetricStatistics {\n 232→ avg: Float!\n 233→ min: Float!\n 234→ max: Float!\n 235→}\n 236→\n 237→type MetricFootprints {\n 238→ metric: String!\n 239→ data: [NullableFloat!]!\n 240→}\n 241→\n 242→type Footprints {\n 243→ timeWeights: TimeWeights!\n 244→ metrics: [MetricFootprints!]!\n 245→}\n 246→\n 247→type TimeWeights {\n 248→ nodeHours: [NullableFloat!]!\n 249→ accHours: [NullableFloat!]!\n 250→ coreHours: [NullableFloat!]!\n 251→}\n 252→\n 253→enum Aggregate {\n 254→ USER\n 255→ PROJECT\n 256→ CLUSTER\n 257→ SUBCLUSTER\n 258→}\n 259→enum SortByAggregate {\n 260→ TOTALWALLTIME\n 261→ TOTALJOBS\n 262→ TOTALUSERS\n 263→ TOTALNODES\n 264→ TOTALNODEHOURS\n 265→ TOTALCORES\n 266→ TOTALCOREHOURS\n 267→ TOTALACCS\n 268→ TOTALACCHOURS\n 269→}\n 270→\n 271→type NodeMetrics {\n 272→ host: String!\n 273→ state: String!\n 274→ subCluster: String!\n 275→ metrics: [JobMetricWithName!]!\n 276→}\n 277→\n 278→type ClusterMetrics {\n 279→ nodeCount: Int!\n 280→ metrics: [ClusterMetricWithName!]!\n 281→}\n 282→\n 283→type NodesResultList {\n 284→ items: [NodeMetrics!]!\n 285→ offset: Int\n 286→ limit: Int\n 287→ count: Int\n 288→ totalNodes: Int\n 289→ hasNextPage: Boolean\n 290→}\n 291→\n 292→type ClusterSupport {\n 293→ cluster: String!\n 294→ subClusters: [String!]!\n 295→}\n 296→\n 297→type GlobalMetricListItem {\n 298→ name: String!\n 299→ unit: Unit!\n 300→ scope: MetricScope!\n 301→ footprint: String\n 302→ availability: [ClusterSupport!]!\n 303→}\n 304→\n 305→type Count {\n 306→ name: String!\n 307→ count: Int!\n 308→}\n 309→\n 310→type User {\n 311→ username: String!\n 312→ name: String!\n 313→ email: String!\n 314→}\n 315→\n 316→input MetricStatItem {\n 317→ metricName: String!\n 318→ range: FloatRange!\n 319→}\n 320→\n 321→type Query {\n 322→ clusters: [Cluster!]! # List of all clusters\n 323→ tags: [Tag!]! # List of all tags\n 324→ globalMetrics: [GlobalMetricListItem!]!\n 325→\n 326→ user(username: String!): User\n 327→ allocatedNodes(cluster: String!): [Count!]!\n 328→\n 329→ ## Node Queries New\n 330→ node(id: ID!): Node\n 331→ nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n 332→ nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n 333→ nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n 334→ nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n 335→\n 336→ job(id: ID!): Job\n 337→ jobMetrics(\n 338→ id: ID!\n 339→ metrics: [String!]\n 340→ scopes: [MetricScope!]\n 341→ resolution: Int\n 342→ ): [JobMetricWithName!]!\n 343→\n 344→ jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n 345→\n 346→ scopedJobStats(\n 347→ id: ID!\n 348→ metrics: [String!]\n 349→ scopes: [MetricScope!]\n 350→ ): [NamedStatsWithScope!]!\n 351→\n 352→ jobs(\n 353→ filter: [JobFilter!]\n 354→ page: PageRequest\n 355→ order: OrderByInput\n 356→ ): JobResultList!\n 357→\n 358→ jobsStatistics(\n 359→ filter: [JobFilter!]\n 360→ metrics: [String!]\n 361→ page: PageRequest\n 362→ sortBy: SortByAggregate\n 363→ groupBy: Aggregate\n 364→ numDurationBins: String\n 365→ numMetricBins: Int\n 366→ ): [JobsStatistics!]!\n 367→\n 368→ jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n 369→ jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n 370→\n 371→ rooflineHeatmap(\n 372→ filter: [JobFilter!]!\n 373→ rows: Int!\n 374→ cols: Int!\n 375→ minX: Float!\n 376→ minY: Float!\n 377→ maxX: Float!\n 378→ maxY: Float!\n 379→ ): [[Float!]!]!\n 380→\n 381→ nodeMetrics(\n 382→ cluster: String!\n 383→ nodes: [String!]\n 384→ scopes: [MetricScope!]\n 385→ metrics: [String!]\n 386→ from: Time!\n 387→ to: Time!\n 388→ ): [NodeMetrics!]!\n 389→\n 390→ nodeMetricsList(\n 391→ cluster: String!\n 392→ subCluster: String!\n 393→ stateFilter: String!\n 394→ nodeFilter: String!\n 395→ scopes: [MetricScope!]\n 396→ metrics: [String!]\n 397→ from: Time!\n 398→ to: Time!\n 399→ page: PageRequest\n 400→ resolution: Int\n 401→ ): NodesResultList!\n 402→\n 403→ clusterMetrics(\n 404→ cluster: String!\n 405→ metrics: [String!]\n 406→ from: Time!\n 407→ to: Time!\n 408→ ): ClusterMetrics!\n 409→}\n 410→\n 411→type Mutation {\n 412→ createTag(type: String!, name: String!, scope: String!): Tag!\n 413→ deleteTag(id: ID!): ID!\n 414→ addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n 415→ removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n 416→ removeTagFromList(tagIds: [ID!]!): [Int!]!\n 417→\n 418→ updateConfiguration(name: String!, value: String!): String\n 419→}\n 420→\n 421→type IntRangeOutput {\n 422→ from: Int!\n 423→ to: Int!\n 424→}\n 425→type TimeRangeOutput {\n 426→ range: String\n 427→ from: Time!\n 428→ to: Time!\n 429→}\n 430→\n 431→input NodeFilter {\n 432→ hostname: StringInput\n 433→ cluster: StringInput\n 434→ subCluster: StringInput\n 435→ schedulerState: SchedulerState\n 436→ healthState: MonitoringState\n 437→ timeStart: Int\n 438→}\n 439→\n 440→input JobFilter {\n 441→ tags: [ID!]\n 442→ dbId: [ID!]\n 443→ jobId: StringInput\n 444→ arrayJobId: Int\n 445→ user: StringInput\n 446→ project: StringInput\n 447→ jobName: StringInput\n 448→ cluster: StringInput\n 449→ subCluster: StringInput\n 450→ partition: StringInput\n 451→ duration: IntRange\n 452→ energy: FloatRange\n 453→\n 454→ minRunningFor: Int\n 455→\n 456→ numNodes: IntRange\n 457→ numAccelerators: IntRange\n 458→ numHWThreads: IntRange\n 459→\n 460→ startTime: TimeRange\n 461→ state: [JobState!]\n 462→ metricStats: [MetricStatItem!]\n 463→ shared: String\n 464→ schedule: String\n 465→ node: StringInput\n 466→}\n 467→\n 468→input OrderByInput {\n 469→ field: String!\n 470→ type: String!\n 471→ order: SortDirectionEnum! = ASC\n 472→}\n 473→\n 474→enum SortDirectionEnum {\n 475→ DESC\n 476→ ASC\n 477→}\n 478→\n 479→input StringInput {\n 480→ eq: String\n 481→ neq: String\n 482→ contains: String\n 483→ startsWith: String\n 484→ endsWith: String\n 485→ in: [String!]\n 486→}\n 487→\n 488→input IntRange {\n 489→ from: Int!\n 490→ to: Int!\n 491→}\n 492→input TimeRange {\n 493→ range: String\n 494→ from: Time\n 495→ to: Time\n 496→}\n 497→\n 498→input FloatRange {\n 499→ from: Float!\n 500→ to: Float!\n 501→}\n 502→\n 503→type NodeStateResultList {\n 504→ items: [Node!]!\n 505→ count: Int\n 506→}\n 507→\n 508→type JobResultList {\n 509→ items: [Job!]!\n 510→ offset: Int\n 511→ limit: Int\n 512→ count: Int\n 513→ hasNextPage: Boolean\n 514→}\n 515→\n 516→type JobLinkResultList {\n 517→ listQuery: String\n 518→ items: [JobLink!]!\n 519→ count: Int\n 520→}\n 521→\n 522→type HistoPoint {\n 523→ count: Int!\n 524→ value: Int!\n 525→}\n 526→\n 527→type MetricHistoPoints {\n 528→ metric: String!\n 529→ unit: String!\n 530→ stat: String\n 531→ data: [MetricHistoPoint!]\n 532→}\n 533→\n 534→type MetricHistoPoint {\n 535→ bin: Int\n 536→ count: Int!\n 537→ min: Int\n 538→ max: Int\n 539→}\n 540→\n 541→type JobsStatistics {\n 542→ id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n 543→ name: String! # if User-Statistics: Given Name of Account (ID) Owner\n 544→ totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n 545→ totalJobs: Int! # Number of jobs\n 546→ runningJobs: Int! # Number of running jobs\n 547→ shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n 548→ totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n 549→ totalNodes: Int! # Sum of the nodes of all matched jobs\n 550→ totalNodeHours: Int! # Sum of the node hours of all matched jobs\n 551→ totalCores: Int! # Sum of the cores of all matched jobs\n 552→ totalCoreHours: Int! # Sum of the core hours of all matched jobs\n 553→ totalAccs: Int! # Sum of the accs of all matched jobs\n 554→ totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n 555→ histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n 556→ histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n 557→ histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n 558→ histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n 559→ histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n 560→}\n 561→\n 562→input PageRequest {\n 563→ itemsPerPage: Int!\n 564→ page: Int!