ClusterCockpit/cc-backend
1
0
Fork 0
mirror of https://github.com/ClusterCockpit/cc-backend synced 2026-03-24 00:27:29 +01:00
Code Issues Packages Releases Activity
Files
21d49d9c5c563205ed7757e25f1574459c3a9a62
cc-backend/75/36f551d548/1/full.jsonl
Jan Eitzinger b597c5a7a1 Checkpoint: 7536f551d548 
Entire-Session: 9a08e650-0994-4213-b4b8-8d13b8cd4026
Entire-Strategy: manual-commit
Entire-Agent: Claude Code
Ephemeral-branch: entire/0069c86-e3b0c4
2026-03-20 08:03:34 +01:00

141 lines
469 KiB
JSON
Raw Blame History

{"type":"file-history-snapshot","messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":false}
{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d2f679e1-4e5c-46b2-a83f-1bf37767f2c3","toolUseID":"d2f679e1-4e5c-46b2-a83f-1bf37767f2c3","timestamp":"2026-03-20T06:24:39.705Z","uuid":"7b5f5a16-4eea-4f5a-b736-e7a925866a8f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"7b5f5a16-4eea-4f5a-b736-e7a925866a8f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/f8d732b5-ee26-4579-bdeb-237fa0cb9261.jsonl"},"uuid":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","timestamp":"2026-03-20T06:24:39.590Z","planContent":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"custom-title","customTitle":"replace-file-based-resampling-config","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026"}
{"type":"agent-name","agentName":"replace-file-based-resampling-config","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026"}
{"parentUuid":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"Ev8BCkYICxgCKkDlmBTUY55ZbXKvxYLptWXkWEDMKA+yP2YVSPkpBNA85wGC0nQejElYWcc5RGIskm2qfClhe9eYLndESlgfjsemEgzu+szc1j5ryshoSSUaDEL8GCfIX8vFMd4g+SIwg4RlSWjZNva7pirw3uj8c3PBB/Z61izSVYGxexbhrIB9+y3DsB+QIuW3D1YdghfwKmeW6t68fgMyvtc393QNVKdhmw/x2mG38KGRfP5PedPlAPzGRDPvYz1+oNG08r3Eex+oIQN9Krlnr8O6NwUbG+ruB1n0m/fhuS7r2t+TmQVjTysM733GMkcrBF+TLBUPQXgQoyg+Mx8XGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"41b25bce-39ca-4087-b07f-3ad95289ae09","timestamp":"2026-03-20T06:24:43.548Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"41b25bce-39ca-4087-b07f-3ad95289ae09","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the files that need to be modified."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"2c16f923-c2ef-422e-88e5-4c93ddd65368","timestamp":"2026-03-20T06:24:44.319Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"2c16f923-c2ef-422e-88e5-4c93ddd65368","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CsdpwWmHejnb9DQpjEL49n","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"905c4b1e-31db-4723-a263-ec35acfc94d4","timestamp":"2026-03-20T06:24:45.033Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"905c4b1e-31db-4723-a263-ec35acfc94d4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01CsdpwWmHejnb9DQpjEL49n","toolUseID":"toolu_01CsdpwWmHejnb9DQpjEL49n","timestamp":"2026-03-20T06:24:45.047Z","uuid":"580eacc9-2aa9-413e-ba56-3be79b20c6d7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"905c4b1e-31db-4723-a263-ec35acfc94d4","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CsdpwWmHejnb9DQpjEL49n","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 config implements the program configuration data structures, validation and parsing\n 7→package config\n 8→\n 9→import (\n 10→\t\"bytes\"\n 11→\t\"encoding/json\"\n 12→\t\"time\"\n 13→\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 16→)\n 17→\n 18→type ProgramConfig struct {\n 19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n 20→\tAddr string `json:\"addr\"`\n 21→\n 22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n 23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n 24→\n 25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n 26→\n 27→\t// Drop root permissions once .env was read and the port was taken.\n 28→\tUser string `json:\"user\"`\n 29→\tGroup string `json:\"group\"`\n 30→\n 31→\t// Disable authentication (for everything: API, Web-UI, ...)\n 32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n 33→\n 34→\t// If `embed-static-files` is true (default), the frontend files are directly\n 35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n 36→\t// it is false the files in `static-files` are served instead.\n 37→\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n 38→\tStaticFiles string `json:\"static-files\"`\n 39→\n 40→\t// Path to SQLite database file\n 41→\tDB string `json:\"db\"`\n 42→\n 43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n 44→\n 45→\t// Validate json input against schema\n 46→\tValidate bool `json:\"validate\"`\n 47→\n 48→\t// If 0 or empty, the session does not expire!\n 49→\tSessionMaxAge string `json:\"session-max-age\"`\n 50→\n 51→\t// If both those options are not empty, use HTTPS using those certificates.\n 52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n 53→\tHTTPSKeyFile string `json:\"https-key-file\"`\n 54→\n 55→\t// If not the empty string and `addr` does not end in \":80\",\n 56→\t// redirect every request incoming at port 80 to that url.\n 57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n 58→\n 59→\t// Where to store MachineState files\n 60→\tMachineStateDir string `json:\"machine-state-dir\"`\n 61→\n 62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n 63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n 64→\n 65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n 66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n 67→\n 68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n 69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n 70→\tEmissionConstant int `json:\"emission-constant\"`\n 71→\n 72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n 73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n 74→\n 75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n 76→\tSystemdUnit string `json:\"systemd-unit\"`\n 77→\n 78→\t// Node state retention configuration\n 79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n 80→\n 81→\t// Database tuning configuration\n 82→\tDbConfig *DbConfig `json:\"db-config\"`\n 83→}\n 84→\n 85→type DbConfig struct {\n 86→\tCacheSizeMB int `json:\"cache-size-mb\"`\n 87→\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n 88→\tMaxOpenConnections int `json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n 92→}\n 93→\n 94→type NodeStateRetention struct {\n 95→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 96→\tAge int `json:\"age\"` // hours, default 24\n 97→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 98→\tTargetPath string `json:\"target-path\"`\n 99→\tTargetEndpoint string `json:\"target-endpoint\"`\n 100→\tTargetBucket string `json:\"target-bucket\"`\n 101→\tTargetAccessKey string `json:\"target-access-key\"`\n 102→\tTargetSecretKey string `json:\"target-secret-key\"`\n 103→\tTargetRegion string `json:\"target-region\"`\n 104→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 105→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 106→}\n 107→\n 108→type ResampleConfig struct {\n 109→\t// Minimum number of points to trigger resampling of data\n 110→\tMinimumPoints int `json:\"minimum-points\"`\n 111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 112→\tResolutions []int `json:\"resolutions\"`\n 113→\t// Trigger next zoom level at less than this many visible datapoints\n 114→\tTrigger int `json:\"trigger\"`\n 115→\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n 116→\tTargetPoints int `json:\"targetPoints,omitempty\"`\n 117→}\n 118→\n 119→type NATSConfig struct {\n 120→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 121→\tSubjectNodeState string `json:\"subject-node-state\"`\n 122→\tJobConcurrency int `json:\"job-concurrency\"`\n 123→\tNodeConcurrency int `json:\"node-concurrency\"`\n 124→}\n 125→\n 126→type IntRange struct {\n 127→\tFrom int `json:\"from\"`\n 128→\tTo int `json:\"to\"`\n 129→}\n 130→\n 131→type TimeRange struct {\n 132→\tFrom *time.Time `json:\"from\"`\n 133→\tTo *time.Time `json:\"to\"`\n 134→\tRange string `json:\"range,omitempty\"`\n 135→}\n 136→\n 137→type FilterRanges struct {\n 138→\tDuration *IntRange `json:\"duration\"`\n 139→\tNumNodes *IntRange `json:\"num-nodes\"`\n 140→\tStartTime *TimeRange `json:\"start-time\"`\n 141→}\n 142→\n 143→var Keys ProgramConfig = ProgramConfig{\n 144→\tAddr: \"localhost:8080\",\n 145→\tEmbedStaticFiles: true,\n 146→\tDB: \"./var/job.db\",\n 147→\tSessionMaxAge: \"168h\",\n 148→\tStopJobsExceedingWalltime: 0,\n 149→\tShortRunningJobsDuration: 5 * 60,\n 150→}\n 151→\n 152→func Init(mainConfig json.RawMessage) {\n 153→\tValidate(configSchema, mainConfig)\n 154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 155→\tdec.DisallowUnknownFields()\n 156→\tif err := dec.Decode(&Keys); err != nil {\n 157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 158→\t}\n 159→\n 160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 162→\t}\n 163→}\n 164→"}]},"uuid":"cffe34fa-11e6-43f7-a81c-23d09b3f3c11","timestamp":"2026-03-20T06:24:45.047Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.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// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":164,"startLine":1,"totalLines":164}},"sourceToolAssistantUUID":"905c4b1e-31db-4723-a263-ec35acfc94d4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"cffe34fa-11e6-43f7-a81c-23d09b3f3c11","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WUM2rzmbh8h3Qt815qGEmB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","timestamp":"2026-03-20T06:24:45.233Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WUM2rzmbh8h3Qt815qGEmB","toolUseID":"toolu_01WUM2rzmbh8h3Qt815qGEmB","timestamp":"2026-03-20T06:24:45.237Z","uuid":"67ebdbbe-eb7f-4776-a502-2555e8ada4bc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WUM2rzmbh8h3Qt815qGEmB","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 config\n 7→\n 8→var configSchema = `\n 9→{\n 10→ \"type\": \"object\",\n 11→ \"properties\": {\n 12→ \"addr\": {\n 13→ \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n 14→ \"type\": \"string\"\n 15→ },\n 16→ \"api-allowed-ips\": {\n 17→ \"description\": \"Addresses from which secured API endpoints can be reached\",\n 18→ \"type\": \"array\",\n 19→ \"items\": {\n 20→ \"type\": \"string\"\n 21→ }\n 22→ },\n 23→ \"user\": {\n 24→ \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n 25→ \"type\": \"string\"\n 26→ },\n 27→ \"group\": {\n 28→ \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n 29→ \"type\": \"string\"\n 30→ },\n 31→ \"disable-authentication\": {\n 32→ \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n 33→ \"type\": \"boolean\"\n 34→ },\n 35→ \"embed-static-files\": {\n 36→ \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n 37→ \"type\": \"boolean\"\n 38→ },\n 39→ \"static-files\": {\n 40→ \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n 41→ \"type\": \"string\"\n 42→ },\n 43→ \"db\": {\n 44→ \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n 45→ \"type\": \"string\"\n 46→ },\n 47→ \"enable-job-taggers\": {\n 48→ \"description\": \"Turn on automatic application and jobclass taggers\",\n 49→ \"type\": \"boolean\"\n 50→ },\n 51→ \"validate\": {\n 52→ \"description\": \"Validate all input json documents against json schema.\",\n 53→ \"type\": \"boolean\"\n 54→ },\n 55→ \"session-max-age\": {\n 56→ \"description\": \"Specifies for how long a session shall be valid as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n 57→ \"type\": \"string\"\n 58→ },\n 59→ \"https-cert-file\": {\n 60→ \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n 61→ \"type\": \"string\"\n 62→ },\n 63→ \"https-key-file\": {\n 64→ \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n 65→ \"type\": \"string\"\n 66→ },\n 67→ \"redirect-http-to\": {\n 68→ \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n 69→ \"type\": \"string\"\n 70→ },\n 71→ \"stop-jobs-exceeding-walltime\": {\n 72→ \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n 73→ \"type\": \"integer\"\n 74→ },\n 75→ \"short-running-jobs-duration\": {\n 76→ \"description\": \"Do not show running jobs shorter than X seconds.\",\n 77→ \"type\": \"integer\"\n 78→ },\n 79→ \"emission-constant\": {\n 80→ \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n 81→ \"type\": \"integer\"\n 82→ },\n 83→ \"machine-state-dir\": {\n 84→ \"description\": \"Where to store MachineState files.\",\n 85→ \"type\": \"string\"\n 86→ },\n 87→ \"systemd-unit\": {\n 88→ \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n 89→ \"type\": \"string\"\n 90→ },\n 91→ \"resampling\": {\n 92→ \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n 93→ \"type\": \"object\",\n 94→ \"properties\": {\n 95→ \"minimum-points\": {\n 96→ \"description\": \"Minimum points to trigger resampling of time-series data.\",\n 97→ \"type\": \"integer\"\n 98→ },\n 99→ \"trigger\": {\n 100→ \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n 101→ \"type\": \"integer\"\n 102→ },\n 103→ \"resolutions\": {\n 104→ \"description\": \"Array of resampling target resolutions, in seconds.\",\n 105→ \"type\": \"array\",\n 106→ \"items\": {\n 107→ \"type\": \"integer\"\n 108→ }\n 109→ }\n 110→ },\n 111→ \"required\": [\"trigger\", \"resolutions\"]\n 112→ },\n 113→ \"api-subjects\": {\n 114→ \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n 115→ \"type\": \"object\",\n 116→ \"properties\": {\n 117→ \"subject-job-event\": {\n 118→ \"description\": \"NATS subject for job events (start_job, stop_job)\",\n 119→ \"type\": \"string\"\n 120→ },\n 121→ \"subject-node-state\": {\n 122→ \"description\": \"NATS subject for node state updates\",\n 123→ \"type\": \"string\"\n 124→ },\n 125→ \"job-concurrency\": {\n 126→ \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n 127→ \"type\": \"integer\"\n 128→ },\n 129→ \"node-concurrency\": {\n 130→ \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n 131→ \"type\": \"integer\"\n 132→ }\n 133→ },\n 134→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 135→ },\n 136→ \"nodestate-retention\": {\n 137→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 138→ \"type\": \"object\",\n 139→ \"properties\": {\n 140→ \"policy\": {\n 141→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 142→ \"type\": \"string\",\n 143→ \"enum\": [\"delete\", \"move\"]\n 144→ },\n 145→ \"age\": {\n 146→ \"description\": \"Retention age in hours (default: 24).\",\n 147→ \"type\": \"integer\"\n 148→ },\n 149→ \"target-kind\": {\n 150→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 151→ \"type\": \"string\",\n 152→ \"enum\": [\"file\", \"s3\"]\n 153→ },\n 154→ \"target-path\": {\n 155→ \"description\": \"Filesystem path for parquet file target.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-endpoint\": {\n 159→ \"description\": \"S3 endpoint URL.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-bucket\": {\n 163→ \"description\": \"S3 bucket name.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-access-key\": {\n 167→ \"description\": \"S3 access key.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-secret-key\": {\n 171→ \"description\": \"S3 secret key.\",\n 172→ \"type\": \"string\"\n 173→ },\n 174→ \"target-region\": {\n 175→ \"description\": \"S3 region.\",\n 176→ \"type\": \"string\"\n 177→ },\n 178→ \"target-use-path-style\": {\n 179→ \"description\": \"Use path-style S3 addressing.\",\n 180→ \"type\": \"boolean\"\n 181→ },\n 182→ \"max-file-size-mb\": {\n 183→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 184→ \"type\": \"integer\"\n 185→ }\n 186→ },\n 187→ \"required\": [\"policy\"]\n 188→ },\n 189→ \"db-config\": {\n 190→ \"description\": \"SQLite database tuning configuration.\",\n 191→ \"type\": \"object\",\n 192→ \"properties\": {\n 193→ \"cache-size-mb\": {\n 194→ \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n 195→ \"type\": \"integer\"\n 196→ },\n 197→ \"soft-heap-limit-mb\": {\n 198→ \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n 199→ \"type\": \"integer\"\n 200→ },\n 201→ \"max-open-connections\": {\n 202→ \"description\": \"Maximum number of open database connections (default: 4).\",\n 203→ \"type\": \"integer\"\n 204→ },\n 205→ \"max-idle-connections\": {\n 206→ \"description\": \"Maximum number of idle database connections (default: 4).\",\n 207→ \"type\": \"integer\"\n 208→ },\n 209→ \"max-idle-time-minutes\": {\n 210→ \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n 211→ \"type\": \"integer\"\n 212→ },\n 213→ \"busy-timeout-ms\": {\n 214→ \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n 215→ \"type\": \"integer\"\n 216→ }\n 217→ }\n 218→ }\n 219→ }\n 220→}`\n 221→"}]},"uuid":"152f592e-06fc-4996-991b-02401c65edae","timestamp":"2026-03-20T06:24:45.236Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.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 config\n\nvar configSchema = `\n{\n \"type\": \"object\",\n \"properties\": {\n \"addr\": {\n \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n \"type\": \"string\"\n },\n \"api-allowed-ips\": {\n \"description\": \"Addresses from which secured API endpoints can be reached\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"user\": {\n \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n \"type\": \"string\"\n },\n \"group\": {\n \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n \"type\": \"string\"\n },\n \"disable-authentication\": {\n \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n \"type\": \"boolean\"\n },\n \"embed-static-files\": {\n \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n \"type\": \"boolean\"\n },\n \"static-files\": {\n \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n \"type\": \"string\"\n },\n \"db\": {\n \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n \"type\": \"string\"\n },\n \"enable-job-taggers\": {\n \"description\": \"Turn on automatic application and jobclass taggers\",\n \"type\": \"boolean\"\n },\n \"validate\": {\n \"description\": \"Validate all input json documents against json schema.\",\n \"type\": \"boolean\"\n },\n \"session-max-age\": {\n \"description\": \"Specifies for how long a session shall be valid as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n \"type\": \"string\"\n },\n \"https-cert-file\": {\n \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n \"type\": \"string\"\n },\n \"https-key-file\": {\n \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n \"type\": \"string\"\n },\n \"redirect-http-to\": {\n \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n \"type\": \"string\"\n },\n \"stop-jobs-exceeding-walltime\": {\n \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n \"type\": \"integer\"\n },\n \"short-running-jobs-duration\": {\n \"description\": \"Do not show running jobs shorter than X seconds.\",\n \"type\": \"integer\"\n },\n \"emission-constant\": {\n \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n \"type\": \"integer\"\n },\n \"machine-state-dir\": {\n \"description\": \"Where to store MachineState files.\",\n \"type\": \"string\"\n },\n \"systemd-unit\": {\n \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n \"type\": \"string\"\n },\n \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"trigger\": {\n \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n \"type\": \"integer\"\n },\n \"resolutions\": {\n \"description\": \"Array of resampling target resolutions, in seconds.