\n 565→}\n 566→"}]},"uuid":"3c5015b7-1d35-4a55-b5c3-ba16b0e57a45","timestamp":"2026-03-12T11:45:16.017Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"c1b33d3e-8a0e-48b8-958b-f0dca7290b06","timestamp":"2026-03-12T11:45:16.019Z"} 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+{"parentUuid":"fde380bb-2589-48ed-8e83-1fee0a8473cd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U6TJ6oa9echF7j5ULHBD3q","type":"tool_result","content":"641-\t}\n642-\n643-\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n644-}\n645-\n646:// JobsStatistics is the resolver for the jobsStatistics field.\n647:func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n648-\tstartOverall := time.Now()\n649-\tvar err error\n650:\tvar stats []*model.JobsStatistics\n651-\n652-\t// Top Level Defaults\n653-\tdefaultDurationBins := \"1h\"\n654-\tdefaultMetricBins := 10\n655-\n--\n674-\t\t\tstartGrouped := time.Now()\n675-\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n676-\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n677-\t\t}\n678-\t} else {\n679:\t\tstats = make([]*model.JobsStatistics, 0, 1)\n680:\t\tstats = append(stats, &model.JobsStatistics{})\n681-\t}\n682-\n683-\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n684-\t// Only run separate count queries if main stats were not fetched.\n685-\tif !fetchedMainStats {\n--\n734-\t\t} else {\n735-\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n736-\t\t}\n737-\t}\n738-\n739:\tcclog.Infof(\"Timer JobsStatistics overall: %s\", time.Since(startOverall))\n740-\treturn stats, nil\n741-}\n742-\n743-// JobsMetricStats is the resolver for the jobsMetricStats field.\n744-func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\n[Showing results with pagination = limit: 50, offset: 0]"}]},"uuid":"58fada81-9554-42ac-98b4-f2800480ef6f","timestamp":"2026-03-12T11:45:18.409Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"5b9d902c-1d33-4b8a-9751-c6b4558bbdbd","timestamp":"2026-03-12T11:45:18.412Z"} 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+{"parentUuid":"7601a494-c78e-4bc7-97ed-296942727105","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VMLg9Chu7DYBoqTJxHbDHA","type":"tool_result","content":" 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tstartOverall := time.Now()\n 649→\tvar err error\n 650→\tvar stats []*model.JobsStatistics\n 651→\n 652→\t// Top Level Defaults\n 653→\tdefaultDurationBins := \"1h\"\n 654→\tdefaultMetricBins := 10\n 655→\n 656→\t// Build requested fields map for selective column computation\n 657→\tstatsFields := []string{\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n 658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\"}\n 659→\treqFields := make(map[string]bool, len(statsFields))\n 660→\tfetchedMainStats := false\n 661→\tfor _, f := range statsFields {\n 662→\t\tif requireField(ctx, f) {\n 663→\t\t\treqFields[f] = true\n 664→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n 665→\t\t\t\tfetchedMainStats = true\n 666→\t\t\t}\n 667→\t\t}\n 668→\t}\n 669→\n 670→\tif fetchedMainStats {\n 671→\t\tif groupBy == nil {\n 672→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 673→\t\t} else {\n 674→\t\t\tstartGrouped := time.Now()\n 675→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 676→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 677→\t\t}\n 678→\t} else {\n 679→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 680→\t\tstats = append(stats, &model.JobsStatistics{})\n 681→\t}\n 682→\n 683→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 684→\t// Only run separate count queries if main stats were not fetched.\n 685→\tif !fetchedMainStats {\n 686→\t\tif groupBy != nil {\n 687→\t\t\tif requireField(ctx, \"shortJobs\") {\n 688→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 689→\t\t\t}\n 690→\t\t\tif requireField(ctx, \"runningJobs\") {\n 691→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 692→\t\t\t}\n 693→\t\t} else {\n 694→\t\t\tif requireField(ctx, \"shortJobs\") {\n 695→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 696→\t\t\t}\n 697→\t\t\tif requireField(ctx, \"runningJobs\") {\n 698→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 699→\t\t\t}\n 700→\t\t}\n 701→\t}\n 702→\n 703→\tif err != nil {\n 704→\t\treturn nil, err\n 705→\t}\n 706→\n 707→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 708→\n 709→\t\tif numDurationBins == nil {\n 710→\t\t\tnumDurationBins = &defaultDurationBins\n 711→\t\t}\n 712→\n 713→\t\tif groupBy == nil {\n 714→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 715→\t\t\tif err != nil {\n 716→\t\t\t\treturn nil, err\n 717→\t\t\t}\n 718→\t\t} else {\n 719→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 720→\t\t}\n 721→\t}\n 722→\n 723→\tif requireField(ctx, \"histMetrics\") {\n 724→\n 725→\t\tif numMetricBins == nil {\n 726→\t\t\tnumMetricBins = &defaultMetricBins\n 727→\t\t}\n 728→\n 729→\t\tif groupBy == nil {\n 730→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 731→\t\t\tif err != nil {\n 732→\t\t\t\treturn nil, err\n 733→\t\t\t}\n 734→\t\t} else {\n 735→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 736→\t\t}\n 737→\t}\n 738→\n 739→\tcclog.Infof(\"Timer JobsStatistics overall: %s\", time.Since(startOverall))\n 740→\treturn stats, nil\n 741→}\n 742→\n 743→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 744→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 745→\t// No Paging, Fixed Order by StartTime ASC\n 746→\torder := &model.OrderByInput{\n 747→\t\tField: \"startTime\",\n 748→\t\tType: \"col\",\n 749→\t\tOrder: \"ASC\",\n 750→\t}\n 751→\n 752→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 753→\tif err != nil {\n 754→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 755→\t\treturn nil, err\n 756→\t}\n 757→\n 758→\tres := []*model.JobStats{}\n 759→\tfor _, job := range jobs {\n 760→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 761→\t\tif err != nil {\n 762→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n 763→\t\t\tcontinue\n 764→\t\t\t// return nil, err\n 765→\t\t}\n 766→\n 767→\t\tsres := []*model.NamedStats{}\n 768→\t\tfor name, md := range data {\n 769→\t\t\tsres = append(sres, &model.NamedStats{\n 770→\t\t\t\tName: name,\n 771→\t\t\t\tData: &md,\n 772→\t\t\t})\n 773→\t\t}\n 774→\n 775→\t\tnumThreadsInt := int(job.NumHWThreads)\n 776→\t\tnumAccsInt := int(job.NumAcc)\n 777→\t\tres = append(res, &model.JobStats{\n 778→\t\t\tID: int(*job.ID),\n 779→\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n 780→\t\t\tStartTime: int(job.StartTime),\n 781→\t\t\tDuration: int(job.Duration),\n 782→\t\t\tCluster: job.Cluster,\n 783→\t\t\tSubCluster: job.SubCluster,\n 784→\t\t\tNumNodes: int(job.NumNodes),\n 785→\t\t\tNumHWThreads: &numThreadsInt,\n 786→\t\t\tNumAccelerators: &numAccsInt,\n 787→\t\t\tStats: sres,\n 788→\t\t})\n 789→\t}\n 790→\treturn res, err\n 791→}\n 792→\n 793→// JobsFootprints is the resolver for the jobsFootprints field.\n 794→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 795→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!"}]},"uuid":"14ac14c8-e2e1-4c61-904a-aa687f11ad67","timestamp":"2026-03-12T11:45:19.604Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"2ff61d98-d607-45b9-908a-a52e22e94d02","timestamp":"2026-03-12T11:45:19.616Z"} +{"parentUuid":"2ff61d98-d607-45b9-908a-a52e22e94d02","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:25.660Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013B5WyceVnrmAnmjDz69sBE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013yoYzR49cdhwYJZnWhj8NH","name":"Grep","input":{"pattern":"JobsStatsGrouped|buildStatsQuery","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","output_mode":"content","context":10,"head_limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":2575,"cache_read_input_tokens":36752,"cache_creation":{"ephemeral_5m_input_tokens":2575,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8TozKiN1rwvgNgFnGT","uuid":"52293bc4-c507-46c3-80bf-2d57bbc002ee"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"1b6d2fd8-072c-414d-9543-6f92aa090a2b","timestamp":"2026-03-12T11:45:25.660Z"} +{"parentUuid":"1b6d2fd8-072c-414d-9543-6f92aa090a2b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yoYzR49cdhwYJZnWhj8NH","type":"tool_result","content":"3-// Use of this source code is governed by a MIT-style\n4-// license that can be found in the LICENSE file.\n5-\n6-// This file contains job statistics and histogram generation functionality for the JobRepository.\n7-//\n8-// # Job Statistics\n9-//\n10-// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n11-/ walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n12-/ - Overall (JobsStats): Single aggregate across all matching jobs\n13:// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n14-/ - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n15-//\n16-// All statistics methods support filtering via JobFilter and respect security contexts.\n17-//\n18-// # Histograms\n19-//\n20-/ Histogram methods generate distribution data for visualization:\n21-// - Duration, nodes, cores, accelerators (AddHistograms)\n22-// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n23-//\n--\n51-\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n52-\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n53-\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n54-\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n55-\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n56-\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n57-\tsq \"github.com/Masterminds/squirrel\"\n58-)\n59-\n60-// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n61:// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n62-// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n63-var groupBy2column = map[model.Aggregate]string{\n64-\tmodel.AggregateUser: \"job.hpc_user\",\n65-\tmodel.AggregateProject: \"job.project\",\n66-\tmodel.AggregateCluster: \"job.cluster\",\n67-\tmodel.AggregateSubcluster: \"job.subcluster\",\n68-}\n69-\n70-// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n71:// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n72:// Column names match the AS aliases used in buildStatsQuery.\n73-var sortBy2column = map[model.SortByAggregate]string{\n74-\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n75-\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n76-\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n77-\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n78-\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n79-\tmodel.SortByAggregateTotalcores: \"totalCores\",\n80-\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n81-\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n82-\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n--\n117-\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n118-\t}\n119-\n120-\tfor _, f := range filter {\n121-\t\tquery = BuildWhereClause(f, query)\n122-\t}\n123-\n124-\treturn query\n125-}\n126-\n127:// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n128-// Only requested columns are computed; unrequested columns select 0 as placeholder.\n129-//\n130-/ Parameters:\n131-/ - filter: Job filters to apply (cluster, user, time range, etc.)\n132-/ - col: Column name to GROUP BY; empty string for overall statistics without grouping\n133-/ - shortThreshold: Duration threshold in seconds for counting short-running jobs\n134-/ - reqFields: Set of requested field names; nil means compute all fields\n135:func (r *JobRepository) buildStatsQuery(\n136-\tfilter []*model.JobFilter,\n137-\tcol string,\n138-\tshortThreshold int,\n139-\treqFields map[string]bool,\n140-) sq.SelectBuilder {\n141-\tnow := time.Now().Unix()\n142-\n143-\t/ Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n144-\tneed := func(field string) bool {\n145-\t\treturn reqFields == nil || reqFields[field]\n--\n220-\t\tquery = query.GroupBy(col)\n221-\t}\n222-\n223-\tfor _, f := range filter {\n224-\t\tquery = BuildWhereClause(f, query)\n225-\t}\n226-\n227-\treturn query\n228-}\n229-\n230:// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n231-// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n232-// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n233:func (r *JobRepository) JobsStatsGrouped(\n234-\tctx context.Context,\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"211748f5-b2e5-47b4-b446-898153fe6229","timestamp":"2026-03-12T11:45:25.692Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"4738e703-158e-48e4-8443-ae1b54dca9de","timestamp":"2026-03-12T11:45:25.693Z"} +{"parentUuid":"4738e703-158e-48e4-8443-ae1b54dca9de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:27.069Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_015s8nTCgioyMSzUYyAkU1bG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017QcpFJyqpkQMd8jAhx3365","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","offset":230,"limit":250},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1806,"cache_read_input_tokens":39327,"cache_creation":{"ephemeral_5m_input_tokens":1806,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8UFzFxvNZGv8uPBhY5","uuid":"1958924e-7320-47d3-b446-e7b6941ac144"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"9e241730-5c43-4ed7-8b3e-104ea5a60530","timestamp":"2026-03-12T11:45:27.070Z"} +{"parentUuid":"9e241730-5c43-4ed7-8b3e-104ea5a60530","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017QcpFJyqpkQMd8jAhx3365","type":"tool_result","content":" 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tstart := time.Now()\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→\treqFields map[string]bool,\n 351→) ([]*model.JobsStatistics, error) {\n 352→\tstart := time.Now()\n 353→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 354→\tquery, err := SecurityCheck(ctx, query)\n 355→\tif err != nil {\n 356→\t\treturn nil, err\n 357→\t}\n 358→\n 359→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 360→\tstats := make([]*model.JobsStatistics, 0, 1)\n 361→\n 362→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 363→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 364→\t\tcclog.Warn(\"Error while scanning rows\")\n 365→\t\treturn nil, err\n 366→\t}\n 367→\n 368→\tif jobs.Valid {\n 369→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 370→\n 371→\t\tif nodeHours.Valid {\n 372→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 373→\t\t}\n 374→\t\tif coreHours.Valid {\n 375→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 376→\t\t}\n 377→\t\tif accHours.Valid {\n 378→\t\t\ttotalAccHours = int(accHours.Int64)\n 379→\t\t}\n 380→\t\tstats = append(stats,\n 381→\t\t\t&model.JobsStatistics{\n 382→\t\t\t\tTotalJobs: int(jobs.Int64),\n 383→\t\t\t\tTotalUsers: int(users.Int64),\n 384→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 385→\t\t\t\tTotalNodeHours: totalNodeHours,\n 386→\t\t\t\tTotalCoreHours: totalCoreHours,\n 387→\t\t\t\tTotalAccHours: totalAccHours,\n 388→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 389→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 390→\t\t\t})\n 391→\t}\n 392→\n 393→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 394→\treturn stats, nil\n 395→}\n 396→\n 397→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 398→// Returns 0.0 if the metric is not found or statType is invalid.\n 399→//\n 400→// Parameters:\n 401→// - job: Job struct with populated Statistics field\n 402→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 403→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 404→//\n 405→// Returns the requested statistic value or 0.0 if not found.\n 406→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 407→\tif stats, ok := job.Statistics[metric]; ok {\n 408→\t\tswitch statType {\n 409→\t\tcase \"avg\":\n 410→\t\t\treturn stats.Avg\n 411→\t\tcase \"max\":\n 412→\t\t\treturn stats.Max\n 413→\t\tcase \"min\":\n 414→\t\t\treturn stats.Min\n 415→\t\tdefault:\n 416→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 417→\t\t}\n 418→\t}\n 419→\n 420→\treturn 0.0\n 421→}\n 422→\n 423→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 424→//\n 425→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 426→// avoiding the overhead of calculating walltime and resource usage metrics.