\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"integer\"\n }\n }\n },\n \"required\": [\"trigger\", \"resolutions\"]\n },\n \"api-subjects\": {\n \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n \"type\": \"object\",\n \"properties\": {\n \"subject-job-event\": {\n \"description\": \"NATS subject for job events (start_job, stop_job)\",\n \"type\": \"string\"\n },\n \"subject-node-state\": {\n \"description\": \"NATS subject for node state updates\",\n \"type\": \"string\"\n },\n \"job-concurrency\": {\n \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n \"type\": \"integer\"\n },\n \"node-concurrency\": {\n \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n \"type\": \"integer\"\n }\n },\n \"required\": [\"subject-job-event\", \"subject-node-state\"]\n },\n \"nodestate-retention\": {\n \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n \"type\": \"object\",\n \"properties\": {\n \"policy\": {\n \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n \"type\": \"string\",\n \"enum\": [\"delete\", \"move\"]\n },\n \"age\": {\n \"description\": \"Retention age in hours (default: 24).\",\n \"type\": \"integer\"\n },\n \"target-kind\": {\n \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n \"type\": \"string\",\n \"enum\": [\"file\", \"s3\"]\n },\n \"target-path\": {\n \"description\": \"Filesystem path for parquet file target.\",\n \"type\": \"string\"\n },\n \"target-endpoint\": {\n \"description\": \"S3 endpoint URL.\",\n \"type\": \"string\"\n },\n \"target-bucket\": {\n \"description\": \"S3 bucket name.\",\n \"type\": \"string\"\n },\n \"target-access-key\": {\n \"description\": \"S3 access key.\",\n \"type\": \"string\"\n },\n \"target-secret-key\": {\n \"description\": \"S3 secret key.\",\n \"type\": \"string\"\n },\n \"target-region\": {\n \"description\": \"S3 region.\",\n \"type\": \"string\"\n },\n \"target-use-path-style\": {\n \"description\": \"Use path-style S3 addressing.\",\n \"type\": \"boolean\"\n },\n \"max-file-size-mb\": {\n \"description\": \"Maximum parquet file size in MB (default: 128).\",\n \"type\": \"integer\"\n }\n },\n \"required\": [\"policy\"]\n },\n \"db-config\": {\n \"description\": \"SQLite database tuning configuration.\",\n \"type\": \"object\",\n \"properties\": {\n \"cache-size-mb\": {\n \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n \"type\": \"integer\"\n },\n \"soft-heap-limit-mb\": {\n \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n \"type\": \"integer\"\n },\n \"max-open-connections\": {\n \"description\": \"Maximum number of open database connections (default: 4).\",\n \"type\": \"integer\"\n },\n \"max-idle-connections\": {\n \"description\": \"Maximum number of idle database connections (default: 4).\",\n \"type\": \"integer\"\n },\n \"max-idle-time-minutes\": {\n \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n \"type\": \"integer\"\n },\n \"busy-timeout-ms\": {\n \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n \"type\": \"integer\"\n }\n }\n }\n }\n}`\n","numLines":221,"startLine":1,"totalLines":221}},"sourceToolAssistantUUID":"d71b19d1-baaa-48b7-a3eb-3c097c1bdce1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"152f592e-06fc-4996-991b-02401c65edae","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JNiJBQSu2ebBkJTiU82C15","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11557},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"a536e984-17c9-4cb2-aa55-f4ad71147e33","timestamp":"2026-03-20T06:24:45.369Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"a536e984-17c9-4cb2-aa55-f4ad71147e33","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpzCNKKiKNtvBSqiULanTU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11557,"cache_read_input_tokens":8658,"output_tokens":305,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11557,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrUtgKpHP1RzGsvb1zU","type":"assistant","uuid":"877b8095-0d89-42aa-b5dc-65cd1733d149","timestamp":"2026-03-20T06:24:45.506Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"877b8095-0d89-42aa-b5dc-65cd1733d149","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","toolUseID":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","timestamp":"2026-03-20T06:24:45.509Z","uuid":"ec3fd090-d4f9-411a-b8ba-2b5cb884af24","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"877b8095-0d89-42aa-b5dc-65cd1733d149","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JWpYAB1bdxEUpz5pY4LwEF","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→package graph\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"strings\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 15→)\n 16→\n 17→// resolveResolutionFromPolicy reads the user's resample policy preference and\n 18→// computes a resolution based on job duration and metric frequency. Returns nil\n 19→// if the user has no policy set.\n 20→func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n 21→\tuser := repository.GetUserFromContext(ctx)\n 22→\tif user == nil {\n 23→\t\treturn nil\n 24→\t}\n 25→\n 26→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n 27→\tif err != nil {\n 28→\t\treturn nil\n 29→\t}\n 30→\n 31→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n 32→\tif !ok {\n 33→\t\treturn nil\n 34→\t}\n 35→\tpolicyStr, ok := policyVal.(string)\n 36→\tif !ok || policyStr == \"\" {\n 37→\t\treturn nil\n 38→\t}\n 39→\n 40→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n 41→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n 42→\tif targetPoints == 0 {\n 43→\t\treturn nil\n 44→\t}\n 45→\n 46→\t// Find the smallest metric frequency across the requested metrics\n 47→\tfrequency := smallestFrequency(cluster, metrics)\n 48→\tif frequency <= 0 {\n 49→\t\treturn nil\n 50→\t}\n 51→\n 52→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n 53→\treturn &res\n 54→}\n 55→\n 56→// resolveResampleAlgo returns the resampling algorithm name to use, checking\n 57→// the explicit GraphQL parameter first, then the user's preference.\n 58→func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n 59→\tif resampleAlgo != nil {\n 60→\t\treturn strings.ToLower(resampleAlgo.String())\n 61→\t}\n 62→\n 63→\tuser := repository.GetUserFromContext(ctx)\n 64→\tif user == nil {\n 65→\t\treturn \"\"\n 66→\t}\n 67→\n 68→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n 69→\tif err != nil {\n 70→\t\treturn \"\"\n 71→\t}\n 72→\n 73→\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n 74→\tif !ok {\n 75→\t\treturn \"\"\n 76→\t}\n 77→\talgoStr, ok := algoVal.(string)\n 78→\tif !ok {\n 79→\t\treturn \"\"\n 80→\t}\n 81→\n 82→\treturn algoStr\n 83→}\n 84→\n 85→// smallestFrequency returns the smallest metric timestep (in seconds) among the\n 86→// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n 87→func smallestFrequency(cluster string, metrics []string) int {\n 88→\tcl := archive.GetCluster(cluster)\n 89→\tif cl == nil {\n 90→\t\treturn 0\n 91→\t}\n 92→\n 93→\tminFreq := 0\n 94→\tfor _, mc := range cl.MetricConfig {\n 95→\t\tif len(metrics) > 0 {\n 96→\t\t\tfound := false\n 97→\t\t\tfor _, m := range metrics {\n 98→\t\t\t\tif mc.Name == m {\n 99→\t\t\t\t\tfound = true\n 100→\t\t\t\t\tbreak\n 101→\t\t\t\t}\n 102→\t\t\t}\n 103→\t\t\tif !found {\n 104→\t\t\t\tcontinue\n 105→\t\t\t}\n 106→\t\t}\n 107→\t\tif minFreq == 0 || mc.Timestep < minFreq {\n 108→\t\t\tminFreq = mc.Timestep\n 109→\t\t}\n 110→\t}\n 111→\n 112→\treturn minFreq\n 113→}\n 114→"}]},"uuid":"fa488e99-a917-49e3-a9ff-14121b1aed76","timestamp":"2026-03-20T06:24:45.509Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.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.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","numLines":114,"startLine":1,"totalLines":114}},"sourceToolAssistantUUID":"877b8095-0d89-42aa-b5dc-65cd1733d149","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"fa488e99-a917-49e3-a9ff-14121b1aed76","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JNiJBQSu2ebBkJTiU82C15","toolUseID":"toolu_01JNiJBQSu2ebBkJTiU82C15","timestamp":"2026-03-20T06:24:45.569Z","uuid":"b3efc71d-9e83-4cd9-b6a8-261920fbf9bc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"a536e984-17c9-4cb2-aa55-f4ad71147e33","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JNiJBQSu2ebBkJTiU82C15","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→package routerConfig\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\t\"net/http\"\n 10→\t\"net/url\"\n 11→\t\"os\"\n 12→\t\"strconv\"\n 13→\t\"strings\"\n 14→\t\"time\"\n 15→\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 24→\t\"github.com/go-chi/chi/v5\"\n 25→)\n 26→\n 27→type InfoType map[string]any\n 28→\n 29→type Route struct {\n 30→\tRoute string\n 31→\tTemplate string\n 32→\tTitle string\n 33→\tFilter bool\n 34→\tSetup func(i InfoType, r *http.Request) InfoType\n 35→}\n 36→\n 37→var routes []Route = []Route{\n 38→\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n 39→\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n 40→\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n 41→\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n 42→\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n 43→\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n 44→\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n 45→\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n 46→\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n 47→\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n 48→\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n 49→\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n 50→\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n 51→\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n 52→\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n 53→\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n 54→\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n 55→}\n 56→\n 57→func setupHomeRoute(i InfoType, r *http.Request) InfoType {\n 58→\tjobRepo := repository.GetJobRepository()\n 59→\tgroupBy := model.AggregateCluster\n 60→\n 61→\t// startJobCount := time.Now()\n 62→\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n 63→\tif err != nil {\n 64→\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n 65→\t}\n 66→\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n 67→\n 68→\t// startRunningJobCount := time.Now()\n 69→\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n 70→\tif err != nil {\n 71→\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n 72→\t}\n 73→\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n 74→\n 75→\ti[\"clusters\"] = stats\n 76→\n 77→\tif util.CheckFileExists(\"./var/notice.txt\") {\n 78→\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n 79→\t\tif err != nil {\n 80→\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n 81→\t\t} else {\n 82→\t\t\ti[\"message\"] = string(msg)\n 83→\t\t}\n 84→\t}\n 85→\n 86→\treturn i\n 87→}\n 88→\n 89→func setupConfigRoute(i InfoType, r *http.Request) InfoType {\n 90→\tif util.CheckFileExists(\"./var/notice.txt\") {\n 91→\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n 92→\t\tif err == nil {\n 93→\t\t\ti[\"ncontent\"] = string(msg)\n 94→\t\t}\n 95→\t}\n 96→\n 97→\treturn i\n 98→}\n 99→\n 100→func setupJobRoute(i InfoType, r *http.Request) InfoType {\n 101→\ti[\"id\"] = chi.URLParam(r, \"id\")\n 102→\tif config.Keys.EmissionConstant != 0 {\n 103→\t\ti[\"emission\"] = config.Keys.EmissionConstant\n 104→\t}\n 105→\treturn i\n 106→}\n 107→\n 108→func setupUserRoute(i InfoType, r *http.Request) InfoType {\n 109→\tusername := chi.URLParam(r, \"id\")\n 110→\ti[\"id\"] = username\n 111→\ti[\"username\"] = username\n 112→\t// TODO: If forbidden (== err exists), redirect to error page\n 113→\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n 114→\t\ti[\"name\"] = user.Name\n 115→\t\ti[\"email\"] = user.Email\n 116→\t}\n 117→\treturn i\n 118→}\n 119→\n 120→func setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n 121→\tcluster := chi.URLParam(r, \"cluster\")\n 122→\ti[\"id\"] = cluster\n 123→\ti[\"cluster\"] = cluster\n 124→\ti[\"displayType\"] = \"DASHBOARD\"\n 125→\treturn i\n 126→}\n 127→\n 128→func setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n 129→\tcluster := chi.URLParam(r, \"cluster\")\n 130→\ti[\"id\"] = cluster\n 131→\ti[\"cluster\"] = cluster\n 132→\ti[\"displayType\"] = \"DETAILS\"\n 133→\treturn i\n 134→}\n 135→\n 136→func setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n 137→\tcluster := chi.URLParam(r, \"cluster\")\n 138→\ti[\"id\"] = cluster\n 139→\ti[\"cluster\"] = cluster\n 140→\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n 141→\treturn i\n 142→}\n 143→\n 144→func setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n 145→\tcluster := chi.URLParam(r, \"cluster\")\n 146→\ti[\"id\"] = cluster\n 147→\ti[\"cluster\"] = cluster\n 148→\ti[\"displayType\"] = \"OVERVIEW\"\n 149→\n 150→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n 151→\tif from != \"\" || to != \"\" {\n 152→\t\ti[\"from\"] = from\n 153→\t\ti[\"to\"] = to\n 154→\t}\n 155→\treturn i\n 156→}\n 157→\n 158→func setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n 159→\tcluster := chi.URLParam(r, \"cluster\")\n 160→\tsubcluster := chi.URLParam(r, \"subcluster\")\n 161→\ti[\"id\"] = cluster\n 162→\ti[\"cluster\"] = cluster\n 163→\ti[\"sid\"] = subcluster\n 164→\ti[\"subCluster\"] = subcluster\n 165→\ti[\"displayType\"] = \"LIST\"\n 166→\n 167→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n 168→\tif from != \"\" || to != \"\" {\n 169→\t\ti[\"from\"] = from\n 170→\t\ti[\"to\"] = to\n 171→\t}\n 172→\treturn i\n 173→}\n 174→\n 175→func setupNodeRoute(i InfoType, r *http.Request) InfoType {\n 176→\tcluster := chi.URLParam(r, \"cluster\")\n 177→\thostname := chi.URLParam(r, \"hostname\")\n 178→\ti[\"cluster\"] = cluster\n 179→\ti[\"hostname\"] = hostname\n 180→\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n 181→\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n 182→\tif from != \"\" && to != \"\" {\n 183→\t\ti[\"from\"] = from\n 184→\t\ti[\"to\"] = to\n 185→\t}\n 186→\treturn i\n 187→}\n 188→\n 189→func setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n 190→\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n 191→\treturn i\n 192→}\n 193→\n 194→func setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n 195→\tjobRepo := repository.GetJobRepository()\n 196→\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n 197→\ttagMap := make(map[string][]map[string]any)\n 198→\tif err != nil {\n 199→\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n 200→\t\ti[\"tagmap\"] = tagMap\n 201→\t\treturn i\n 202→\t}\n 203→\t// Reduces displayed tags for unauth'd users\n 204→\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n 205→\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n 206→\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n 207→\t\tfor _, tag := range tags {\n 208→\t\t\ttagItem := map[string]any{\n 209→\t\t\t\t\"id\": tag.ID,\n 210→\t\t\t\t\"name\": tag.Name,\n 211→\t\t\t\t\"scope\": tag.Scope,\n 212→\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n 213→\t\t\t}\n 214→\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n 215→\t\t}\n 216→\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\n 217→\t\tfor _, tag := range tags {\n 218→\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n 219→\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n 220→\t\t\t\ttagItem := map[string]any{\n 221→\t\t\t\t\t\"id\": tag.ID,\n 222→\t\t\t\t\t\"name\": tag.Name,\n 223→\t\t\t\t\t\"scope\": tag.Scope,\n 224→\t\t\t\t\t\"count\": tagCount,\n 225→\t\t\t\t}\n 226→\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n 227→\t\t\t}\n 228→\t\t}\n 229→\t} // auth < 2 return nothing for this route\n 230→\n 231→\ti[\"tagmap\"] = tagMap\n 232→\treturn i\n 233→}\n 234→\n 235→// FIXME: Lots of redundant code. Needs refactoring\n 236→func buildFilterPresets(query url.Values) map[string]any {\n 237→\tfilterPresets := map[string]any{}\n 238→\n 239→\tif query.Get(\"cluster\") != \"\" {\n 240→\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n 241→\t}\n 242→\tif query.Get(\"partition\") != \"\" {\n 243→\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n 244→\t}\n 245→\tif query.Get(\"project\") != \"\" {\n 246→\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n 247→\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n 248→\t}\n 249→\tif query.Get(\"jobName\") != \"\" {\n 250→\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n 251→\t}\n 252→\tif len(query[\"user\"]) != 0 {\n 253→\t\tif len(query[\"user\"]) == 1 {\n 254→\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n 255→\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n 256→\t\t} else {\n 257→\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n 258→\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n 259→\t\t}\n 260→\t}\n 261→\tif len(query[\"state\"]) != 0 {\n 262→\t\tfilterPresets[\"state\"] = query[\"state\"]\n 263→\t}\n 264→\tif query.Get(\"shared\") != \"\" {\n 265→\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n 266→\t}\n 267→\tif query.Get(\"schedule\") != \"\" {\n 268→\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n 269→\t}\n 270→\tif rawtags, ok := query[\"tag\"]; ok {\n 271→\t\ttags := make([]int, len(rawtags))\n 272→\t\tfor i, tid := range rawtags {\n 273→\t\t\tvar err error\n 274→\t\t\ttags[i], err = strconv.Atoi(tid)\n 275→\t\t\tif err != nil {\n 276→\t\t\t\ttags[i] = -1\n 277→\t\t\t}\n 278→\t\t}\n 279→\t\tfilterPresets[\"tags\"] = tags\n 280→\t}\n 281→\tif query.Get(\"duration\") != \"\" {\n 282→\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n 283→\t\tif len(parts) == 2 {\n 284→\t\t\tif parts[0] == \"lessthan\" {\n 285→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 286→\t\t\t\tif lte == nil {\n 287→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n 288→\t\t\t\t}\n 289→\t\t\t} else if parts[0] == \"morethan\" {\n 290→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 291→\t\t\t\tif mte == nil {\n 292→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n 293→\t\t\t\t}\n 294→\t\t\t} else {\n 295→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 296→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 297→\t\t\t\tif e1 == nil && e2 == nil {\n 298→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n 299→\t\t\t\t}\n 300→\t\t\t}\n 301→\t\t}\n 302→\t}\n 303→\tif query.Get(\"node\") != \"\" {\n 304→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 305→\t}\n 306→\tif query.Get(\"numNodes\") != \"\" {\n 307→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 308→\t\tif len(parts) == 2 {\n 309→\t\t\tif parts[0] == \"lessthan\" {\n 310→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 311→\t\t\t\tif lte == nil {\n 312→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 313→\t\t\t\t}\n 314→\t\t\t} else if parts[0] == \"morethan\" {\n 315→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 316→\t\t\t\tif mte == nil {\n 317→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n 318→\t\t\t\t}\n 319→\t\t\t} else {\n 320→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 321→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 322→\t\t\t\tif e1 == nil && e2 == nil {\n 323→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n 324→\t\t\t\t}\n 325→\t\t\t}\n 326→\t\t}\n 327→\t}\n 328→\tif query.Get(\"numHWThreads\") != \"\" {\n 329→\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n 330→\t\tif len(parts) == 2 {\n 331→\t\t\tif parts[0] == \"lessthan\" {\n 332→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 333→\t\t\t\tif lte == nil {\n 334→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n 