\n 427→//\n 428→// Parameters:\n 429→// - ctx: Context for security checks\n 430→// - filter: Filters to apply\n 431→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 432→//\n 433→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 434→func (r *JobRepository) JobCountGrouped(\n 435→\tctx context.Context,\n 436→\tfilter []*model.JobFilter,\n 437→\tgroupBy *model.Aggregate,\n 438→) ([]*model.JobsStatistics, error) {\n 439→\tstart := time.Now()\n 440→\tcol := groupBy2column[*groupBy]\n 441→\tquery := r.buildCountQuery(filter, \"\", col)\n 442→\tquery, err := SecurityCheck(ctx, query)\n 443→\tif err != nil {\n 444→\t\treturn nil, err\n 445→\t}\n 446→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 447→\tif err != nil {\n 448→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 449→\t\treturn nil, err\n 450→\t}\n 451→\tdefer rows.Close()\n 452→\n 453→\tstats := make([]*model.JobsStatistics, 0, 100)\n 454→\n 455→\tfor rows.Next() {\n 456→\t\tvar id sql.NullString\n 457→\t\tvar cnt sql.NullInt64\n 458→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 459→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 460→\t\t\treturn nil, err\n 461→\t\t}\n 462→\t\tif id.Valid {\n 463→\t\t\tstats = append(stats,\n 464→\t\t\t\t&model.JobsStatistics{\n 465→\t\t\t\t\tID: id.String,\n 466→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 467→\t\t\t\t})\n 468→\t\t}\n 469→\t}\n 470→\n 471→\tif err := rows.Err(); err != nil {\n 472→\t\treturn nil, err\n 473→\t}\n 474→\n 475→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 476→\treturn stats, nil\n 477→}\n 478→\n 479→// AddJobCountGrouped augments existing statistics with additional job counts by category."}]},"uuid":"578fac42-1480-49c1-b037-f40b02b0ead0","timestamp":"2026-03-12T11:45:27.082Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6b453d10-a1ff-4bbf-9f67-4f0772bf5733","timestamp":"2026-03-12T11:45:27.084Z"} 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+{"parentUuid":"e18e24fe-c885-4680-bf59-b260c01ccb3e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NFck9m5JM4XWuB2mm8Z1ZN","type":"tool_result","content":" 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}"}]},"uuid":"bec19ab1-1059-4697-ab9c-9d49d3d969fe","timestamp":"2026-03-12T11:45:29.954Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6c7b44c8-5ea8-4199-b1bc-b82034e9cd2f","timestamp":"2026-03-12T11:45:30.050Z"} 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+{"parentUuid":"f3fa7c7d-a1e8-474f-8f6f-66d8c8c861e8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Unj1PpKLiktDuVyofXtvDR","type":"tool_result","content":"Found 1 file\ninternal/repository/jobQuery.go"}]},"uuid":"6273b275-d1c6-472c-a87f-82f918b6ed83","timestamp":"2026-03-12T11:45:31.678Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"e74a703f-c95d-4e94-816d-da799873194e","timestamp":"2026-03-12T11:45:31.679Z"} 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+{"parentUuid":"827237db-37fd-4d34-8402-378d570f3aac","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Nm6sCyu2HqzHosmJ1viUqU","type":"tool_result","content":"132-\n133-\treturn count, nil\n134-}\n135-\n136-// SecurityCheckWithUser applies role-based access control filters to a job query\n137-// based on the provided user's roles and permissions.\n138-//\n139-/ Access rules by role:\n140-/ - API role (exclusive): Full access to all jobs\n141-/ - Admin/Support roles: Full access to all jobs\n142-/ - Manager role: Access to jobs in managed projects plus own jobs\n143-/ - User role: Access only to own jobs\n144-//\n145-// Returns an error if the user is nil or has no recognized roles.\n146-func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n147-\tif user == nil {\n148-\t\tvar qnil sq.SelectBuilder\n149-\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n150-\t}\n151-\n152-\tswitch {\n153-\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n154-\t\treturn query, nil\n155-\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n156-\t\treturn query, nil\n157-\tcase user.HasRole(schema.RoleManager):\n158-\t\tif len(user.Projects) != 0 {\n159-\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n160-\t\t}\n161-\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n162-\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n163-\tcase user.HasRole(schema.RoleUser):\n164-\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n165-\tdefault:\n166-\t\tvar qnil sq.SelectBuilder\n167-\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n168-\t}\n169-}\n170-\n171-// SecurityCheck extracts the user from the context and applies role-based access\n172-// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n173-func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n174-\tuser := GetUserFromContext(ctx)\n175-\treturn SecurityCheckWithUser(user, query)\n176-}\n177-\n178-// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n179-// them to the query. Supports filtering by job properties (cluster, state, user),\n180-// time ranges, resource usage, tags, and JSON field searches in meta_data,\n181-// footprint, and resources columns.\n182:func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n183-\t// Primary Key\n184-\tif filter.DbID != nil {\n185-\t\tdbIDs := make([]string, len(filter.DbID))\n186-\t\tcopy(dbIDs, filter.DbID)\n187-\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n188-\t}\n189-\t// Explicit indices\n190-\tif filter.Cluster != nil {\n191-\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n192-\t}\n193-\tif filter.SubCluster != nil {\n194-\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n195-\t}\n196-\tif filter.Partition != nil {\n197-\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n198-\t}\n199-\tif filter.State != nil {\n200-\t\tstates := make([]string, len(filter.State))\n201-\t\tfor i, val := range filter.State {\n202-\t\t\tstates[i] = string(val)\n203-\t\t}\n204-\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n205-\t}\n206-\tif filter.Shared != nil {\n207-\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n208-\t}\n209-\tif filter.Project != nil {\n210-\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n211-\t}\n212-\tif filter.User != nil {\n213-\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n214-\t}\n215-\tif filter.NumNodes != nil {\n216-\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n217-\t}\n218-\tif filter.NumAccelerators != nil {\n219-\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n220-\t}\n221-\tif filter.NumHWThreads != nil {\n222-\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n223-\t}\n224-\tif filter.ArrayJobID != nil {\n225-\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n226-\t}\n227-\tif filter.StartTime != nil {\n228-\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n229-\t}\n230-\tif filter.Duration != nil {\n231-\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n232-\t}"}]},"uuid":"27be81ff-d3db-455c-8606-bfcdd159eff3","timestamp":"2026-03-12T11:45:32.917Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"43ad5e4e-af5d-4e63-8596-be020ca70e74","timestamp":"2026-03-12T11:45:32.918Z"} +{"parentUuid":"43ad5e4e-af5d-4e63-8596-be020ca70e74","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:34.537Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HBo1DZsQLdm4f6fjgEGEMF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EjgCDPWyV5tZPTwLnPetc4","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","offset":178,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1591,"cache_read_input_tokens":46847,"cache_creation":{"ephemeral_5m_input_tokens":1591,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8UntsZMqmeJcnT4WYX","uuid":"a3643d63-4d7e-4434-9ac5-b840412f7cb4"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"61096e11-2932-411d-ac2c-d43b73532791","timestamp":"2026-03-12T11:45:34.538Z"} +{"parentUuid":"61096e11-2932-411d-ac2c-d43b73532791","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EjgCDPWyV5tZPTwLnPetc4","type":"tool_result","content":" 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:"}]},"uuid":"9e865ff5-0dfc-459c-9823-055bf7a91f7e","timestamp":"2026-03-12T11:45:34.544Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"de69279a-c0a6-4710-92da-4be03bd9d325","timestamp":"2026-03-12T11:45:34.567Z"} 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kept automatically\n 10→-- ============================================================\n 11→\n 12→-- Cluster+Partition Filter Sorting\n 13→DROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\n 14→DROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\n 15→DROP INDEX IF EXISTS jobs_cluster_partition_numacc;\n 16→DROP INDEX IF EXISTS jobs_cluster_partition_energy;\n 17→\n 18→-- Cluster+JobState Filter Sorting\n 19→DROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes;\n 20→DROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads;\n 21→DROP INDEX IF EXISTS jobs_cluster_jobstate_numacc;\n 22→DROP INDEX IF EXISTS jobs_cluster_jobstate_energy;\n 23→\n 24→-- Cluster+Shared Filter Sorting\n 25→DROP INDEX IF EXISTS jobs_cluster_shared_numnodes;\n 26→DROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads;\n 27→DROP INDEX IF EXISTS jobs_cluster_shared_numacc;\n 28→DROP INDEX IF EXISTS jobs_cluster_shared_energy;\n 29→\n 30→-- User Filter Sorting\n 31→DROP INDEX IF EXISTS jobs_user_numnodes;\n 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NOT NULL\n 18→ CHECK (node_state IN (\n 19→ 'allocated', 'reserved', 'idle', 'mixed',\n 20→ 'down', 'unknown'\n 21→ )),\n 22→ health_state VARCHAR(255) NOT NULL\n 23→ CHECK (health_state IN (\n 24→ 'full', 'partial', 'failed'\n 25→ )),\n 26→ health_metrics TEXT, -- JSON array of strings\n 27→ node_id INTEGER,\n 28→ FOREIGN KEY (node_id) REFERENCES node (id)\n 29→);\n 30→\n 31→-- Add NEW Indices For New Node Table VARCHAR Fields\n 32→CREATE INDEX IF NOT EXISTS nodes_cluster ON node (cluster);\n 33→CREATE INDEX IF NOT EXISTS nodes_cluster_subcluster ON node (cluster, subcluster);\n 34→\n 35→-- Add NEW Indices For New Node_State Table Fields\n 36→CREATE INDEX IF NOT EXISTS nodestates_timestamp ON node_state (time_stamp);\n 37→CREATE INDEX IF NOT EXISTS nodestates_state_timestamp ON node_state (node_state, time_stamp);\n 38→CREATE INDEX IF NOT EXISTS nodestates_health_timestamp ON node_state (health_state, time_stamp);\n 39→CREATE INDEX IF NOT EXISTS nodestates_nodeid_state ON node_state (node_id, node_state);\n 40→CREATE INDEX IF NOT EXISTS nodestates_nodeid_health ON node_state (node_id, health_state);\n 41→CREATE INDEX IF NOT EXISTS nodestates_nodeid_timestamp ON node_state (node_id, time_stamp DESC);\n 42→\n 43→-- Add NEW Indices For Increased Amounts of Tags\n 44→CREATE INDEX IF NOT EXISTS tags_jobid ON jobtag (job_id);\n 45→CREATE INDEX IF NOT EXISTS tags_tagid ON jobtag (tag_id);\n 46→\n 47→-- Optimize DB index usage\n 48→PRAGMA optimize;"}]},"uuid":"a568daa4-3cf9-40d0-a9a1-d288c928539e","timestamp":"2026-03-12T11:45:40.765Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"d0bd6446-6184-40ad-b1df-d9bdcbd86fea","timestamp":"2026-03-12T11:45:40.768Z"} 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TEXT NOT NULL DEFAULT 'global';\n 15→\n 16→-- Do not use reserved keywords anymore\n 17→ALTER TABLE \"user\" RENAME TO hpc_user;\n 18→ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n 19→ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n 20→\n 21→UPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\n 22→UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\n 23→UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\n 24→UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\n 25→UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\n 26→UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\n 27→UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\n 28→UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\n 29→UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n 30→\n 31→ALTER TABLE job DROP flops_any_avg;\n 32→ALTER TABLE job DROP mem_bw_avg;\n 33→ALTER TABLE job DROP mem_used_max;\n 34→ALTER TABLE job DROP load_avg;\n 35→ALTER TABLE job DROP net_bw_avg;\n 36→ALTER TABLE job DROP net_data_vol_total;\n 37→ALTER TABLE job DROP file_bw_avg;\n 38→ALTER TABLE job DROP file_data_vol_total;\n 39→\n 40→-- Indices for: Single filters, combined filters, sorting, sorting with filters\n 41→-- Cluster Filter\n 42→CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\n 43→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 44→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 45→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 46→-- Cluster Filter Sorting\n 47→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\n 48→CREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\n 49→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 51→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 52→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 53→\n 54→-- Cluster+Partition Filter\n 55→CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n 56→-- Cluster+Partition Filter Sorting\n 57→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n 58→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n 59→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 60→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 61→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 62→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 63→\n 64→-- Cluster+Partition+Jobstate Filter\n 65→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n 67→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n 68→-- Cluster+Partition+Jobstate Filter Sorting\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n 70→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n 71→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n 72→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n 73→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n 74→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n 75→\n 76→-- Cluster+JobState Filter\n 77→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\n 78→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 79→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 80→-- Cluster+JobState Filter Sorting\n 81→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\n 83→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 84→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 86→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 87→\n 88→-- User Filter\n 89→CREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n 90→-- User Filter Sorting\n 91→CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\n 92→CREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\n 93→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 94→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 95→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 96→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 97→\n 98→-- Project Filter\n 99→CREATE INDEX IF NOT EXISTS jobs_project ON job (project);\n 100→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 101→-- Project Filter Sorting\n 102→CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\n 103→CREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\n 104→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 105→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 106→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 107→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 108→\n 109→-- JobState Filter\n 110→CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\n 111→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 112→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 113→CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n 114→-- JobState Filter Sorting\n 115→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\n 116→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\n 