335→\t\t\t\t}\n 336→\t\t\t} else if parts[0] == \"morethan\" {\n 337→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 338→\t\t\t\tif mte == nil {\n 339→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n 340→\t\t\t\t}\n 341→\t\t\t} else {\n 342→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 343→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 344→\t\t\t\tif e1 == nil && e2 == nil {\n 345→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n 346→\t\t\t\t}\n 347→\t\t\t}\n 348→\t\t}\n 349→\t}\n 350→\tif query.Get(\"numAccelerators\") != \"\" {\n 351→\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n 352→\t\tif len(parts) == 2 {\n 353→\t\t\tif parts[0] == \"lessthan\" {\n 354→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 355→\t\t\t\tif lte == nil {\n 356→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n 357→\t\t\t\t}\n 358→\t\t\t} else if parts[0] == \"morethan\" {\n 359→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 360→\t\t\t\tif mte == nil {\n 361→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n 362→\t\t\t\t}\n 363→\t\t\t} else {\n 364→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 365→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 366→\t\t\t\tif e1 == nil && e2 == nil {\n 367→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n 368→\t\t\t\t}\n 369→\t\t\t}\n 370→\t\t}\n 371→\t}\n 372→\tif len(query[\"dbId\"]) != 0 {\n 373→\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n 374→\t}\n 375→\tif query.Get(\"jobId\") != \"\" {\n 376→\t\tif len(query[\"jobId\"]) == 1 {\n 377→\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n 378→\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n 379→\t\t} else {\n 380→\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n 381→\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n 382→\t\t}\n 383→\t}\n 384→\tif query.Get(\"arrayJobId\") != \"\" {\n 385→\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n 386→\t\t\tfilterPresets[\"arrayJobId\"] = num\n 387→\t\t}\n 388→\t}\n 389→\tif query.Get(\"startTime\") != \"\" {\n 390→\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n 391→\t\tif len(parts) == 2 { // Time in seconds, from - to\n 392→\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n 393→\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n 394→\t\t\tif e1 == nil && e2 == nil {\n 395→\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 396→\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n 397→\t\t\t\t\t\"to\": time.Unix(b, 0).Format(time.RFC3339),\n 398→\t\t\t\t}\n 399→\t\t\t}\n 400→\t\t} else { // named range\n 401→\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 402→\t\t\t\t\"range\": query.Get(\"startTime\"),\n 403→\t\t\t}\n 404→\t\t}\n 405→\t}\n 406→\tif query.Get(\"energy\") != \"\" {\n 407→\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n 408→\t\tif len(parts) == 2 {\n 409→\t\t\tif parts[0] == \"lessthan\" {\n 410→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 411→\t\t\t\tif lte == nil {\n 412→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n 413→\t\t\t\t}\n 414→\t\t\t} else if parts[0] == \"morethan\" {\n 415→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 416→\t\t\t\tif mte == nil {\n 417→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n 418→\t\t\t\t}\n 419→\t\t\t} else {\n 420→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 421→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 422→\t\t\t\tif e1 == nil && e2 == nil {\n 423→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n 424→\t\t\t\t}\n 425→\t\t\t}\n 426→\t\t}\n 427→\t}\n 428→\tif len(query[\"stat\"]) != 0 {\n 429→\t\tstatList := make([]map[string]any, 0)\n 430→\t\tfor _, statEntry := range query[\"stat\"] {\n 431→\t\t\tparts := strings.Split(statEntry, \"-\")\n 432→\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n 433→\t\t\t\tif parts[1] == \"lessthan\" {\n 434→\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n 435→\t\t\t\t\tif lte == nil {\n 436→\t\t\t\t\t\tstatEntry := map[string]any{\n 437→\t\t\t\t\t\t\t\"field\": parts[0],\n 438→\t\t\t\t\t\t\t\"from\": 1,\n 439→\t\t\t\t\t\t\t\"to\": lt,\n 440→\t\t\t\t\t\t}\n 441→\t\t\t\t\t\tstatList = append(statList, statEntry)\n 442→\t\t\t\t\t}\n 443→\t\t\t\t} else if parts[1] == \"morethan\" {\n 444→\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n 445→\t\t\t\t\tif mte == nil {\n 446→\t\t\t\t\t\tstatEntry := map[string]any{\n 447→\t\t\t\t\t\t\t\"field\": parts[0],\n 448→\t\t\t\t\t\t\t\"from\": mt,\n 449→\t\t\t\t\t\t\t\"to\": 0,\n 450→\t\t\t\t\t\t}\n 451→\t\t\t\t\t\tstatList = append(statList, statEntry)\n 452→\t\t\t\t\t}\n 453→\t\t\t\t} else {\n 454→\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n 455→\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n 456→\t\t\t\t\tif e1 == nil && e2 == nil {\n 457→\t\t\t\t\t\tstatEntry := map[string]any{\n 458→\t\t\t\t\t\t\t\"field\": parts[0],\n 459→\t\t\t\t\t\t\t\"from\": a,\n 460→\t\t\t\t\t\t\t\"to\": b,\n 461→\t\t\t\t\t\t}\n 462→\t\t\t\t\t\tstatList = append(statList, statEntry)\n 463→\t\t\t\t\t}\n 464→\t\t\t\t}\n 465→\t\t\t}\n 466→\t\t}\n 467→\t\tfilterPresets[\"stats\"] = statList\n 468→\t}\n 469→\treturn filterPresets\n 470→}\n 471→\n 472→func SetupRoutes(router chi.Router, buildInfo web.Build) {\n 473→\tuserCfgRepo := repository.GetUserCfgRepo()\n 474→\tfor _, route := range routes {\n 475→\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n 476→\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n 477→\t\t\tif err != nil {\n 478→\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n 479→\t\t\t\treturn\n 480→\t\t\t}\n 481→\n 482→\t\t\ttitle := route.Title\n 483→\t\t\tinfos := route.Setup(map[string]any{}, r)\n 484→\t\t\tif id, ok := infos[\"id\"]; ok {\n 485→\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n 486→\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n 487→\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n 488→\t\t\t\t}\n 489→\t\t\t}\n 490→\n 491→\t\t\t// Get User -> What if NIL?\n 492→\t\t\tuser := repository.GetUserFromContext(r.Context())\n 493→\n 494→\t\t\t// Get Roles\n 495→\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n 496→\n 497→\t\t\tresampling := resamplingForUser(conf)\n 498→\n 499→\t\t\tpage := web.Page{\n 500→\t\t\t\tTitle: title,\n 501→\t\t\t\tUser: *user,\n 502→\t\t\t\tRoles: availableRoles,\n 503→\t\t\t\tBuild: buildInfo,\n 504→\t\t\t\tConfig: conf,\n 505→\t\t\t\tResampling: resampling,\n 506→\t\t\t\tInfos: infos,\n 507→\t\t\t}\n 508→\n 509→\t\t\tif route.Filter {\n 510→\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n 511→\t\t\t}\n 512→\n 513→\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n 514→\t\t})\n 515→\t}\n 516→}\n 517→\n 518→func HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n 519→\tuser := repository.GetUserFromContext(r.Context())\n 520→\tavailableRoles, _ := schema.GetValidRolesMap(user)\n 521→\n 522→\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n 523→\t\trepo := repository.GetJobRepository()\n 524→\t\tsplitSearch := strings.Split(search, \":\")\n 525→\n 526→\t\tif len(splitSearch) == 2 {\n 527→\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n 528→\t\t\tcase \"jobId\":\n 529→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n 530→\t\t\tcase \"jobName\":\n 531→\t\t\t\t// Add Last 30 Days to migitate timeouts\n 532→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n 533→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n 534→\n 535→\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\n 536→\t\t\tcase \"projectId\":\n 537→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n 538→\t\t\tcase \"arrayJobId\":\n 539→\t\t\t\t// Add Last 30 Days to migitate timeouts\n 540→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n 541→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n 542→\n 543→\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\n 544→\t\t\tcase \"username\":\n 545→\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 546→\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n 547→\t\t\t\t} else {\n 548→\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})\n 549→\t\t\t\t}\n 550→\t\t\tcase \"name\":\n 551→\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n 552→\t\t\t\tif len(usernames) != 0 {\n 553→\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n 554→\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n 555→\t\t\t\t} else {\n 556→\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 557→\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n 558→\t\t\t\t\t} else {\n 559→\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})\n 560→\t\t\t\t\t}\n 561→\t\t\t\t}\n 562→\t\t\tdefault:\n 563→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n 564→\t\t\t}\n 565→\t\t} else if len(splitSearch) == 1 {\n 566→\n 567→\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n 568→\n 569→\t\t\tif jobid != \"\" {\n 570→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n 571→\t\t\t} else if username != \"\" {\n 572→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n 573→\t\t\t} else if project != \"\" {\n 574→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n 575→\t\t\t} else if jobname != \"\" {\n 576→\t\t\t\t// Add Last 30 Days to migitate timeouts\n 577→\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n 578→\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n 579→\n 580→\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n 581→\t\t\t} else {\n 582→\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n 583→\t\t\t}\n 584→\n 585→\t\t} else {\n 586→\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n 587→\t\t}\n 588→\t} else {\n 589→\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n 590→\t}\n 591→}\n 592→\n 593→// resamplingForUser returns a ResampleConfig that incorporates the user's\n 594→// resample policy preference. If the user has a policy set, it creates a\n 595→// policy-derived config with targetPoints and trigger. Otherwise falls back\n 596→// to the global config.\n 597→func resamplingForUser(conf map[string]any) *config.ResampleConfig {\n 598→\tglobalCfg := config.Keys.EnableResampling\n 599→\n 600→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n 601→\tif !ok {\n 602→\t\treturn globalCfg\n 603→\t}\n 604→\tpolicyStr, ok := policyVal.(string)\n 605→\tif !ok || policyStr == \"\" {\n 606→\t\treturn globalCfg\n 607→\t}\n 608→\n 609→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n 610→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n 611→\tif targetPoints == 0 {\n 612→\t\treturn globalCfg\n 613→\t}\n 614→\n 615→\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n 616→\treturn &config.ResampleConfig{\n 617→\t\tTargetPoints: targetPoints,\n 618→\t\tTrigger: targetPoints / 4,\n 619→\t}\n 620→}\n 621→"}]},"uuid":"3d66b3d8-f3fc-4bfe-bea1-feb39e24dc09","timestamp":"2026-03-20T06:24:45.569Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.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.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute string\n\tTemplate string\n\tTitle string\n\tFilter bool\n\tSetup func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\": tag.ID,\n\t\t\t\t\"name\": tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\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\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\": tag.ID,\n\t\t\t\t\t\"name\": tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\": time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\": 1,\n\t\t\t\t\t\t\t\"to\": lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\": mt,\n\t\t\t\t\t\t\t\"to\": 0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\": a,\n\t\t\t\t\t\t\t\"to\": b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle: title,\n\t\t\t\tUser: *user,\n\t\t\t\tRoles: availableRoles,\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tConfig: conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos: infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\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\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\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\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\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})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\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})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n\n// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger: targetPoints / 4,\n\t}\n}\n","numLines":621,"startLine":1,"totalLines":621}},"sourceToolAssistantUUID":"a536e984-17c9-4cb2-aa55-f4ad71147e33","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"3d66b3d8-f3fc-4bfe-bea1-feb39e24dc09","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01423QsvqH8tmQjz7epM9rUw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MChXScCDcv9j2WbghSHYPQ","name":"Grep","input":{"pattern":"Resolutions|slices\\.Max|EnableResampling\\.Resolutions|EnableResampling\\.Trigger","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","output_mode":"content","-C":5},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1321,"cache_creation_input_tokens":16091,"cache_read_input_tokens":20215,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16091},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVK8VUHa11K4QToUXf","type":"assistant","uuid":"ed5e1456-ff56-4872-bec9-0db95eb1e0e3","timestamp":"2026-03-20T06:24:51.093Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ed5e1456-ff56-4872-bec9-0db95eb1e0e3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01MChXScCDcv9j2WbghSHYPQ","toolUseID":"toolu_01MChXScCDcv9j2WbghSHYPQ","timestamp":"2026-03-20T06:24:51.103Z","uuid":"de8818b2-9018-411f-91cf-28d0838babfa","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ed5e1456-ff56-4872-bec9-0db95eb1e0e3","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MChXScCDcv9j2WbghSHYPQ","type":"tool_result","content":"509-\tif resolution == nil {\n510-\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n511-\t}\n512-\tif resolution == nil {\n513-\t\tif config.Keys.EnableResampling != nil {\n514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n515-\t\t\tresolution = &defaultRes\n516-\t\t} else {\n517-\t\t\tdefaultRes := 0\n518-\t\t\tresolution = &defaultRes\n519-\t\t}\n--\n884-\tif resolution == nil {\n885-\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n886-\t}\n887-\tif resolution == nil {\n888-\t\tif config.Keys.EnableResampling != nil {\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n890-\t\t\tresolution = &defaultRes\n891-\t\t} else {\n892-\t\t\tdefaultRes := 0\n893-\t\t\tresolution = &defaultRes\n894-\t\t}"}]},"uuid":"2412d8b1-6f12-4af0-bd3b-9b5edbd82d99","timestamp":"2026-03-20T06:24:51.103Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"509-\tif resolution == nil {\n510-\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n511-\t}\n512-\tif resolution == nil {\n513-\t\tif config.Keys.EnableResampling != nil {\n514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n515-\t\t\tresolution = &defaultRes\n516-\t\t} else {\n517-\t\t\tdefaultRes := 0\n518-\t\t\tresolution = &defaultRes\n519-\t\t}\n--\n884-\tif resolution == nil {\n885-\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n886-\t}\n887-\tif resolution == nil {\n888-\t\tif config.Keys.EnableResampling != nil {\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n890-\t\t\tresolution = &defaultRes\n891-\t\t} else {\n892-\t\t\tdefaultRes := 0\n893-\t\t\tresolution = &defaultRes\n894-\t\t}","numLines":23},"sourceToolAssistantUUID":"ed5e1456-ff56-4872-bec9-0db95eb1e0e3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"2412d8b1-6f12-4af0-bd3b-9b5edbd82d99","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01423QsvqH8tmQjz7epM9rUw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BoJnLwmkWURHAoSP2ueeE7","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1321,"cache_creation_input_tokens":16091,"cache_read_input_tokens":20215,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16091},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVK8VUHa11K4QToUXf","type":"assistant","uuid":"9d999e80-3a8c-4e8b-bc61-870e7e76a7e4","timestamp":"2026-03-20T06:24:51.616Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"9d999e80-3a8c-4e8b-bc61-870e7e76a7e4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01BoJnLwmkWURHAoSP2ueeE7","toolUseID":"toolu_01BoJnLwmkWURHAoSP2ueeE7","timestamp":"2026-03-20T06:24:51.621Z","uuid":"ba2cafb6-8d6a-4d07-9366-d0e108b5b36b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"9d999e80-3a8c-4e8b-bc61-870e7e76a7e4","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BoJnLwmkWURHAoSP2ueeE7","type":"tool_result","content":" 1→{\n 2→ \"main\": {\n 3→ \"addr\": \"127.0.0.1:8080\"\n 4→ },\n 5→ \"cron\": {\n 6→ \"commit-job-worker\": \"1m\",\n 7→ \"duration-worker\": \"3m\",\n 8→ \"footprint-worker\": \"5m\"\n 9→ },\n 10→ \"auth\": {\n 11→ \"jwts\": {\n 12→ \"max-age\": \"2000h\"\n 13→ }\n 14→ },\n 15→ \"metric-store-external\": [\n 16→ {\n 17→ \"scope\": \"fritz\",\n 18→ \"url\": \"http://0.0.0.0:8082\",\n 19→ \"token\": \"REDACTED\"\n 20→ }\n 21→ ],\n 22→ \"resampling\": {\n 23→ \"minimum-points\": 0,\n 24→ \"resolutions\": [600, 300, 60],\n 25→ \"trigger\": 300\n 26→ },\n 27→ \"metric-store\": {\n 28→ \"retention-in-memory\": \"24h\",\n 29→ \"memory-cap\": 100\n 30→ }\n 31→}\n 32→"}]},"uuid":"85c76580-1a62-4726-97ce-e062badf2daf","timestamp":"2026-03-20T06:24:51.621Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","content":"{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"3m\",\n \"footprint-worker\": \"5m\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"fritz\",\n \"url\": \"http://0.0.0.0:8082\",\n \"token\": \"REDACTED\"\n }\n ],\n \"resampling\": {\n \"minimum-points\": 0,\n \"resolutions\": [600, 300, 60],\n \"trigger\": 300\n },\n \"metric-store\": {\n \"retention-in-memory\": \"24h\",\n \"memory-cap\": 100\n }\n}\n","numLines":32,"startLine":1,"totalLines":32}},"sourceToolAssistantUUID":"9d999e80-3a8c-4e8b-bc61-870e7e76a7e4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"85c76580-1a62-4726-97ce-e062badf2daf","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01423QsvqH8tmQjz7epM9rUw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018h1go9GeRzN7mVoRY4ZHFt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1321,"cache_creation_input_tokens":16091,"cache_read_input_tokens":20215,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16091},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVK8VUHa11K4QToUXf","type":"assistant","uuid":"63a4c330-2d81-4435-9c07-a3676b0e2210","timestamp":"2026-03-20T06:24:52.073Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"63a4c330-2d81-4435-9c07-a3676b0e2210","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_018h1go9GeRzN7mVoRY4ZHFt","toolUseID":"toolu_018h1go9GeRzN7mVoRY4ZHFt","timestamp":"2026-03-20T06:24:52.078Z","uuid":"09bad911-5eea-4c85-9f3e-b21b02797ed2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"63a4c330-2d81-4435-9c07-a3676b0e2210","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018h1go9GeRzN7mVoRY4ZHFt","type":"tool_result","content":" 1→{\n 2→ \"main\": {\n 3→ \"addr\": \"0.0.0.0:443\",\n 4→ \"https-cert-file\": \"/etc/letsencrypt/live/url/fullchain.pem\",\n 5→ \"https-key-file\": \"/etc/letsencrypt/live/url/privkey.pem\",\n 6→ \"user\": \"clustercockpit\",\n 7→ \"group\": \"clustercockpit\",\n 8→ \"api-allowed-ips\": [\"*\"],\n 9→ \"short-running-jobs-duration\": 300,\n 10→ \"enable-job-taggers\": true,\n 11→ \"nodestate-retention\": {\n 12→ \"policy\": \"move\",\n 13→ \"target-kind\": \"file\",\n 14→ \"target-path\": \"./var/nodestate-archive\"\n 15→ },\n 16→ \"resampling\": {\n 17→ \"minimum-points\": 600,\n 18→ \"trigger\": 180,\n 19→ \"resolutions\": [240, 60]\n 20→ },\n 21→ \"api-subjects\": {\n 22→ \"subject-job-event\": \"cc.job.event\",\n 23→ \"subject-node-state\": \"cc.node.state\"\n 24→ }\n 25→ },\n 26→ \"nats\": {\n 27→ \"address\": \"nats://0.0.0.0:4222\",\n 28→ \"username\": \"root\",\n 29→ \"password\": \"root\"\n 30→ },\n 31→ \"auth\": {\n 32→ \"jwts\": {\n 33→ \"max-age\": \"2000h\"\n 34→ }\n 35→ },\n 36→ \"cron\": {\n 37→ \"commit-job-worker\": \"1m\",\n 38→ \"duration-worker\": \"5m\",\n 39→ \"footprint-worker\": \"10m\"\n 40→ },\n 41→ \"archive\": {\n 42→ \"kind\": \"s3\",\n 43→ \"endpoint\": \"http://x.x.x.x\",\n 44→ \"bucket\": \"jobarchive\",\n 45→ \"access-key\": \"xx\",\n 46→ \"secret-key\": \"xx\",\n 47→ \"retention\": {\n 48→ \"policy\": \"move\",\n 49→ \"age\": 365,\n 50→ \"location\": \"./var/archive\"\n 51→ }\n 52→ },\n 53→ \"metric-store-external\": [\n 54→ {\n 55→ \"scope\": \"*\",\n 56→ \"url\": \"http://x.x.x.x:8082\",\n 57→ \"token\": \"MySecret\"\n 58→ },\n 59→ {\n 60→ \"scope\": \"fritz\",\n 61→ \"url\": \"http://x.x.x.x:8084\",\n 62→ \"token\": \"MySecret\"\n 63→ },\n 64→ {\n 65→ \"scope\": \"fritz-spr1tb\",\n 66→ \"url\": \"http://x.x.x.x:8083\",\n 67→ \"token\": \"MySecret\"\n 68→ },\n 69→ {\n 70→ \"scope\": \"alex\",\n 71→ \"url\": \"http://x.x.x.x:8084\",\n 72→ \"token\": \"MySecret\"\n 73→ }\n 74→ ],\n 75→ \"metric-store\": {\n 76→ \"checkpoints\": {\n 77→ \"directory\": \"./var/checkpoints\"\n 78→ },\n 79→ \"memory-cap\": 100,\n 80→ \"retention-in-memory\": \"24h\",\n 81→ \"cleanup\": {\n 82→ \"mode\": \"archive\",\n 83→ \"directory\": \"./var/archive\"\n 84→ },\n 85→ \"nats-subscriptions\": [\n 86→ {\n 87→ \"subscribe-to\": \"hpc-nats\",\n 88→ \"cluster-tag\": \"fritz\"\n 89→ },\n 90→ {\n 91→ \"subscribe-to\": \"hpc-nats\",\n 92→ \"cluster-tag\": \"alex\"\n 93→ }\n 94→ ]\n 95→ },\n 96→ \"ui-file\": \"ui-config.json\"\n 97→}\n 98→"}]},"uuid":"ca440286-196a-4942-b678-66bf464d2744","timestamp":"2026-03-20T06:24:52.078Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json","content":"{\n \"main\": {\n \"addr\": \"0.0.0.0:443\",\n \"https-cert-file\": \"/etc/letsencrypt/live/url/fullchain.pem\",\n \"https-key-file\": \"/etc/letsencrypt/live/url/privkey.pem\",\n \"user\": \"clustercockpit\",\n \"group\": \"clustercockpit\",\n \"api-allowed-ips\": [\"*\"],\n \"short-running-jobs-duration\": 300,\n \"enable-job-taggers\": true,\n \"nodestate-retention\": {\n \"policy\": \"move\",\n \"target-kind\": \"file\",\n \"target-path\": \"./var/nodestate-archive\"\n },\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"archive\": {\n \"kind\": \"s3\",\n \"endpoint\": \"http://x.x.x.x\",\n \"bucket\": \"jobarchive\",\n \"access-key\": \"xx\",\n \"secret-key\": \"xx\",\n \"retention\": {\n \"policy\": \"move\",\n \"age\": 365,\n \"location\": \"./var/archive\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"*\",\n \"url\": \"http://x.x.x.x:8082\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"fritz\",\n \"url\": \"http://x.x.x.x:8084\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"fritz-spr1tb\",\n \"url\": \"http://x.x.x.x:8083\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"alex\",\n \"url\": \"http://x.x.x.x:8084\",\n \"token\": \"MySecret\"\n }\n ],\n \"metric-store\": {\n \"checkpoints\": {\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"24h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"fritz\"\n },\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"alex\"\n }\n ]\n },\n \"ui-file\": \"ui-config.json\"\n}\n","numLines":98,"startLine":1,"totalLines":98}},"sourceToolAssistantUUID":"63a4c330-2d81-4435-9c07-a3676b0e2210","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ca440286-196a-4942-b678-66bf464d2744","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01423QsvqH8tmQjz7epM9rUw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KVesaduBy4RoKQdbDq52mq","name":"Grep","input":{"pattern":"TargetPointsForPolicy|ComputeResolution|ResamplePolicy","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch","output_mode":"content","-C":3},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1321,"cache_creation_input_tokens":16091,"cache_read_input_tokens":20215,"output_tokens":400,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":16091,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrVK8VUHa11K4QToUXf","type":"assistant","uuid":"52860183-4233-4b6b-8fa8-744a65c09a90","timestamp":"2026-03-20T06:24:52.701Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"52860183-4233-4b6b-8fa8-744a65c09a90","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVesaduBy4RoKQdbDq52mq","toolUseID":"toolu_01KVesaduBy4RoKQdbDq52mq","timestamp":"2026-03-20T06:24:52.712Z","uuid":"f90b01a0-541f-42ad-9fe2-2717c73987ff","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"52860183-4233-4b6b-8fa8-744a65c09a90","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KVesaduBy4RoKQdbDq52mq","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-7-import \"math\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-8-\ninternal/metricdispatch/resamplepolicy.go:9:type ResamplePolicy string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-10-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-11-const (\ninternal/metricdispatch/resamplepolicy.go:12:\tResamplePolicyLow ResamplePolicy = \"low\"\ninternal/metricdispatch/resamplepolicy.go:13:\tResamplePolicyMedium ResamplePolicy = \"medium\"\ninternal/metricdispatch/resamplepolicy.go:14:\tResamplePolicyHigh ResamplePolicy = \"high\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-15-)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-16-\ninternal/metricdispatch/resamplepolicy.go:17:// TargetPointsForPolicy returns the target number of data points for a given policy.\ninternal/metricdispatch/resamplepolicy.go:18:func TargetPointsForPolicy(policy ResamplePolicy) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-19-\tswitch policy {\ninternal/metricdispatch/resamplepolicy.go:20:\tcase ResamplePolicyLow:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-21-\t\treturn 200\ninternal/metricdispatch/resamplepolicy.go:22:\tcase ResamplePolicyMedium:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-23-\t\treturn 500\ninternal/metricdispatch/resamplepolicy.go:24:\tcase ResamplePolicyHigh:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-25-\t\treturn 1000\ninternal/metricdispatch/resamplepolicy.go-26-\tdefault:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-27-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-28-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-29-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-30-\ninternal/metricdispatch/resamplepolicy.go:31:// ComputeResolution computes the resampling resolution in seconds for a given\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-32-// job duration, metric frequency, and target point count. Returns 0 if the\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-33-// total number of data points is already at or below targetPoints (no resampling needed).\ninternal/metricdispatch/resamplepolicy.go:34:func ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-35-\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-36-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-37-\t}\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-7-import \"testing\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-8-\ninternal/metricdispatch/resamplepolicy_test.go:9:func TestTargetPointsForPolicy(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-10-\ttests := []struct {\ninternal/metricdispatch/resamplepolicy_test.go:11:\t\tpolicy ResamplePolicy\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-12-\t\twant int\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-13-\t}{\ninternal/metricdispatch/resamplepolicy_test.go:14:\t\t{ResamplePolicyLow, 200},\ninternal/metricdispatch/resamplepolicy_test.go:15:\t\t{ResamplePolicyMedium, 500},\ninternal/metricdispatch/resamplepolicy_test.go:16:\t\t{ResamplePolicyHigh, 1000},\ninternal/metricdispatch/resamplepolicy_test.go:17:\t\t{ResamplePolicy(\"unknown\"), 0},\ninternal/metricdispatch/resamplepolicy_test.go:18:\t\t{ResamplePolicy(\"\"), 0},\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-19-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-20-\ninternal/metricdispatch/resamplepolicy_test.go-21-\tfor _, tt := range tests {\ninternal/metricdispatch/resamplepolicy_test.go:22:\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:23:\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-24-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-25-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-26-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-27-\ninternal/metricdispatch/resamplepolicy_test.go:28:func TestComputeResolution(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-29-\ttests := []struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-30-\t\tname string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-31-\t\tduration int64\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-58-\ninternal/metricdispatch/resamplepolicy_test.go-59-\tfor _, tt := range tests {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-60-\t\tt.Run(tt.name, func(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go:61:\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-62-\t\t\tif got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:63:\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-64-\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-65-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-66-\t\t})"}]},"uuid":"20c7f47c-d622-4baa-8c3e-a554831fd4ac","timestamp":"2026-03-20T06:24:52.712Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-7-import \"math\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-8-\ninternal/metricdispatch/resamplepolicy.go:9:type ResamplePolicy string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-10-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-11-const (\ninternal/metricdispatch/resamplepolicy.go:12:\tResamplePolicyLow ResamplePolicy = \"low\"\ninternal/metricdispatch/resamplepolicy.go:13:\tResamplePolicyMedium ResamplePolicy = \"medium\"\ninternal/metricdispatch/resamplepolicy.go:14:\tResamplePolicyHigh ResamplePolicy = \"high\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-15-)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-16-\ninternal/metricdispatch/resamplepolicy.go:17:// TargetPointsForPolicy returns the target number of data points for a given policy.\ninternal/metricdispatch/resamplepolicy.go:18:func TargetPointsForPolicy(policy ResamplePolicy) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-19-\tswitch policy {\ninternal/metricdispatch/resamplepolicy.go:20:\tcase ResamplePolicyLow:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-21-\t\treturn 200\ninternal/metricdispatch/resamplepolicy.go:22:\tcase ResamplePolicyMedium:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-23-\t\treturn 500\ninternal/metricdispatch/resamplepolicy.go:24:\tcase ResamplePolicyHigh:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-25-\t\treturn 1000\ninternal/metricdispatch/resamplepolicy.go-26-\tdefault:\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-27-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-28-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-29-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-30-\ninternal/metricdispatch/resamplepolicy.go:31:// ComputeResolution computes the resampling resolution in seconds for a given\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-32-// job duration, metric frequency, and target point count. Returns 0 if the\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-33-// total number of data points is already at or below targetPoints (no resampling needed).\ninternal/metricdispatch/resamplepolicy.go:34:func ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-35-\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-36-\t\treturn 0\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go-37-\t}\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-6-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-7-import \"testing\"\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-8-\ninternal/metricdispatch/resamplepolicy_test.go:9:func TestTargetPointsForPolicy(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-10-\ttests := []struct {\ninternal/metricdispatch/resamplepolicy_test.go:11:\t\tpolicy ResamplePolicy\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-12-\t\twant int\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-13-\t}{\ninternal/metricdispatch/resamplepolicy_test.go:14:\t\t{ResamplePolicyLow, 200},\ninternal/metricdispatch/resamplepolicy_test.go:15:\t\t{ResamplePolicyMedium, 500},\ninternal/metricdispatch/resamplepolicy_test.go:16:\t\t{ResamplePolicyHigh, 1000},\ninternal/metricdispatch/resamplepolicy_test.go:17:\t\t{ResamplePolicy(\"unknown\"), 0},\ninternal/metricdispatch/resamplepolicy_test.go:18:\t\t{ResamplePolicy(\"\"), 0},\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-19-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-20-\ninternal/metricdispatch/resamplepolicy_test.go-21-\tfor _, tt := range tests {\ninternal/metricdispatch/resamplepolicy_test.go:22:\t\tif got := TargetPointsForPolicy(tt.policy); got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:23:\t\t\tt.Errorf(\"TargetPointsForPolicy(%q) = %d, want %d\", tt.policy, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-24-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-25-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-26-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-27-\ninternal/metricdispatch/resamplepolicy_test.go:28:func TestComputeResolution(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go-29-\ttests := []struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-30-\t\tname string\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-31-\t\tduration int64\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-58-\ninternal/metricdispatch/resamplepolicy_test.go-59-\tfor _, tt := range tests {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-60-\t\tt.Run(tt.name, func(t *testing.T) {\ninternal/metricdispatch/resamplepolicy_test.go:61:\t\t\tgot := ComputeResolution(tt.duration, tt.frequency, tt.targetPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-62-\t\t\tif got != tt.want {\ninternal/metricdispatch/resamplepolicy_test.go:63:\t\t\t\tt.Errorf(\"ComputeResolution(%d, %d, %d) = %d, want %d\",\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-64-\t\t\t\t\ttt.duration, tt.frequency, tt.targetPoints, got, tt.want)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-65-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go-66-\t\t})","numLines":69},"sourceToolAssistantUUID":"52860183-4233-4b6b-8fa8-744a65c09a90","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"20c7f47c-d622-4baa-8c3e-a554831fd4ac","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HLrEoc7D1NWZmBGVrYEM3B","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EosCCkYICxgCKkCnlnsdAWm2gwedv+mOGyAPj83QLoqDlWaHBrTsDkd7p1MxUb7gZUmn5LSzXozU0N8Z74o/WWBHsreq5Eo7crvAEgxNjB6XA6+dM9sXd0MaDKrhNkXjtAGjtvCr3yIwS5KGRIJK8KxKnchJtjNvGSLwau0cRFONAlIoS8Atj5aUy+FgJLJuGrfzHfLIMPiMKnOzGlvruNc+kiG44D5KOhez4vwjg87F9oRlvEQrHX+VYCRoCZmu2gq3/w0ABC3NyGtzlHYoQ0IC5hjjcCVin00UcP37I+QeaBMORFWe27T6SomSR5Z2G2KUcBMbk+djQDnbNk3dbvzF1kGEInpPokOrDGSpGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6281,"cache_read_input_tokens":36306,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6281},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVqfXpbYyN96vuXwmc","type":"assistant","uuid":"5f8d4ffa-743b-4653-a681-4756da598776","timestamp":"2026-03-20T06:24:57.427Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"5f8d4ffa-743b-4653-a681-4756da598776","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HLrEoc7D1NWZmBGVrYEM3B","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the relevant sections of schema.resolvers.go more precisely."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6281,"cache_read_input_tokens":36306,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6281},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVqfXpbYyN96vuXwmc","type":"assistant","uuid":"29b70978-ab6d-4b06-9a0a-bda6e1417059","timestamp":"2026-03-20T06:24:57.867Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"29b70978-ab6d-4b06-9a0a-bda6e1417059","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HLrEoc7D1NWZmBGVrYEM3B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PCejjCht546q1yBkbR9NWB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","offset":500,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6281,"cache_read_input_tokens":36306,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6281},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrVqfXpbYyN96vuXwmc","type":"assistant","uuid":"7c869ff8-b358-4854-abee-5d2bf50436a4","timestamp":"2026-03-20T06:24:58.845Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"7c869ff8-b358-4854-abee-5d2bf50436a4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PCejjCht546q1yBkbR9NWB","toolUseID":"toolu_01PCejjCht546q1yBkbR9NWB","timestamp":"2026-03-20T06:24:58.866Z","uuid":"223144ec-c060-4e59-b5b8-a9d30e608270","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"7c869ff8-b358-4854-abee-5d2bf50436a4","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PCejjCht546q1yBkbR9NWB","type":"tool_result","content":" 500→// JobMetrics is the resolver for the jobMetrics field.\n 501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n 502→\tjob, err := r.Query().Job(ctx, id)\n 503→\tif err != nil {\n 504→\t\tcclog.Warn(\"Error while querying job for metrics\")\n 505→\t\treturn nil, err\n 506→\t}\n 507→\n 508→\t// Resolve resolution: explicit param > user policy > global config > 0\n 509→\tif resolution == nil {\n 510→\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n 511→\t}\n 512→\tif resolution == nil {\n 513→\t\tif config.Keys.EnableResampling != nil {\n 514→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 515→\t\t\tresolution = &defaultRes\n 516→\t\t} else {\n 517→\t\t\tdefaultRes := 0\n 518→\t\t\tresolution = &defaultRes\n 519→\t\t}\n 520→\t}\n 521→\n 522→\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n 523→\n 524→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n 525→\tif err != nil {\n 526→\t\tcclog.Warn(\"Error while loading job data\")\n 527→\t\treturn nil, err\n 528→\t}\n 529→"}]},"uuid":"0c501faf-f688-478e-9058-b19fe1a82820","timestamp":"2026-03-20T06:24:58.866Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n","numLines":30,"startLine":500,"totalLines":1090}},"sourceToolAssistantUUID":"7c869ff8-b358-4854-abee-5d2bf50436a4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0c501faf-f688-478e-9058-b19fe1a82820","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HLrEoc7D1NWZmBGVrYEM3B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","offset":878,"limit":25},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6281,"cache_read_input_tokens":36306,"output_tokens":269,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":6281,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrVqfXpbYyN96vuXwmc","type":"assistant","uuid":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","timestamp":"2026-03-20T06:24:59.355Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","toolUseID":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","timestamp":"2026-03-20T06:24:59.368Z","uuid":"60464961-84cc-4ec4-9ca2-b48fa3852323","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ec42WwLiaX7rTyeZ97gRAA","type":"tool_result","content":" 878→}\n 879→\n 880→// NodeMetricsList is the resolver for the nodeMetricsList field.