117→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 118→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 119→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 120→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 121→\n 122→-- ArrayJob Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 125→\n 126→-- Sorting without active filters\n 127→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 128→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 129→CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\n 130→CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\n 131→CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\n 132→CREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n 133→\n 134→-- Single filters with default starttime sorting\n 135→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 136→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 137→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 138→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 139→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 140→\n 141→-- Optimize DB index usage\n 142→PRAGMA optimize;\n 143→"}]},"uuid":"2207b0c1-61a8-4558-a958-604915153cb9","timestamp":"2026-03-12T11:45:44.600Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"966a447e-a444-4315-8391-3baefad6453e","timestamp":"2026-03-12T11:45:44.608Z"} 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duration);\n59:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n60:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n61:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n62:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n65:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n66:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n67:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n69:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n70:CREATE INDEX IF NOT EXISTS 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InfoType { i[\"listType\"] = \"USER\"; return i }},\n42-\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n43-\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n44:\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User - ClusterCockpit\", true, setupUserRoute},\n45-\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n46-\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster Node List - ClusterCockpit\", false, setupClusterListRoute},\n47-\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster Node List - ClusterCockpit\", false, setupClusterListRoute},\n48-\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node - ClusterCockpit\", false, setupNodeRoute},\n49-\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n--\n538-\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n539-\n540-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) / All Users: Redirect to Tablequery\n541-\t\t\tcase \"username\":\n542-\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n543:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n544-\t\t\t\t} else {\n545-\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n546-\t\t\t\t}\n547-\t\t\tcase \"name\":\n548-\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n549-\t\t\t\tif len(usernames) != 0 {\n550-\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n551:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n552-\t\t\t\t} else {\n553-\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n554:\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n555-\t\t\t\t\t} else {\n556-\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n557-\t\t\t\t\t}\n558-\t\t\t\t}\n559-\t\t\tdefault:\n--\n564-\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n565-\n566-\t\t\tif jobid != \"\" {\n567-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n568-\t\t\t} else if username != \"\" {\n569:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n570-\t\t\t} else if project != \"\" {\n571-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n572-\t\t\t} else if jobname != \"\" {\n573-\t\t\t\t// Add Last 30 Days to migitate timeouts\n574-\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)"}]},"uuid":"221cd2eb-c418-41d4-831f-487d91ca4185","timestamp":"2026-03-12T11:45:48.708Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"a1c5d749-fc2b-4fed-94cb-cf75e9b26c42","timestamp":"2026-03-12T11:45:48.709Z"} +{"parentUuid":"a1c5d749-fc2b-4fed-94cb-cf75e9b26c42","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:50.346Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Czkif3Xe3Nbez3v96q3vdT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzT4kLyRtusThb9NVn8YfV","name":"Bash","input":{"command":"find /Users/jan/prg/ClusterCockpit/cc-backend/web -name \"list.tmpl\" -o -name \"monitoring.root.svelte\" 2>/dev/null | head -5"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1593,"cache_read_input_tokens":59648,"cache_creation":{"ephemeral_5m_input_tokens":1593,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8VxRdcwMhmxQJ9FyV6","uuid":"9dd5410f-bc18-42c2-a0a7-5fbcdf0f8acb"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"c38a2c8e-8f72-4ab9-9b7e-d59b644abb90","timestamp":"2026-03-12T11:45:50.346Z"} 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\n 3→{{end}}\n 4→\n 5→{{define \"stylesheets\"}}\n 6→ \n 7→{{end}}\n 8→{{define \"javascript\"}}\n 9→ \n 14→ \n 15→{{end}}\n 16→"}]},"uuid":"0d261087-3e68-448f-adac-05160a3b2d36","timestamp":"2026-03-12T11:45:54.379Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6fe1854a-31f9-4820-8708-284c0d688c75","timestamp":"2026-03-12T11:45:54.390Z"} +{"parentUuid":"6fe1854a-31f9-4820-8708-284c0d688c75","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:55.994Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Gu8tps1eWYVGr81u9rwmiz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012eG73AVRX3rLMGVVqfRda1","name":"Bash","input":{"command":"grep -n \"FilterPresets\\|setupListRoute\\|monitoring/list\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":311,"cache_read_input_tokens":61678,"cache_creation":{"ephemeral_5m_input_tokens":311,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WNg9aotmJoSJebqcF","uuid":"2fc93a04-ce1e-4e33-845b-a047802455ef"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"827bcd41-4ad6-4e3c-a314-e1adcdbb673a","timestamp":"2026-03-12T11:45:55.995Z"} +{"parentUuid":"827bcd41-4ad6-4e3c-a314-e1adcdbb673a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012eG73AVRX3rLMGVVqfRda1","type":"tool_result","content":"41:\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n42:\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n235:func buildFilterPresets(query url.Values) map[string]any {\n507:\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())","is_error":false}]},"uuid":"d342b42a-a48d-4e01-95d5-75013cc5ea95","timestamp":"2026-03-12T11:45:56.030Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"51f892f1-9c2b-4e6c-8dec-a7a047790c47","timestamp":"2026-03-12T11:45:56.031Z"} +{"parentUuid":"51f892f1-9c2b-4e6c-8dec-a7a047790c47","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:57.860Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011v8yvhWFGfS3vUmuShKw9r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018chEozHHx37kWsMnzhYz5o","name":"Grep","input":{"pattern":"func buildFilterPresets","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","context":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":334,"cache_read_input_tokens":61989,"cache_creation":{"ephemeral_5m_input_tokens":334,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WVfqb2cTKMQVeK4WG","uuid":"685a02e4-9be3-4315-aa7f-fe445c759c54"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f30f6d21-927b-4020-90b6-84a8ee42557e","timestamp":"2026-03-12T11:45:57.861Z"} +{"parentUuid":"f30f6d21-927b-4020-90b6-84a8ee42557e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018chEozHHx37kWsMnzhYz5o","type":"tool_result","content":"205-\tif userAuthlevel >= 4 { / Support+ : Show tags for all scopes, regardless of count\n206-\t\tfor _, tag := range tags {\n207-\t\t\ttagItem := map[string]any{\n208-\t\t\t\t\"id\": tag.ID,\n209-\t\t\t\t\"name\": tag.Name,\n210-\t\t\t\t\"scope\": tag.Scope,\n211-\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n212-\t\t\t}\n213-\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n214-\t\t}\n215-\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { / User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n216-\t\tfor _, tag := range tags {\n217-\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n218-\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n219-\t\t\t\ttagItem := map[string]any{\n220-\t\t\t\t\t\"id\": tag.ID,\n221-\t\t\t\t\t\"name\": tag.Name,\n222-\t\t\t\t\t\"scope\": tag.Scope,\n223-\t\t\t\t\t\"count\": tagCount,\n224-\t\t\t\t}\n225-\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n226-\t\t\t}\n227-\t\t}\n228-\t} // auth < 2 return nothing for this route\n229-\n230-\ti[\"tagmap\"] = tagMap\n231-\treturn i\n232-}\n233-\n234-/ FIXME: Lots of redundant code. Needs refactoring\n235:func buildFilterPresets(query url.Values) map[string]any {\n236-\tfilterPresets := map[string]any{}\n237-\n238-\tif query.Get(\"cluster\") != \"\" {\n239-\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n240-\t}\n241-\tif query.Get(\"partition\") != \"\" {\n242-\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n243-\t}\n244-\tif query.Get(\"project\") != \"\" {\n245-\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n246-\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n247-\t}\n248-\tif query.Get(\"jobName\") != \"\" {\n249-\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n250-\t}\n251-\tif len(query[\"user\"]) != 0 {\n252-\t\tif len(query[\"user\"]) == 1 {\n253-\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n254-\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n255-\t\t} else {\n256-\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n257-\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n258-\t\t}\n259-\t}\n260-\tif len(query[\"state\"]) != 0 {\n261-\t\tfilterPresets[\"state\"] = query[\"state\"]\n262-\t}\n263-\tif query.Get(\"shared\") != \"\" {\n264-\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n265-\t}"}]},"uuid":"afe1f0de-00af-4dd1-bd75-2eacb5d5cad5","timestamp":"2026-03-12T11:45:57.882Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"080b77bb-1cb1-498f-8901-5d7827c8538f","timestamp":"2026-03-12T11:45:57.883Z"} 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+{"parentUuid":"c41f9a9b-f8df-40cf-be33-30ecf0b10516","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CMeiHLLitHFb1N4FqiE1FD","type":"tool_result","content":" 235→func buildFilterPresets(query url.Values) map[string]any {\n 236→\tfilterPresets := map[string]any{}\n 237→\n 238→\tif query.Get(\"cluster\") != \"\" {\n 239→\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n 240→\t}\n 241→\tif query.Get(\"partition\") != \"\" {\n 242→\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n 243→\t}\n 244→\tif query.Get(\"project\") != \"\" {\n 245→\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n 246→\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n 247→\t}\n 248→\tif query.Get(\"jobName\") != \"\" {\n 249→\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n 250→\t}\n 251→\tif len(query[\"user\"]) != 0 {\n 252→\t\tif len(query[\"user\"]) == 1 {\n 253→\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n 254→\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n 255→\t\t} else {\n 256→\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n 257→\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n 258→\t\t}\n 259→\t}\n 260→\tif len(query[\"state\"]) != 0 {\n 261→\t\tfilterPresets[\"state\"] = query[\"state\"]\n 262→\t}\n 263→\tif query.Get(\"shared\") != \"\" {\n 264→\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n 265→\t}\n 266→\tif query.Get(\"schedule\") != \"\" {\n 267→\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n 268→\t}\n 269→\tif rawtags, ok := query[\"tag\"]; ok {\n 270→\t\ttags := make([]int, len(rawtags))\n 271→\t\tfor i, tid := range rawtags {\n 272→\t\t\tvar err error\n 273→\t\t\ttags[i], err = strconv.Atoi(tid)\n 274→\t\t\tif err != nil {\n 275→\t\t\t\ttags[i] = -1\n 276→\t\t\t}\n 277→\t\t}\n 278→\t\tfilterPresets[\"tags\"] = tags\n 279→\t}\n 280→\tif query.Get(\"duration\") != \"\" {\n 281→\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n 282→\t\tif len(parts) == 2 {\n 283→\t\t\tif parts[0] == \"lessthan\" {\n 284→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 285→\t\t\t\tif lte == nil {\n 286→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n 287→\t\t\t\t}\n 288→\t\t\t} else if parts[0] == \"morethan\" {\n 289→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 290→\t\t\t\tif mte == nil {\n 291→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n 292→\t\t\t\t}\n 293→\t\t\t} else {\n 294→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 295→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 296→\t\t\t\tif e1 == nil && e2 == nil {\n 297→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n 298→\t\t\t\t}\n 299→\t\t\t}\n 300→\t\t}\n 301→\t}\n 302→\tif query.Get(\"node\") != \"\" {\n 303→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 304→\t}\n 305→\tif query.Get(\"numNodes\") != \"\" {\n 306→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 307→\t\tif len(parts) == 2 {\n 308→\t\t\tif parts[0] == \"lessthan\" {\n 309→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 310→\t\t\t\tif lte == nil {\n 311→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 312→\t\t\t\t}\n 313→\t\t\t} else if parts[0] == \"morethan\" {\n 314→\t\t\t\tmt, mte := strconv.Atoi(parts[1])"}]},"uuid":"fbf82b86-6ed3-4c09-a57e-4eae9447423a","timestamp":"2026-03-12T11:46:00.732Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"af72b628-7428-408e-b97e-df68bf99f366","timestamp":"2026-03-12T11:46:00.800Z"} +{"parentUuid":"af72b628-7428-408e-b97e-df68bf99f366","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:02.649Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SMgnVD1KoTS9gXCkqVYahH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoFfBePZmigwwTjbh8EXJ6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":300,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1687,"cache_read_input_tokens":63335,"cache_creation":{"ephemeral_5m_input_tokens":1687,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WrE6dehKNV87XCuDm","uuid":"fd26497b-c349-4de5-baff-755090af241a"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"83fb17db-ea36-4484-91fc-100539bd1dc2","timestamp":"2026-03-12T11:46:02.649Z"} +{"parentUuid":"83fb17db-ea36-4484-91fc-100539bd1dc2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoFfBePZmigwwTjbh8EXJ6","type":"tool_result","content":" 300→\t\t}\n 301→\t}\n 302→\tif query.Get(\"node\") != \"\" {\n 303→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 304→\t}\n 305→\tif query.Get(\"numNodes\") != \"\" {\n 306→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 307→\t\tif len(parts) == 2 {\n 308→\t\t\tif parts[0] == \"lessthan\" {\n 309→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 310→\t\t\t\tif lte == nil {\n 311→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 312→\t\t\t\t}\n 313→\t\t\t} else if parts[0] == \"morethan\" {\n 314→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 315→\t\t\t\tif mte == nil {\n 316→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n 317→\t\t\t\t}\n 318→\t\t\t} else {\n 319→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 320→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 321→\t\t\t\tif e1 == nil && e2 == nil {\n 322→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\tif query.Get(\"numHWThreads\") != \"\" {\n 328→\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n 329→\t\tif len(parts) == 2 {\n 330→\t\t\tif parts[0] == \"lessthan\" {\n 331→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 332→\t\t\t\tif lte == nil {\n 333→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n 334→\t\t\t\t}\n 