\n 881→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n 882→\t// Resolve resolution: explicit param > user policy > global config > 0\n 883→\tduration := int64(to.Sub(from).Seconds())\n 884→\tif resolution == nil {\n 885→\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n 886→\t}\n 887→\tif resolution == nil {\n 888→\t\tif config.Keys.EnableResampling != nil {\n 889→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 890→\t\t\tresolution = &defaultRes\n 891→\t\t} else {\n 892→\t\t\tdefaultRes := 0\n 893→\t\t\tresolution = &defaultRes\n 894→\t\t}\n 895→\t}\n 896→\n 897→\tuser := repository.GetUserFromContext(ctx)\n 898→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 899→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 900→\t}\n 901→\n 902→\tnodeRepo := repository.GetNodeRepository()"}]},"uuid":"a0503494-c6ed-4113-944b-e49c94d3236d","timestamp":"2026-03-20T06:24:59.367Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()","numLines":25,"startLine":878,"totalLines":1090}},"sourceToolAssistantUUID":"86f3a99d-766e-43c4-aa22-11dfc537f0ff","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"a0503494-c6ed-4113-944b-e49c94d3236d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CVo3cc3tE7JDX3SHTzjGna","type":"message","role":"assistant","content":[{"type":"text","text":"Now I also need to check what imports are used in schema.resolvers.go for `slices`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1278,"cache_read_input_tokens":42587,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1278},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWL8YsY2mh2P9Umbrn","type":"assistant","uuid":"0f1b9ee5-2cb5-4980-bb29-d87314ab125f","timestamp":"2026-03-20T06:25:02.434Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0f1b9ee5-2cb5-4980-bb29-d87314ab125f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CVo3cc3tE7JDX3SHTzjGna","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KiyaEuHLTyknWy9vjQXfVd","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","limit":20},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1278,"cache_read_input_tokens":42587,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1278},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWL8YsY2mh2P9Umbrn","type":"assistant","uuid":"f07e168a-f320-4a9c-ada9-ee160e138c4f","timestamp":"2026-03-20T06:25:02.769Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"f07e168a-f320-4a9c-ada9-ee160e138c4f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KiyaEuHLTyknWy9vjQXfVd","toolUseID":"toolu_01KiyaEuHLTyknWy9vjQXfVd","timestamp":"2026-03-20T06:25:02.775Z","uuid":"06a34764-ffbb-4edf-9ab0-9664ce0fceeb","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"f07e168a-f320-4a9c-ada9-ee160e138c4f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KiyaEuHLTyknWy9vjQXfVd","type":"tool_result","content":" 1→package graph\n 2→\n 3→// This file will be automatically regenerated based on the schema, any resolver\n 4→// implementations\n 5→// will be copied through when generating and any unknown code will be moved to the end.\n 6→// Code generated by github.com/99designs/gqlgen version v0.17.88\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"math\"\n 13→\t\"regexp\"\n 14→\t\"slices\"\n 15→\t\"strconv\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\""}]},"uuid":"3db7b05a-c91e-432e-bc53-04acd2fc0a38","timestamp":"2026-03-20T06:25:02.775Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"","numLines":20,"startLine":1,"totalLines":1090}},"sourceToolAssistantUUID":"f07e168a-f320-4a9c-ada9-ee160e138c4f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"3db7b05a-c91e-432e-bc53-04acd2fc0a38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SKR6BBCgX2ohpgsycwALPH","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check if `slices` is used elsewhere in this file."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":351,"cache_read_input_tokens":43865,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":351},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWb7xCiyEuBSzyP11Q","type":"assistant","uuid":"778b9c31-8190-4ecc-a852-fef27dd5a060","timestamp":"2026-03-20T06:25:05.230Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"778b9c31-8190-4ecc-a852-fef27dd5a060","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SKR6BBCgX2ohpgsycwALPH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","name":"Grep","input":{"pattern":"slices\\.","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":351,"cache_read_input_tokens":43865,"output_tokens":134,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":351,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrWb7xCiyEuBSzyP11Q","type":"assistant","uuid":"984244ab-e897-4ffb-a611-477aae1ae35f","timestamp":"2026-03-20T06:25:06.204Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"984244ab-e897-4ffb-a611-477aae1ae35f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","toolUseID":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","timestamp":"2026-03-20T06:25:06.226Z","uuid":"382cc521-05a4-4e5b-925b-3408da3754c5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"984244ab-e897-4ffb-a611-477aae1ae35f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BuNeg3Z6MUYB7q2kGpoUYp","type":"tool_result","content":"514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n837:\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n838:\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)"}]},"uuid":"a790069e-5d54-46c3-9843-379896c32d04","timestamp":"2026-03-20T06:25:06.226Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"514:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n837:\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n838:\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n889:\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","numLines":4},"sourceToolAssistantUUID":"984244ab-e897-4ffb-a611-477aae1ae35f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"a790069e-5d54-46c3-9843-379896c32d04","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PTjQSEt9yne8Jomiqcvp49","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `slices` is still used on lines 837-838, so the import stays. Now I have everything I need. Let me make all the edits."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":237,"cache_read_input_tokens":44216,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":237},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWqLxfdAxCJYkfG6sd","type":"assistant","uuid":"b7741a02-494c-4b3b-a130-29af25c6311b","timestamp":"2026-03-20T06:25:20.167Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"cf6a8c24-2d5f-4bed-978d-805ae945f759","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"b7741a02-494c-4b3b-a130-29af25c6311b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PTjQSEt9yne8Jomiqcvp49","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hyk2A7vLs2QWNztfEexyQg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","old_string":"type ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}","new_string":"type ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":237,"cache_read_input_tokens":44216,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":237},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrWqLxfdAxCJYkfG6sd","type":"assistant","uuid":"cf6a8c24-2d5f-4bed-978d-805ae945f759","timestamp":"2026-03-20T06:25:25.661Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"cf6a8c24-2d5f-4bed-978d-805ae945f759","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Hyk2A7vLs2QWNztfEexyQg","toolUseID":"toolu_01Hyk2A7vLs2QWNztfEexyQg","timestamp":"2026-03-20T06:25:25.674Z","uuid":"914fdd8e-cc41-43b0-a3c1-63b8eb609f7a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"cf6a8c24-2d5f-4bed-978d-805ae945f759","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hyk2A7vLs2QWNztfEexyQg","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go has been updated successfully."}]},"uuid":"374ef12f-ce39-4657-8e42-bec494f2efce","timestamp":"2026-03-20T06:25:25.674Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","oldString":"type ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}","newString":"type ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}","originalFile":"// 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// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":108,"oldLines":10,"newStart":108,"newLines":10,"lines":[" type ResampleConfig struct {"," // Minimum number of points to trigger resampling of data"," MinimumPoints int `json:\"minimum-points\"`","- // Array of resampling target resolutions, in seconds; Example: [600,300,60]","- Resolutions []int `json:\"resolutions\"`","- // Trigger next zoom level at less than this many visible datapoints","- Trigger int `json:\"trigger\"`","+ // Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")","+ DefaultPolicy string `json:\"default-policy\"`","+ // Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")","+ DefaultAlgo string `json:\"default-algo\"`"," // Policy-derived target point count (set dynamically from user preference, not from config.json)"," TargetPoints int `json:\"targetPoints,omitempty\"`"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"cf6a8c24-2d5f-4bed-978d-805ae945f759","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"374ef12f-ce39-4657-8e42-bec494f2efce","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PTjQSEt9yne8Jomiqcvp49","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YDb2c5cwW6Ekh5KNPXHZM9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","old_string":" \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"trigger\": {\n \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n \"type\": \"integer\"\n },\n \"resolutions\": {\n \"description\": \"Array of resampling target resolutions, in seconds.\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"integer\"\n }\n }\n },\n \"required\": [\"trigger\", \"resolutions\"]\n },","new_string":" \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"default-policy\": {\n \"description\": \"Default resample policy when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"low\", \"medium\", \"high\"]\n },\n \"default-algo\": {\n \"description\": \"Default resample algorithm when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"lttb\", \"average\", \"simple\"]\n }\n }\n },"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":237,"cache_read_input_tokens":44216,"output_tokens":896,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":237,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrWqLxfdAxCJYkfG6sd","type":"assistant","uuid":"36525ed4-f935-4afd-bec2-ba15273be00a","timestamp":"2026-03-20T06:25:29.578Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"36525ed4-f935-4afd-bec2-ba15273be00a","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:25:29.596Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"36525ed4-f935-4afd-bec2-ba15273be00a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01YDb2c5cwW6Ekh5KNPXHZM9","toolUseID":"toolu_01YDb2c5cwW6Ekh5KNPXHZM9","timestamp":"2026-03-20T06:25:29.598Z","uuid":"c5a6b05e-172c-459e-9ca5-a013f7165b03","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"36525ed4-f935-4afd-bec2-ba15273be00a","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YDb2c5cwW6Ekh5KNPXHZM9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go has been updated successfully."}]},"uuid":"73a6f093-9b6a-43a8-9019-aaff727b7fc6","timestamp":"2026-03-20T06:25:29.597Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","oldString":" \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"trigger\": {\n \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n \"type\": \"integer\"\n },\n \"resolutions\": {\n \"description\": \"Array of resampling target resolutions, in seconds.\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"integer\"\n }\n }\n },\n \"required\": [\"trigger\", \"resolutions\"]\n },","newString":" \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"default-policy\": {\n \"description\": \"Default resample policy when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"low\", \"medium\", \"high\"]\n },\n \"default-algo\": {\n \"description\": \"Default resample algorithm when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"lttb\", \"average\", \"simple\"]\n }\n }\n },","originalFile":"// 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 config\n\nvar configSchema = `\n{\n \"type\": \"object\",\n \"properties\": {\n \"addr\": {\n \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n \"type\": \"string\"\n },\n \"api-allowed-ips\": {\n \"description\": \"Addresses from which secured API endpoints can be reached\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"user\": {\n \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n \"type\": \"string\"\n },\n \"group\": {\n \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n \"type\": \"string\"\n },\n \"disable-authentication\": {\n \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n \"type\": \"boolean\"\n },\n \"embed-static-files\": {\n \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n \"type\": \"boolean\"\n },\n \"static-files\": {\n \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n \"type\": \"string\"\n },\n \"db\": {\n \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n \"type\": \"string\"\n },\n \"enable-job-taggers\": {\n \"description\": \"Turn on automatic application and jobclass taggers\",\n \"type\": \"boolean\"\n },\n \"validate\": {\n \"description\": \"Validate all input json documents against json schema.\",\n \"type\": \"boolean\"\n },\n \"session-max-age\": {\n \"description\": \"Specifies for how long a session shall be valid as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n \"type\": \"string\"\n },\n \"https-cert-file\": {\n \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n \"type\": \"string\"\n },\n \"https-key-file\": {\n \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n \"type\": \"string\"\n },\n \"redirect-http-to\": {\n \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n \"type\": \"string\"\n },\n \"stop-jobs-exceeding-walltime\": {\n \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n \"type\": \"integer\"\n },\n \"short-running-jobs-duration\": {\n \"description\": \"Do not show running jobs shorter than X seconds.\",\n \"type\": \"integer\"\n },\n \"emission-constant\": {\n \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n \"type\": \"integer\"\n },\n \"machine-state-dir\": {\n \"description\": \"Where to store MachineState files.\",\n \"type\": \"string\"\n },\n \"systemd-unit\": {\n \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n \"type\": \"string\"\n },\n \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"trigger\": {\n \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n \"type\": \"integer\"\n },\n \"resolutions\": {\n \"description\": \"Array of resampling target resolutions, in seconds.\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"integer\"\n }\n }\n },\n \"required\": [\"trigger\", \"resolutions\"]\n },\n \"api-subjects\": {\n \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n \"type\": \"object\",\n \"properties\": {\n \"subject-job-event\": {\n \"description\": \"NATS subject for job events (start_job, stop_job)\",\n \"type\": \"string\"\n },\n \"subject-node-state\": {\n \"description\": \"NATS subject for node state updates\",\n \"type\": \"string\"\n },\n \"job-concurrency\": {\n \"description\": \"Number of concurrent worker goroutines for processing job events (default: 8).\",\n \"type\": \"integer\"\n },\n \"node-concurrency\": {\n \"description\": \"Number of concurrent worker goroutines for processing node state events (default: 2).\",\n \"type\": \"integer\"\n }\n },\n \"required\": [\"subject-job-event\", \"subject-node-state\"]\n },\n \"nodestate-retention\": {\n \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n \"type\": \"object\",\n \"properties\": {\n \"policy\": {\n \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n \"type\": \"string\",\n \"enum\": [\"delete\", \"move\"]\n },\n \"age\": {\n \"description\": \"Retention age in hours (default: 24).\",\n \"type\": \"integer\"\n },\n \"target-kind\": {\n \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n \"type\": \"string\",\n \"enum\": [\"file\", \"s3\"]\n },\n \"target-path\": {\n \"description\": \"Filesystem path for parquet file target.\",\n \"type\": \"string\"\n },\n \"target-endpoint\": {\n \"description\": \"S3 endpoint URL.\",\n \"type\": \"string\"\n },\n \"target-bucket\": {\n \"description\": \"S3 bucket name.\",\n \"type\": \"string\"\n },\n \"target-access-key\": {\n \"description\": \"S3 access key.\",\n \"type\": \"string\"\n },\n \"target-secret-key\": {\n \"description\": \"S3 secret key.\",\n \"type\": \"string\"\n },\n \"target-region\": {\n \"description\": \"S3 region.\",\n \"type\": \"string\"\n },\n \"target-use-path-style\": {\n \"description\": \"Use path-style S3 addressing.\",\n \"type\": \"boolean\"\n },\n \"max-file-size-mb\": {\n \"description\": \"Maximum parquet file size in MB (default: 128).\",\n \"type\": \"integer\"\n }\n },\n \"required\": [\"policy\"]\n },\n \"db-config\": {\n \"description\": \"SQLite database tuning configuration.\",\n \"type\": \"object\",\n \"properties\": {\n \"cache-size-mb\": {\n \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n \"type\": \"integer\"\n },\n \"soft-heap-limit-mb\": {\n \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n \"type\": \"integer\"\n },\n \"max-open-connections\": {\n \"description\": \"Maximum number of open database connections (default: 4).\",\n \"type\": \"integer\"\n },\n \"max-idle-connections\": {\n \"description\": \"Maximum number of idle database connections (default: 4).\",\n \"type\": \"integer\"\n },\n \"max-idle-time-minutes\": {\n \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n \"type\": \"integer\"\n },\n \"busy-timeout-ms\": {\n \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n \"type\": \"integer\"\n }\n }\n }\n }\n}`\n","structuredPatch":[{"oldStart":96,"oldLines":19,"newStart":96,"newLines":17,"lines":[" \"description\": \"Minimum points to trigger resampling of time-series data.\","," \"type\": \"integer\""," },","- \"trigger\": {","- \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",","- \"type\": \"integer\"","+ \"default-policy\": {","+ \"description\": \"Default resample policy when no user preference is set.\",","+ \"type\": \"string\",","+ \"enum\": [\"low\", \"medium\", \"high\"]"," },","- \"resolutions\": {","- \"description\": \"Array of resampling target resolutions, in seconds.