335→\t\t\t} else if parts[0] == \"morethan\" {\n 336→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 337→\t\t\t\tif mte == nil {\n 338→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n 339→\t\t\t\t}\n 340→\t\t\t} else {\n 341→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 342→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 343→\t\t\t\tif e1 == nil && e2 == nil {\n 344→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n 345→\t\t\t\t}\n 346→\t\t\t}\n 347→\t\t}\n 348→\t}\n 349→\tif query.Get(\"numAccelerators\") != \"\" {\n 350→\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n 351→\t\tif len(parts) == 2 {\n 352→\t\t\tif parts[0] == \"lessthan\" {\n 353→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 354→\t\t\t\tif lte == nil {\n 355→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n 356→\t\t\t\t}\n 357→\t\t\t} else if parts[0] == \"morethan\" {\n 358→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 359→\t\t\t\tif mte == nil {\n 360→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n 361→\t\t\t\t}\n 362→\t\t\t} else {\n 363→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 364→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 365→\t\t\t\tif e1 == nil && e2 == nil {\n 366→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n 367→\t\t\t\t}\n 368→\t\t\t}\n 369→\t\t}\n 370→\t}\n 371→\tif len(query[\"dbId\"]) != 0 {\n 372→\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n 373→\t}\n 374→\tif query.Get(\"jobId\") != \"\" {\n 375→\t\tif len(query[\"jobId\"]) == 1 {\n 376→\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n 377→\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n 378→\t\t} else {\n 379→\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]"}]},"uuid":"ac4ecd24-b46e-4fce-a7c4-58cd90f0d12c","timestamp":"2026-03-12T11:46:02.660Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"b920217f-ac38-4b56-82df-8906a995517c","timestamp":"2026-03-12T11:46:02.675Z"} +{"parentUuid":"b920217f-ac38-4b56-82df-8906a995517c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:05.056Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DSPjTc7aHL2NnPZQyB465u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SGcXfwvAY1stpcwKW85ysi","name":"Grep","input":{"pattern":"startTime|query.Get","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","context":2,"head_limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1423,"cache_read_input_tokens":65022,"cache_creation":{"ephemeral_5m_input_tokens":1423,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8Wz7s9ZZnEi7g78nQc","uuid":"eaf3d5d7-12a3-4748-9b25-b0274fbc8dc4"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f6692360-7af0-415a-9c7d-70cc844ebfb4","timestamp":"2026-03-12T11:46:05.057Z"} +{"parentUuid":"f6692360-7af0-415a-9c7d-70cc844ebfb4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SGcXfwvAY1stpcwKW85ysi","type":"tool_result","content":"236-\tfilterPresets := map[string]any{}\n237-\n238:\tif query.Get(\"cluster\") != \"\" {\n239:\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n240-\t}\n241:\tif query.Get(\"partition\") != \"\" {\n242:\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n243-\t}\n244:\tif query.Get(\"project\") != \"\" {\n245:\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n246-\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n247-\t}\n248:\tif query.Get(\"jobName\") != \"\" {\n249:\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n250-\t}\n251-\tif len(query[\"user\"]) != 0 {\n252-\t\tif len(query[\"user\"]) == 1 {\n253:\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n254-\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n255-\t\t} else {\n--\n261-\t\tfilterPresets[\"state\"] = query[\"state\"]\n262-\t}\n263:\tif query.Get(\"shared\") != \"\" {\n264:\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n265-\t}\n266:\tif query.Get(\"schedule\") != \"\" {\n267:\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n268-\t}\n269-\tif rawtags, ok := query[\"tag\"]; ok {\n\n[Showing results with pagination = limit: 30, offset: 0]"}]},"uuid":"8bf01b63-c072-46c4-8c49-544611dd8871","timestamp":"2026-03-12T11:46:05.077Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f6efedc0-d446-4f26-a229-1d4a11d65146","timestamp":"2026-03-12T11:46:05.090Z"} +{"parentUuid":"f6efedc0-d446-4f26-a229-1d4a11d65146","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:06.256Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BUZdKB5K4YQJJ8Nc6ee58E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KM4iyY8YzW8yiS63ERCGkB","name":"Bash","input":{"command":"grep -n \"startTime\\|fromTime\\|toTime\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":592,"cache_read_input_tokens":66445,"cache_creation":{"ephemeral_5m_input_tokens":592,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XARjJnyfPcC7CBPrU","uuid":"7c9b9410-74fc-49b3-b494-076eb37e2b07"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"ff4f1b07-dd78-4fb5-9bfc-d60b31241d67","timestamp":"2026-03-12T11:46:06.257Z"} +{"parentUuid":"ff4f1b07-dd78-4fb5-9bfc-d60b31241d67","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KM4iyY8YzW8yiS63ERCGkB","type":"tool_result","content":"388:\tif query.Get(\"startTime\") != \"\" {\n389:\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n394:\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n400:\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n401:\t\t\t\t\"range\": query.Get(\"startTime\"),\n530:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n532:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n538:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n540:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n543:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n551:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n554:\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n575:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n577:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)","is_error":false}]},"uuid":"7205366d-9497-4ba0-bf4f-1a3269714e1d","timestamp":"2026-03-12T11:46:06.305Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f4e1dd73-e638-4947-b05f-d5865be9805a","timestamp":"2026-03-12T11:46:06.306Z"} 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named range\n 400→\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 401→\t\t\t\t\"range\": query.Get(\"startTime\"),\n 402→\t\t\t}\n 403→\t\t}\n 404→\t}\n 405→\tif query.Get(\"energy\") != \"\" {\n 406→\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n 407→\t\tif len(parts) == 2 {\n 408→\t\t\tif parts[0] == \"lessthan\" {\n 409→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 410→\t\t\t\tif lte == nil {\n 411→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n 412→\t\t\t\t}\n 413→\t\t\t} else if parts[0] == \"morethan\" {\n 414→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 415→\t\t\t\tif mte == nil {\n 416→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n 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+{"parentUuid":"46f4f36c-6136-4cbf-85c5-0e6cc83019b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PGbb1iKmrwg1wncXfXnJJ8","type":"tool_result","content":"8- - `startTimeQuickSelect Bool?`: Render startTime quick selections [Default: false]\n9- - `shortJobQuickSelect Bool?`: Render short job quick selections [Default: false]\n10- - `shortJobCutoff Int?`: Time in seconds for jobs to be considered short [Default: null]\n11- - `matchedJobs Number?`: Number of jobs matching the filter [Default: -2]\n12- - `showFilter Func`: If the filter component should be rendered in addition to total count info [Default: true]\n13: - `applyFilters Func`: The callback function to apply current filter selection\n14- \n15- Functions:\n16: - `void updateFilters (additionalFilters: Object, force: Bool)`:\n17- Handles new filters from nested components, triggers upstream update event. \n18- 'additionalFilters' usually added to existing selection, but can be forced to overwrite instead.\n19--->\n20-\n21-