\",","- \"type\": \"array\",","- \"items\": {","- \"type\": \"integer\"","- }","+ \"default-algo\": {","+ \"description\": \"Default resample algorithm when no user preference is set.\",","+ \"type\": \"string\",","+ \"enum\": [\"lttb\", \"average\", \"simple\"]"," }","- },","- \"required\": [\"trigger\", \"resolutions\"]","+ }"," },"," \"api-subjects\": {"," \"description\": \"NATS subjects configuration for subscribing to job and node events.\","]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"36525ed4-f935-4afd-bec2-ba15273be00a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"73a6f093-9b6a-43a8-9019-aaff727b7fc6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TYD4sWf1dnwvzcYvXfS5Z8","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me fix the remaining files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1297,"cache_read_input_tokens":44453,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1297},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrYZY1Vd2rqxuC6oqHT","type":"assistant","uuid":"e98a5c3b-738d-4115-bf0c-e208e5877e02","timestamp":"2026-03-20T06:25:32.090Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"0371ca5d-1566-43fa-9592-53e8258de7d2","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:25:29.596Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v1","version":1,"backupTime":"2026-03-20T06:25:38.588Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"e98a5c3b-738d-4115-bf0c-e208e5877e02","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TYD4sWf1dnwvzcYvXfS5Z8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R4CGNXQ7Evzp87JbWcX3u4","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","old_string":"\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger: targetPoints / 4,\n\t}","new_string":"\tpolicyStr := \"\"\n\tif policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]; ok {\n\t\tif s, ok := policyVal.(string); ok {\n\t\t\tpolicyStr = s\n\t\t}\n\t}\n\n\t// Fall back to global default policy, then to \"medium\"\n\tif policyStr == \"\" && globalCfg != nil {\n\t\tpolicyStr = globalCfg.DefaultPolicy\n\t}\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1297,"cache_read_input_tokens":44453,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1297},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrYZY1Vd2rqxuC6oqHT","type":"assistant","uuid":"0371ca5d-1566-43fa-9592-53e8258de7d2","timestamp":"2026-03-20T06:25:38.582Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0371ca5d-1566-43fa-9592-53e8258de7d2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01R4CGNXQ7Evzp87JbWcX3u4","toolUseID":"toolu_01R4CGNXQ7Evzp87JbWcX3u4","timestamp":"2026-03-20T06:25:38.589Z","uuid":"11e0acf5-480d-4f12-9029-9ec66093da05","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0371ca5d-1566-43fa-9592-53e8258de7d2","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R4CGNXQ7Evzp87JbWcX3u4","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go has been updated successfully."}]},"uuid":"302169e5-dd98-4216-b373-2b9d15a61818","timestamp":"2026-03-20T06:25:38.589Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","oldString":"\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger: targetPoints / 4,\n\t}","newString":"\tpolicyStr := \"\"\n\tif policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]; ok {\n\t\tif s, ok := policyVal.(string); ok {\n\t\t\tpolicyStr = s\n\t\t}\n\t}\n\n\t// Fall back to global default policy, then to \"medium\"\n\tif policyStr == \"\" && globalCfg != nil {\n\t\tpolicyStr = globalCfg.DefaultPolicy\n\t}\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t}","originalFile":"// 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.\npackage routerConfig\n\nimport (\n\t\"fmt\"\n\t\"net/http\"\n\t\"net/url\"\n\t\"os\"\n\t\"strconv\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\ntype InfoType map[string]any\n\ntype Route struct {\n\tRoute string\n\tTemplate string\n\tTitle string\n\tFilter bool\n\tSetup func(i InfoType, r *http.Request) InfoType\n}\n\nvar routes []Route = []Route{\n\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job <ID> - ClusterCockpit\", false, setupJobRoute},\n\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User <ID> - ClusterCockpit\", true, setupUserRoute},\n\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster <ID> <SID> Node List - ClusterCockpit\", false, setupClusterListRoute},\n\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node <ID> - ClusterCockpit\", false, setupNodeRoute},\n\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n\t{\"/monitoring/status/{cluster}\", \"monitoring/status.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupClusterStatusRoute},\n\t{\"/monitoring/status/detail/{cluster}\", \"monitoring/status.tmpl\", \"Status of <ID> - ClusterCockpit\", false, setupClusterDetailRoute},\n\t{\"/monitoring/dashboard/{cluster}\", \"monitoring/dashboard.tmpl\", \"<ID> Dashboard - ClusterCockpit\", false, setupDashboardRoute},\n\t{\"/monitoring/logs\", \"monitoring/logs.tmpl\", \"Logs - ClusterCockpit\", false, func(i InfoType, r *http.Request) InfoType { return i }},\n}\n\nfunc setupHomeRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\tgroupBy := model.AggregateCluster\n\n\t// startJobCount := time.Now()\n\tstats, err := jobRepo.JobCountGrouped(r.Context(), nil, &groupBy)\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startJobCount: %s\", time.Since(startJobCount))\n\n\t// startRunningJobCount := time.Now()\n\tstats, err = jobRepo.AddJobCountGrouped(r.Context(), nil, &groupBy, stats, \"running\")\n\tif err != nil {\n\t\tcclog.Warnf(\"failed to count running jobs: %s\", err.Error())\n\t}\n\t// cclog.Infof(\"Timer HOME ROUTE startRunningJobCount: %s\", time.Since(startRunningJobCount))\n\n\ti[\"clusters\"] = stats\n\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"failed to read notice.txt file: %s\", err.Error())\n\t\t} else {\n\t\t\ti[\"message\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupConfigRoute(i InfoType, r *http.Request) InfoType {\n\tif util.CheckFileExists(\"./var/notice.txt\") {\n\t\tmsg, err := os.ReadFile(\"./var/notice.txt\")\n\t\tif err == nil {\n\t\t\ti[\"ncontent\"] = string(msg)\n\t\t}\n\t}\n\n\treturn i\n}\n\nfunc setupJobRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"id\"] = chi.URLParam(r, \"id\")\n\tif config.Keys.EmissionConstant != 0 {\n\t\ti[\"emission\"] = config.Keys.EmissionConstant\n\t}\n\treturn i\n}\n\nfunc setupUserRoute(i InfoType, r *http.Request) InfoType {\n\tusername := chi.URLParam(r, \"id\")\n\ti[\"id\"] = username\n\ti[\"username\"] = username\n\t// TODO: If forbidden (== err exists), redirect to error page\n\tif user, _ := repository.GetUserRepository().FetchUserInCtx(r.Context(), username); user != nil {\n\t\ti[\"name\"] = user.Name\n\t\ti[\"email\"] = user.Email\n\t}\n\treturn i\n}\n\nfunc setupClusterStatusRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DASHBOARD\"\n\treturn i\n}\n\nfunc setupClusterDetailRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"DETAILS\"\n\treturn i\n}\n\nfunc setupDashboardRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"PUBLIC\" // Used in Main Template\n\treturn i\n}\n\nfunc setupClusterOverviewRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"displayType\"] = \"OVERVIEW\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupClusterListRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\tsubcluster := chi.URLParam(r, \"subcluster\")\n\ti[\"id\"] = cluster\n\ti[\"cluster\"] = cluster\n\ti[\"sid\"] = subcluster\n\ti[\"subCluster\"] = subcluster\n\ti[\"displayType\"] = \"LIST\"\n\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" || to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupNodeRoute(i InfoType, r *http.Request) InfoType {\n\tcluster := chi.URLParam(r, \"cluster\")\n\thostname := chi.URLParam(r, \"hostname\")\n\ti[\"cluster\"] = cluster\n\ti[\"hostname\"] = hostname\n\ti[\"id\"] = fmt.Sprintf(\"%s (%s)\", cluster, hostname)\n\tfrom, to := r.URL.Query().Get(\"from\"), r.URL.Query().Get(\"to\")\n\tif from != \"\" && to != \"\" {\n\t\ti[\"from\"] = from\n\t\ti[\"to\"] = to\n\t}\n\treturn i\n}\n\nfunc setupAnalysisRoute(i InfoType, r *http.Request) InfoType {\n\ti[\"cluster\"] = chi.URLParam(r, \"cluster\")\n\treturn i\n}\n\nfunc setupTaglistRoute(i InfoType, r *http.Request) InfoType {\n\tjobRepo := repository.GetJobRepository()\n\ttags, counts, err := jobRepo.CountTags(repository.GetUserFromContext(r.Context()))\n\ttagMap := make(map[string][]map[string]any)\n\tif err != nil {\n\t\tcclog.Warnf(\"GetTags failed: %s\", err.Error())\n\t\ti[\"tagmap\"] = tagMap\n\t\treturn i\n\t}\n\t// Reduces displayed tags for unauth'd users\n\tuserAuthlevel := repository.GetUserFromContext(r.Context()).GetAuthLevel()\n\t// Uses tag.ID as second Map-Key component to differentiate tags with identical names\n\tif userAuthlevel >= 4 { // Support+ : Show tags for all scopes, regardless of count\n\t\tfor _, tag := range tags {\n\t\t\ttagItem := map[string]any{\n\t\t\t\t\"id\": tag.ID,\n\t\t\t\t\"name\": tag.Name,\n\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n\t\t\t}\n\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t}\n\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\n\t\tfor _, tag := range tags {\n\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n\t\t\t\ttagItem := map[string]any{\n\t\t\t\t\t\"id\": tag.ID,\n\t\t\t\t\t\"name\": tag.Name,\n\t\t\t\t\t\"scope\": tag.Scope,\n\t\t\t\t\t\"count\": tagCount,\n\t\t\t\t}\n\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n\t\t\t}\n\t\t}\n\t} // auth < 2 return nothing for this route\n\n\ti[\"tagmap\"] = tagMap\n\treturn i\n}\n\n// FIXME: Lots of redundant code. Needs refactoring\nfunc buildFilterPresets(query url.Values) map[string]any {\n\tfilterPresets := map[string]any{}\n\n\tif query.Get(\"cluster\") != \"\" {\n\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n\t}\n\tif query.Get(\"partition\") != \"\" {\n\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n\t}\n\tif query.Get(\"project\") != \"\" {\n\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n\t}\n\tif query.Get(\"jobName\") != \"\" {\n\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n\t}\n\tif len(query[\"user\"]) != 0 {\n\t\tif len(query[\"user\"]) == 1 {\n\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n\t\t} else {\n\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n\t\t}\n\t}\n\tif len(query[\"state\"]) != 0 {\n\t\tfilterPresets[\"state\"] = query[\"state\"]\n\t}\n\tif query.Get(\"shared\") != \"\" {\n\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n\t}\n\tif query.Get(\"schedule\") != \"\" {\n\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n\t}\n\tif rawtags, ok := query[\"tag\"]; ok {\n\t\ttags := make([]int, len(rawtags))\n\t\tfor i, tid := range rawtags {\n\t\t\tvar err error\n\t\t\ttags[i], err = strconv.Atoi(tid)\n\t\t\tif err != nil {\n\t\t\t\ttags[i] = -1\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"tags\"] = tags\n\t}\n\tif query.Get(\"duration\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"node\") != \"\" {\n\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n\t}\n\tif query.Get(\"numNodes\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numHWThreads\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"numAccelerators\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"dbId\"]) != 0 {\n\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n\t}\n\tif query.Get(\"jobId\") != \"\" {\n\t\tif len(query[\"jobId\"]) == 1 {\n\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n\t\t} else {\n\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]\n\t\t\tfilterPresets[\"jobIdMatch\"] = \"in\"\n\t\t}\n\t}\n\tif query.Get(\"arrayJobId\") != \"\" {\n\t\tif num, err := strconv.Atoi(query.Get(\"arrayJobId\")); err == nil {\n\t\t\tfilterPresets[\"arrayJobId\"] = num\n\t\t}\n\t}\n\tif query.Get(\"startTime\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n\t\tif len(parts) == 2 { // Time in seconds, from - to\n\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n\t\t\t\t\t\"to\": time.Unix(b, 0).Format(time.RFC3339),\n\t\t\t\t}\n\t\t\t}\n\t\t} else { // named range\n\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n\t\t\t\t\"range\": query.Get(\"startTime\"),\n\t\t\t}\n\t\t}\n\t}\n\tif query.Get(\"energy\") != \"\" {\n\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n\t\tif len(parts) == 2 {\n\t\t\tif parts[0] == \"lessthan\" {\n\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n\t\t\t\tif lte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n\t\t\t\t}\n\t\t\t} else if parts[0] == \"morethan\" {\n\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n\t\t\t\tif mte == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": a, \"to\": b}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tif len(query[\"stat\"]) != 0 {\n\t\tstatList := make([]map[string]any, 0)\n\t\tfor _, statEntry := range query[\"stat\"] {\n\t\t\tparts := strings.Split(statEntry, \"-\")\n\t\t\tif len(parts) == 3 { // Metric Footprint Stat Field, from - to\n\t\t\t\tif parts[1] == \"lessthan\" {\n\t\t\t\t\tlt, lte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif lte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\": 1,\n\t\t\t\t\t\t\t\"to\": lt,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else if parts[1] == \"morethan\" {\n\t\t\t\t\tmt, mte := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif mte == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\": mt,\n\t\t\t\t\t\t\t\"to\": 0,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ta, e1 := strconv.ParseInt(parts[1], 10, 64)\n\t\t\t\t\tb, e2 := strconv.ParseInt(parts[2], 10, 64)\n\t\t\t\t\tif e1 == nil && e2 == nil {\n\t\t\t\t\t\tstatEntry := map[string]any{\n\t\t\t\t\t\t\t\"field\": parts[0],\n\t\t\t\t\t\t\t\"from\": a,\n\t\t\t\t\t\t\t\"to\": b,\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstatList = append(statList, statEntry)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tfilterPresets[\"stats\"] = statList\n\t}\n\treturn filterPresets\n}\n\nfunc SetupRoutes(router chi.Router, buildInfo web.Build) {\n\tuserCfgRepo := repository.GetUserCfgRepo()\n\tfor _, route := range routes {\n\t\trouter.HandleFunc(route.Route, func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tconf, err := userCfgRepo.GetUIConfig(repository.GetUserFromContext(r.Context()))\n\t\t\tif err != nil {\n\t\t\t\thttp.Error(rw, err.Error(), http.StatusInternalServerError)\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\ttitle := route.Title\n\t\t\tinfos := route.Setup(map[string]any{}, r)\n\t\t\tif id, ok := infos[\"id\"]; ok {\n\t\t\t\ttitle = strings.Replace(route.Title, \"<ID>\", id.(string), 1)\n\t\t\t\tif sid, ok := infos[\"sid\"]; ok { // 2nd ID element\n\t\t\t\t\ttitle = strings.Replace(title, \"<SID>\", sid.(string), 1)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Get User -> What if NIL?\n\t\t\tuser := repository.GetUserFromContext(r.Context())\n\n\t\t\t// Get Roles\n\t\t\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\t\t\tresampling := resamplingForUser(conf)\n\n\t\t\tpage := web.Page{\n\t\t\t\tTitle: title,\n\t\t\t\tUser: *user,\n\t\t\t\tRoles: availableRoles,\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tConfig: conf,\n\t\t\t\tResampling: resampling,\n\t\t\t\tInfos: infos,\n\t\t\t}\n\n\t\t\tif route.Filter {\n\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())\n\t\t\t}\n\n\t\t\tweb.RenderTemplate(rw, route.Template, &page)\n\t\t})\n\t}\n}\n\nfunc HandleSearchBar(rw http.ResponseWriter, r *http.Request, buildInfo web.Build) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tavailableRoles, _ := schema.GetValidRolesMap(user)\n\n\tif search := r.URL.Query().Get(\"searchId\"); search != \"\" {\n\t\trepo := repository.GetJobRepository()\n\t\tsplitSearch := strings.Split(search, \":\")\n\n\t\tif len(splitSearch) == 2 {\n\t\t\tswitch strings.Trim(splitSearch[0], \" \") {\n\t\t\tcase \"jobId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"jobName\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\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\n\t\t\tcase \"projectId\":\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n\t\t\tcase \"arrayJobId\":\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\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\n\t\t\tcase \"username\":\n\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\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})\n\t\t\t\t}\n\t\t\tcase \"name\":\n\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n\t\t\t\tif len(usernames) != 0 {\n\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n\t\t\t\t} else {\n\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n\t\t\t\t\t} else {\n\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})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\tdefault:\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: fmt.Sprintf(\"Unknown search type: %s\", strings.Trim(splitSearch[0], \" \")), User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\t\t} else if len(splitSearch) == 1 {\n\n\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n\n\t\t\tif jobid != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n\t\t\t} else if username != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n\t\t\t} else if project != \"\" {\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n\t\t\t} else if jobname != \"\" {\n\t\t\t\t// Add Last 30 Days to migitate timeouts\n\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 10)\n\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n\n\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)\n\t\t\t} else {\n\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Info\", MsgType: \"alert-info\", Message: \"Search without result\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t\t}\n\n\t\t} else {\n\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Searchbar query parameters malformed\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t\t}\n\t} else {\n\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Warning\", MsgType: \"alert-warning\", Message: \"Empty search\", User: *user, Roles: availableRoles, Build: buildInfo})\n\t}\n}\n\n// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn globalCfg\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn globalCfg\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\t// Build a policy-derived config: targetPoints + trigger, no resolutions array\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t\tTrigger: targetPoints / 4,\n\t}\n}\n","structuredPatch":[{"oldStart":597,"oldLines":14,"newStart":597,"newLines":20,"lines":[" func resamplingForUser(conf map[string]any) *config.ResampleConfig {"," globalCfg := config.Keys.EnableResampling"," ","- policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]","- if !ok {","- return globalCfg","+ policyStr := \"\"","+ if policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]; ok {","+ if s, ok := policyVal.(string); ok {","+ policyStr = s","+ }"," }","- policyStr, ok := policyVal.(string)","- if !ok || policyStr == \"\" {","- return globalCfg","+","+ // Fall back to global default policy, then to \"medium\"","+ if policyStr == \"\" && globalCfg != nil {","+ policyStr = globalCfg.DefaultPolicy"," }","+ if policyStr == \"\" {","+ policyStr = \"medium\"","+ }"," "," policy := metricdispatch.ResamplePolicy(policyStr)"," targetPoints := metricdispatch.TargetPointsForPolicy(policy)"]},{"oldStart":612,"oldLines":9,"newStart":618,"newLines":7,"lines":[" return globalCfg"," }"," ","- // Build a policy-derived config: targetPoints + trigger, no resolutions array"," return &config.ResampleConfig{"," TargetPoints: targetPoints,","- Trigger: targetPoints / 4,"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0371ca5d-1566-43fa-9592-53e8258de7d2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"ccf841e7-210d-49d6-860b-05fabf65db67","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:25:29.596Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v1","version":1,"backupTime":"2026-03-20T06:25:38.588Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-20T06:25:41.015Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"302169e5-dd98-4216-b373-2b9d15a61818","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TYD4sWf1dnwvzcYvXfS5Z8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019oov9R6JzmhWg4cMnXTQ8J","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","old_string":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)","new_string":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1297,"cache_read_input_tokens":44453,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1297},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrYZY1Vd2rqxuC6oqHT","type":"assistant","uuid":"ccf841e7-210d-49d6-860b-05fabf65db67","timestamp":"2026-03-20T06:25:41.005Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ccf841e7-210d-49d6-860b-05fabf65db67","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019oov9R6JzmhWg4cMnXTQ8J","toolUseID":"toolu_019oov9R6JzmhWg4cMnXTQ8J","timestamp":"2026-03-20T06:25:41.018Z","uuid":"5a11328e-2b16-422b-be7c-674d5b519fb9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ccf841e7-210d-49d6-860b-05fabf65db67","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019oov9R6JzmhWg4cMnXTQ8J","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"995ece89-d0d1-4fd3-90bb-670daa4f6656","timestamp":"2026-03-20T06:25:41.018Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)","newString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (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\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tNodeState: nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tNodeState: nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":511,"oldLines":9,"newStart":511,"newLines":9,"lines":[" }"," if resolution == nil {"," if config.Keys.EnableResampling != nil {","- defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","- resolution = &defaultRes","- } else {","+ resolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)","+ }","+ if resolution == nil {"," defaultRes := 0"," resolution = &defaultRes"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ccf841e7-210d-49d6-860b-05fabf65db67","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"995ece89-d0d1-4fd3-90bb-670daa4f6656","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TYD4sWf1dnwvzcYvXfS5Z8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018Aj2JmDbcJX1JuetkmRYR3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","old_string":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)","new_string":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(duration, cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1297,"cache_read_input_tokens":44453,"output_tokens":1126,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1297,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrYZY1Vd2rqxuC6oqHT","type":"assistant","uuid":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","timestamp":"2026-03-20T06:25:43.294Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018Aj2JmDbcJX1JuetkmRYR3","toolUseID":"toolu_018Aj2JmDbcJX1JuetkmRYR3","timestamp":"2026-03-20T06:25:43.302Z","uuid":"33bf667b-e2fd-4524-9df0-6641c638f21a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018Aj2JmDbcJX1JuetkmRYR3","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"1269b01e-5ee3-48f7-8fdb-6659aa8aa908","timestamp":"2026-03-20T06:25:43.302Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)","newString":"\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(duration, cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (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\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tnodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tNodeState: nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tduration := int64(to.Sub(from).Seconds())\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tNodeState: nodeStateMap[hostname],\n\t\t\tMetricHealth: metricHealthMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":886,"oldLines":9,"newStart":886,"newLines":9,"lines":[" }"," if resolution == nil {"," if config.Keys.EnableResampling != nil {","- defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)","- resolution = &defaultRes","- } else {","+ resolution = resolveResolutionFromDefaultPolicy(duration, cluster, metrics)","+ }","+ if resolution == nil {"," defaultRes := 0"," resolution = &defaultRes"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ff57d8e9-ed96-44ba-b969-1ccb4bdb8574","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"1269b01e-5ee3-48f7-8fdb-6659aa8aa908","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TM1WUonbwgPq8Jpu9rux7M","type":"message","role":"assistant","content":[{"type":"text","text":"I see line 889 still references the old code — there must be a second occurrence. Let me check."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1795,"cache_read_input_tokens":45750,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1795},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrZa5XdQ8LUu9pt19b4","type":"assistant","uuid":"351b1ae0-2282-4695-9386-826e88cfc337","timestamp":"2026-03-20T06:25:47.325Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"351b1ae0-2282-4695-9386-826e88cfc337","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TM1WUonbwgPq8Jpu9rux7M","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q5bHXPPTsePWP8EE3pK2FV","name":"Grep","input":{"pattern":"Resolutions","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","output_mode":"content","-C":3},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1795,"cache_read_input_tokens":45750,"output_tokens":159,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1795,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrZa5XdQ8LUu9pt19b4","type":"assistant","uuid":"b625a1d6-c192-4dd4-9352-43ac56a37670","timestamp":"2026-03-20T06:25:47.899Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"b625a1d6-c192-4dd4-9352-43ac56a37670","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01Q5bHXPPTsePWP8EE3pK2FV","toolUseID":"toolu_01Q5bHXPPTsePWP8EE3pK2FV","timestamp":"2026-03-20T06:25:47.926Z","uuid":"3e7e8ef8-2d62-4eb2-9693-6f7140728967","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"b625a1d6-c192-4dd4-9352-43ac56a37670","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q5bHXPPTsePWP8EE3pK2FV","type":"tool_result","content":"No matches found"}]},"uuid":"4e16c97f-dce0-4faf-8ee8-65cc586a4125","timestamp":"2026-03-20T06:25:47.926Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"","numLines":0},"sourceToolAssistantUUID":"b625a1d6-c192-4dd4-9352-43ac56a37670","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"4e16c97f-dce0-4faf-8ee8-65cc586a4125","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011rnTDJ2oGNqw1RUSNLUwj7","type":"message","role":"assistant","content":[{"type":"text","text":"Good, the LSP was stale. Now I need to add `resolveResolutionFromDefaultPolicy` to `resample.go` and update `resolveResampleAlgo` to fall back to config default."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":246,"cache_read_input_tokens":47545,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":246},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrZugVYdmz6fGdU7fTP","type":"assistant","uuid":"831cfd47-f010-4b19-a073-cd19af724883","timestamp":"2026-03-20T06:25:51.407Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"b05ea225-09d6-4902-8314-26f158fbdde8","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:25:29.596Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v1","version":1,"backupTime":"2026-03-20T06:25:38.588Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-20T06:25:41.015Z"},"internal/graph/resample.go":{"backupFileName":"ebda0e4c62a80f65@v1","version":1,"backupTime":"2026-03-20T06:25:54.028Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"831cfd47-f010-4b19-a073-cd19af724883","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011rnTDJ2oGNqw1RUSNLUwj7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D8oruSBiJxVpLPxEibq3ix","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","old_string":"import (\n\t\"context\"\n\t\"strings\"\n\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)","new_string":"import (\n\t\"context\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":246,"cache_read_input_tokens":47545,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":246},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrZugVYdmz6fGdU7fTP","type":"assistant","uuid":"b05ea225-09d6-4902-8314-26f158fbdde8","timestamp":"2026-03-20T06:25:54.017Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"b05ea225-09d6-4902-8314-26f158fbdde8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01D8oruSBiJxVpLPxEibq3ix","toolUseID":"toolu_01D8oruSBiJxVpLPxEibq3ix","timestamp":"2026-03-20T06:25:54.030Z","uuid":"6e7d24ce-87c1-4b91-a5ee-7f9ca632410b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"b05ea225-09d6-4902-8314-26f158fbdde8","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D8oruSBiJxVpLPxEibq3ix","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go has been updated successfully."}]},"uuid":"0e5bce49-25c5-480b-9b2e-89c92db376a2","timestamp":"2026-03-20T06:25:54.030Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","oldString":"import (\n\t\"context\"\n\t\"strings\"\n\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)","newString":"import (\n\t\"context\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)","originalFile":"// 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.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" \"context\""," \"strings\""," ","+ \"github.com/ClusterCockpit/cc-backend/internal/config\""," \"github.com/ClusterCockpit/cc-backend/internal/graph/model\""," \"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\""," \"github.com/ClusterCockpit/cc-backend/internal/repository\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b05ea225-09d6-4902-8314-26f158fbdde8","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0e5bce49-25c5-480b-9b2e-89c92db376a2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011rnTDJ2oGNqw1RUSNLUwj7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PmpVvouJJaWSedp1UQBZ8U","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","old_string":"\treturn algoStr\n}\n\n// smallestFrequency","new_string":"\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":246,"cache_read_input_tokens":47545,"output_tokens":842,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":246,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrZugVYdmz6fGdU7fTP","type":"assistant","uuid":"4ff06107-a8f2-450e-b02c-99dbfdbd83fa","timestamp":"2026-03-20T06:25:58.573Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"4ff06107-a8f2-450e-b02c-99dbfdbd83fa","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01PmpVvouJJaWSedp1UQBZ8U","toolUseID":"toolu_01PmpVvouJJaWSedp1UQBZ8U","timestamp":"2026-03-20T06:25:58.588Z","uuid":"e6873ece-b32f-4b7a-b815-e00cb53aab55","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"4ff06107-a8f2-450e-b02c-99dbfdbd83fa","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PmpVvouJJaWSedp1UQBZ8U","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go has been updated successfully."}]},"uuid":"82be66f2-d74c-40b5-bd97-8e674341a34a","timestamp":"2026-03-20T06:25:58.587Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","oldString":"\treturn algoStr\n}\n\n// smallestFrequency","newString":"\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency","originalFile":"// 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.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\treturn algoStr\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[{"oldStart":80,"oldLines":9,"newStart":80,"newLines":42,"lines":[" return \"\""," }"," ","+ // Fall back to global default algo","+ if config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {","+ return config.Keys.EnableResampling.DefaultAlgo","+ }","+"," return algoStr"," }"," ","+// resolveResolutionFromDefaultPolicy computes a resolution using the global","+// default policy from config. Returns nil if no policy is configured.","+func resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {","+ cfg := config.Keys.EnableResampling","+ if cfg == nil {","+ return nil","+ }","+","+ policyStr := cfg.DefaultPolicy","+ if policyStr == \"\" {","+ policyStr = \"medium\"","+ }","+","+ policy := metricdispatch.ResamplePolicy(policyStr)","+ targetPoints := metricdispatch.TargetPointsForPolicy(policy)","+ if targetPoints == 0 {","+ return nil","+ }","+","+ frequency := smallestFrequency(cluster, metrics)","+ if frequency <= 0 {","+ return nil","+ }","+","+ res := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)","+ return &res","+}","+"," // smallestFrequency returns the smallest metric timestep (in seconds) among the"," // requested metrics for the given cluster. Falls back to 0 if nothing is found."," func smallestFrequency(cluster string, metrics []string) int {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4ff06107-a8f2-450e-b02c-99dbfdbd83fa","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"82be66f2-d74c-40b5-bd97-8e674341a34a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PThdk52Hk3j2dsBDnip5o4","type":"message","role":"assistant","content":[{"type":"text","text":"The import error is transient — `config` is used further down but the LSP might not see it yet. Let me verify the file looks correct."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1049,"cache_read_input_tokens":47791,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1049},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrahH9D9qaafquDaeEu","type":"assistant","uuid":"395051d3-4e95-4297-bfcc-5617ed856b20","timestamp":"2026-03-20T06:26:13.367Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"395051d3-4e95-4297-bfcc-5617ed856b20","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PThdk52Hk3j2dsBDnip5o4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LzSsa1XhoMmQnksCv7vcdg","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1049,"cache_read_input_tokens":47791,"output_tokens":111,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1049,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrahH9D9qaafquDaeEu","type":"assistant","uuid":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","timestamp":"2026-03-20T06:26:13.530Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LzSsa1XhoMmQnksCv7vcdg","toolUseID":"toolu_01LzSsa1XhoMmQnksCv7vcdg","timestamp":"2026-03-20T06:26:13.537Z","uuid":"e667ede9-0485-4c19-b5f5-aaec8fe2c56f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LzSsa1XhoMmQnksCv7vcdg","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→package graph\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"strings\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 16→)\n 17→\n 18→// resolveResolutionFromPolicy reads the user's resample policy preference and\n 19→// computes a resolution based on job duration and metric frequency. Returns nil\n 20→// if the user has no policy set.\n 21→func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n 22→\tuser := repository.GetUserFromContext(ctx)\n 23→\tif user == nil {\n 24→\t\treturn nil\n 25→\t}\n 26→\n 27→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n 28→\tif err != nil {\n 29→\t\treturn nil\n 30→\t}\n 31→\n 32→\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n 33→\tif !ok {\n 34→\t\treturn nil\n 35→\t}\n 36→\tpolicyStr, ok := policyVal.(string)\n 37→\tif !ok || policyStr == \"\" {\n 38→\t\treturn nil\n 39→\t}\n 40→\n 41→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n 42→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n 43→\tif targetPoints == 0 {\n 44→\t\treturn nil\n 45→\t}\n 46→\n 47→\t// Find the smallest metric frequency across the requested metrics\n 48→\tfrequency := smallestFrequency(cluster, metrics)\n 49→\tif frequency <= 0 {\n 50→\t\treturn nil\n 51→\t}\n 52→\n 53→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n 54→\treturn &res\n 55→}\n 56→\n 57→// resolveResampleAlgo returns the resampling algorithm name to use, checking\n 58→// the explicit GraphQL parameter first, then the user's preference.\n 59→func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n 60→\tif resampleAlgo != nil {\n 61→\t\treturn strings.ToLower(resampleAlgo.String())\n 62→\t}\n 63→\n 64→\tuser := repository.GetUserFromContext(ctx)\n 65→\tif user == nil {\n 66→\t\treturn \"\"\n 67→\t}\n 68→\n 69→\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n 70→\tif err != nil {\n 71→\t\treturn \"\"\n 72→\t}\n 73→\n 74→\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n 75→\tif !ok {\n 76→\t\treturn \"\"\n 77→\t}\n 78→\talgoStr, ok := algoVal.(string)\n 79→\tif !ok {\n 80→\t\treturn \"\"\n 81→\t}\n 82→\n 83→\t// Fall back to global default algo\n 84→\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n 85→\t\treturn config.Keys.EnableResampling.DefaultAlgo\n 86→\t}\n 87→\n 88→\treturn algoStr\n 89→}\n 90→\n 91→// resolveResolutionFromDefaultPolicy computes a resolution using the global\n 92→// default policy from config. Returns nil if no policy is configured.\n 93→func resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n 94→\tcfg := config.Keys.EnableResampling\n 95→\tif cfg == nil {\n 96→\t\treturn nil\n 97→\t}\n 98→\n 99→\tpolicyStr := cfg.DefaultPolicy\n 100→\tif policyStr == \"\" {\n 101→\t\tpolicyStr = \"medium\"\n 102→\t}\n 103→\n 104→\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n 105→\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n 106→\tif targetPoints == 0 {\n 107→\t\treturn nil\n 108→\t}\n 109→\n 110→\tfrequency := smallestFrequency(cluster, metrics)\n 111→\tif frequency <= 0 {\n 112→\t\treturn nil\n 113→\t}\n 114→\n 115→\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n 116→\treturn &res\n 117→}\n 118→\n 119→// smallestFrequency returns the smallest metric timestep (in seconds) among the\n 120→// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n 121→func smallestFrequency(cluster string, metrics []string) int {\n 122→\tcl := archive.GetCluster(cluster)\n 123→\tif cl == nil {\n 124→\t\treturn 0\n 125→\t}\n 126→\n 127→\tminFreq := 0\n 128→\tfor _, mc := range cl.MetricConfig {\n 129→\t\tif len(metrics) > 0 {\n 130→\t\t\tfound := false\n 131→\t\t\tfor _, m := range metrics {\n 132→\t\t\t\tif mc.Name == m {\n 133→\t\t\t\t\tfound = true\n 134→\t\t\t\t\tbreak\n 135→\t\t\t\t}\n 136→\t\t\t}\n 137→\t\t\tif !found {\n 138→\t\t\t\tcontinue\n 139→\t\t\t}\n 140→\t\t}\n 141→\t\tif minFreq == 0 || mc.Timestep < minFreq {\n 142→\t\t\tminFreq = mc.Timestep\n 143→\t\t}\n 144→\t}\n 145→\n 146→\treturn minFreq\n 147→}\n 148→"}]},"uuid":"5e134656-61d5-4e95-b4b3-854c7688ab9c","timestamp":"2026-03-20T06:26:13.537Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.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.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","numLines":148,"startLine":1,"totalLines":148}},"sourceToolAssistantUUID":"2ff3b954-1905-49e7-956f-06bbc6e6e14e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"5e134656-61d5-4e95-b4b3-854c7688ab9c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Xdjxv6W9sbirn74YNai5E","type":"message","role":"assistant","content":[{"type":"text","text":"The fallback logic in `resolveResampleAlgo` is wrong — I placed the config fallback before the `return algoStr`. It should only fall back when the user has no preference. Let me fix the logic:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1898,"cache_read_input_tokens":48840,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1898},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrboD7ekHb5ZVVTRmiP","type":"assistant","uuid":"f1121308-a121-4744-a61b-45bfd6e1df98","timestamp":"2026-03-20T06:26:17.986Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"f1121308-a121-4744-a61b-45bfd6e1df98","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Xdjxv6W9sbirn74YNai5E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0166Ltwumxvcy4dXeu9NZE7S","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","old_string":"\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr","new_string":"\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif ok {\n\t\tif algoStr, ok := algoVal.(string); ok && algoStr != \"\" {\n\t\t\treturn algoStr\n\t\t}\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn \"\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1898,"cache_read_input_tokens":48840,"output_tokens":418,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1898,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrboD7ekHb5ZVVTRmiP","type":"assistant","uuid":"dd70b0a4-97b7-4705-9bd6-3673b27fc2f2","timestamp":"2026-03-20T06:26:20.364Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"dd70b0a4-97b7-4705-9bd6-3673b27fc2f2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_0166Ltwumxvcy4dXeu9NZE7S","toolUseID":"toolu_0166Ltwumxvcy4dXeu9NZE7S","timestamp":"2026-03-20T06:26:20.381Z","uuid":"89d54b93-8560-4b4c-b717-e3deb3b8ddac","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"dd70b0a4-97b7-4705-9bd6-3673b27fc2f2","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0166Ltwumxvcy4dXeu9NZE7S","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go has been updated successfully."}]},"uuid":"0598fa09-8289-461e-ba6a-46733e0fed3a","timestamp":"2026-03-20T06:26:20.380Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","oldString":"\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr","newString":"\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif ok {\n\t\tif algoStr, ok := algoVal.(string); ok && algoStr != \"\" {\n\t\t\treturn algoStr\n\t\t}\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn \"\"","originalFile":"// 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.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\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/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif !ok {\n\t\treturn \"\"\n\t}\n\talgoStr, ok := algoVal.(string)\n\tif !ok {\n\t\treturn \"\"\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn algoStr\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","structuredPatch":[{"oldStart":72,"oldLines":20,"newStart":72,"newLines":18,"lines":[" }"," "," algoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]","- if !ok {","- return \"\"","+ if ok {","+ if algoStr, ok := algoVal.(string); ok && algoStr != \"\" {","+ return algoStr","+ }"," }","- algoStr, ok := algoVal.(string)","- if !ok {","- return \"\"","- }"," "," // Fall back to global default algo"," if config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {"," return config.Keys.EnableResampling.DefaultAlgo"," }"," ","- return algoStr","+ return \"\""," }"," "," // resolveResolutionFromDefaultPolicy computes a resolution using the global"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"dd70b0a4-97b7-4705-9bd6-3673b27fc2f2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0598fa09-8289-461e-ba6a-46733e0fed3a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KGu9VbUdYnszfUmLFHQf8v","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the config files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":462,"cache_read_input_tokens":50738,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":462},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrcJevDajuLb6Lk45ES","type":"assistant","uuid":"3eb2ca32-1e10-4bf1-ad13-c6baf82fd752","timestamp":"2026-03-20T06:26:23.753Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"cb23ccdb-3bd9-4b78-8711-3e940379936f","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:25:29.596Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v1","version":1,"backupTime":"2026-03-20T06:25:38.588Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-20T06:25:41.015Z"},"internal/graph/resample.go":{"backupFileName":"ebda0e4c62a80f65@v1","version":1,"backupTime":"2026-03-20T06:25:54.028Z"},"config.json":{"backupFileName":"4f18bd07111ea8d1@v1","version":1,"backupTime":"2026-03-20T06:26:26.028Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"3eb2ca32-1e10-4bf1-ad13-c6baf82fd752","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KGu9VbUdYnszfUmLFHQf8v","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C767VL4L6SZNn6T9pJb8Us","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","old_string":" \"resampling\": {\n \"minimum-points\": 0,\n \"resolutions\": [600, 300, 60],\n \"trigger\": 300\n },","new_string":" \"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n },"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":462,"cache_read_input_tokens":50738,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":462},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrcJevDajuLb6Lk45ES","type":"assistant","uuid":"cb23ccdb-3bd9-4b78-8711-3e940379936f","timestamp":"2026-03-20T06:26:26.023Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"cb23ccdb-3bd9-4b78-8711-3e940379936f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01C767VL4L6SZNn6T9pJb8Us","toolUseID":"toolu_01C767VL4L6SZNn6T9pJb8Us","timestamp":"2026-03-20T06:26:26.029Z","uuid":"393f59b8-22d1-4456-be50-83abffe518d0","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"cb23ccdb-3bd9-4b78-8711-3e940379936f","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C767VL4L6SZNn6T9pJb8Us","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/config.json has been updated successfully."}]},"uuid":"f446d011-a63b-43c8-aa4d-74a94cfc37b8","timestamp":"2026-03-20T06:26:26.029Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","oldString":" \"resampling\": {\n \"minimum-points\": 0,\n \"resolutions\": [600, 300, 60],\n \"trigger\": 300\n },","newString":" \"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n },","originalFile":"{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"3m\",\n \"footprint-worker\": \"5m\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"fritz\",\n \"url\": \"http://0.0.0.0:8082\",\n \"token\": \"REDACTED\"\n }\n ],\n \"resampling\": {\n \"minimum-points\": 0,\n \"resolutions\": [600, 300, 60],\n \"trigger\": 300\n },\n \"metric-store\": {\n \"retention-in-memory\": \"24h\",\n \"memory-cap\": 100\n }\n}\n","structuredPatch":[{"oldStart":20,"oldLines":9,"newStart":20,"newLines":8,"lines":[" }"," ],"," \"resampling\": {","- \"minimum-points\": 0,","- \"resolutions\": [600, 300, 60],","- \"trigger\": 300","+ \"default-policy\": \"medium\",","+ \"default-algo\": \"lttb\""," },"," \"metric-store\": {"," \"retention-in-memory\": \"24h\","]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"cb23ccdb-3bd9-4b78-8711-3e940379936f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"56602e90-b080-4479-b1d9-5dc80b2b549a","snapshot":{"messageId":"95b13fbc-d76f-4b33-9c91-2f54df4aa6e5","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v1","version":1,"backupTime":"2026-03-20T06:25:25.670Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-20T06:25:29.596Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v1","version":1,"backupTime":"2026-03-20T06:25:38.588Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-20T06:25:41.015Z"},"internal/graph/resample.go":{"backupFileName":"ebda0e4c62a80f65@v1","version":1,"backupTime":"2026-03-20T06:25:54.028Z"},"config.json":{"backupFileName":"4f18bd07111ea8d1@v1","version":1,"backupTime":"2026-03-20T06:26:26.028Z"},"configs/config.json":{"backupFileName":"ffc48788801499b0@v1","version":1,"backupTime":"2026-03-20T06:26:27.623Z"}},"timestamp":"2026-03-20T06:24:39.753Z"},"isSnapshotUpdate":true}
{"parentUuid":"f446d011-a63b-43c8-aa4d-74a94cfc37b8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KGu9VbUdYnszfUmLFHQf8v","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G5duSX23VqqWpDk6GXKezf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json","old_string":" \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },","new_string":" \"resampling\": {\n \"minimum-points\": 600,\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n },"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":462,"cache_read_input_tokens":50738,"output_tokens":404,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":462,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrcJevDajuLb6Lk45ES","type":"assistant","uuid":"56602e90-b080-4479-b1d9-5dc80b2b549a","timestamp":"2026-03-20T06:26:27.613Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"56602e90-b080-4479-b1d9-5dc80b2b549a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01G5duSX23VqqWpDk6GXKezf","toolUseID":"toolu_01G5duSX23VqqWpDk6GXKezf","timestamp":"2026-03-20T06:26:27.624Z","uuid":"887548ea-d815-49fd-b17b-070764a7a310","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"56602e90-b080-4479-b1d9-5dc80b2b549a","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G5duSX23VqqWpDk6GXKezf","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json has been updated successfully."}]},"uuid":"71af4701-2f31-49f0-8214-1867f9ba4f47","timestamp":"2026-03-20T06:26:27.624Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json","oldString":" \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },","newString":" \"resampling\": {\n \"minimum-points\": 600,\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n },","originalFile":"{\n \"main\": {\n \"addr\": \"0.0.0.0:443\",\n \"https-cert-file\": \"/etc/letsencrypt/live/url/fullchain.pem\",\n \"https-key-file\": \"/etc/letsencrypt/live/url/privkey.pem\",\n \"user\": \"clustercockpit\",\n \"group\": \"clustercockpit\",\n \"api-allowed-ips\": [\"*\"],\n \"short-running-jobs-duration\": 300,\n \"enable-job-taggers\": true,\n \"nodestate-retention\": {\n \"policy\": \"move\",\n \"target-kind\": \"file\",\n \"target-path\": \"./var/nodestate-archive\"\n },\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"archive\": {\n \"kind\": \"s3\",\n \"endpoint\": \"http://x.x.x.x\",\n \"bucket\": \"jobarchive\",\n \"access-key\": \"xx\",\n \"secret-key\": \"xx\",\n \"retention\": {\n \"policy\": \"move\",\n \"age\": 365,\n \"location\": \"./var/archive\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"*\",\n \"url\": \"http://x.x.x.x:8082\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"fritz\",\n \"url\": \"http://x.x.x.x:8084\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"fritz-spr1tb\",\n \"url\": \"http://x.x.x.x:8083\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"alex\",\n \"url\": \"http://x.x.x.x:8084\",\n \"token\": \"MySecret\"\n }\n ],\n \"metric-store\": {\n \"checkpoints\": {\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"24h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"fritz\"\n },\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"alex\"\n }\n ]\n },\n \"ui-file\": \"ui-config.json\"\n}\n","structuredPatch":[{"oldStart":15,"oldLines":8,"newStart":15,"newLines":8,"lines":[" },"," \"resampling\": {"," \"minimum-points\": 600,","- \"trigger\": 180,","- \"resolutions\": [240, 60]","+ \"default-policy\": \"medium\",","+ \"default-algo\": \"lttb\""," },"," \"api-subjects\": {"," \"subject-job-event\": \"cc.job.event\","]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"56602e90-b080-4479-b1d9-5dc80b2b549a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"71af4701-2f31-49f0-8214-1867f9ba4f47","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VdGiw1zdqHH8PmaEFpaNhj","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it compiles."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":698,"cache_read_input_tokens":51200,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":698},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrcqQr1rizjGHxq3YTn","type":"assistant","uuid":"c91a684c-c460-4209-80fd-3dc46cba1e16","timestamp":"2026-03-20T06:26:41.920Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"c91a684c-c460-4209-80fd-3dc46cba1e16","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VdGiw1zdqHH8PmaEFpaNhj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Eu2Bf7A4ETDFkUA7Jok7Sx","name":"Bash","input":{"command":"go build ./...","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":698,"cache_read_input_tokens":51200,"output_tokens":119,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":698,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrcqQr1rizjGHxq3YTn","type":"assistant","uuid":"72ffeb66-98d9-4a0a-936f-0c09f894faee","timestamp":"2026-03-20T06:26:42.426Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"72ffeb66-98d9-4a0a-936f-0c09f894faee","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Eu2Bf7A4ETDFkUA7Jok7Sx","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"058a5333-5f65-44fb-b2c9-16cddbf40ca3","timestamp":"2026-03-20T06:26:48.677Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"72ffeb66-98d9-4a0a-936f-0c09f894faee","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"058a5333-5f65-44fb-b2c9-16cddbf40ca3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XY9gGKBbpyQoGvqLrQXLzX","type":"message","role":"assistant","content":[{"type":"text","text":"Compiles cleanly. Let me run the relevant tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":118,"cache_read_input_tokens":51898,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":118},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDrePRTgZFHm3n9wuaKu","type":"assistant","uuid":"2ba9600b-20a6-45c4-8bd1-f26a7da807f7","timestamp":"2026-03-20T06:26:52.080Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"2ba9600b-20a6-45c4-8bd1-f26a7da807f7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XY9gGKBbpyQoGvqLrQXLzX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SSQz7uoz7pJsFrqwb2QqH3","name":"Bash","input":{"command":"go test ./internal/metricdispatch/... ./internal/config/...","description":"Run resample policy and config tests","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":118,"cache_read_input_tokens":51898,"output_tokens":123,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":118,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrePRTgZFHm3n9wuaKu","type":"assistant","uuid":"97d86bd8-8699-43a9-9613-b291d39d72e8","timestamp":"2026-03-20T06:26:53.131Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"97d86bd8-8699-43a9-9613-b291d39d72e8","isSidechain":false,"promptId":"c3f542cb-4fe2-4b91-a8a5-c26c99151d6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SSQz7uoz7pJsFrqwb2QqH3","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/metricdispatch\t0.874s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/config\t0.536s","is_error":false}]},"uuid":"0a2759c5-0f8e-46ab-992d-70e34baa7bd2","timestamp":"2026-03-20T06:26:55.017Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/metricdispatch\t0.874s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/config\t0.536s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"97d86bd8-8699-43a9-9613-b291d39d72e8","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0a2759c5-0f8e-46ab-992d-70e34baa7bd2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NA242j8caRLng1WcrvZp44","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of the changes:\n\n### Changes made\n\n1. **`internal/config/config.go`** — Replaced `Resolutions []int` and `Trigger int` fields with `DefaultPolicy string` and `DefaultAlgo string` in `ResampleConfig`\n\n2. **`internal/config/schema.go`** — Replaced `trigger`/`resolutions` schema properties with `default-policy` (enum: low/medium/high) and `default-algo` (enum: lttb/average/simple); removed `required` constraint\n\n3. **`internal/routerConfig/routes.go`** — `resamplingForUser()` now checks user preference → global `DefaultPolicy` → \"medium\" fallback, always computing `TargetPoints` dynamically via `TargetPointsForPolicy()`\n\n4. **`internal/graph/schema.resolvers.go`** — Both `JobMetrics()` and `NodeMetricsList()` now call `resolveResolutionFromDefaultPolicy()` instead of `slices.Max(Resolutions)`\n\n5. **`internal/graph/resample.go`** — Added `resolveResolutionFromDefaultPolicy()` helper; updated `resolveResampleAlgo()` to fall back to `config.Keys.EnableResampling.DefaultAlgo` when no user preference is set\n\n6. **`config.json`** and **`configs/config.json`** — Updated to new format with `default-policy` and `default-algo`"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":190,"cache_read_input_tokens":52016,"output_tokens":355,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":190,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDrerUeT5kkQph5sJzCc","type":"assistant","uuid":"216aaeda-a7a4-4b91-b9d5-6c7ead860e05","timestamp":"2026-03-20T06:27:04.084Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"216aaeda-a7a4-4b91-b9d5-6c7ead860e05","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"ab78d7f9-ce1c-4a7c-9078-390009bf39b7","toolUseID":"ab78d7f9-ce1c-4a7c-9078-390009bf39b7","timestamp":"2026-03-20T06:27:04.100Z","uuid":"bd457c62-2f75-4baa-98e7-e3e665a5ff7a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"bd457c62-2f75-4baa-98e7-e3e665a5ff7a","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":623}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-20T06:27:04.723Z","uuid":"34e83eb3-9620-4c6d-bc19-bf10ea3062c5","toolUseID":"ab78d7f9-ce1c-4a7c-9078-390009bf39b7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"34e83eb3-9620-4c6d-bc19-bf10ea3062c5","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":144967,"timestamp":"2026-03-20T06:27:04.723Z","uuid":"a2558b76-a81d-4729-89b9-57cd6bf277c2","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"26879290-36ce-483b-8b20-9bb3b6e960cc","snapshot":{"messageId":"26879290-36ce-483b-8b20-9bb3b6e960cc","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/graph/resample.go":{"backupFileName":"ebda0e4c62a80f65@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"config.json":{"backupFileName":"4f18bd07111ea8d1@v2","version":2,"backupTime":"2026-03-20T06:49:00.415Z"},"configs/config.json":{"backupFileName":"ffc48788801499b0@v2","version":2,"backupTime":"2026-03-20T06:49:00.415Z"}},"timestamp":"2026-03-20T06:49:00.413Z"},"isSnapshotUpdate":false}
{"parentUuid":"a2558b76-a81d-4729-89b9-57cd6bf277c2","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":"Also set MinimumPoints automatically based on the policy"},"uuid":"26879290-36ce-483b-8b20-9bb3b6e960cc","timestamp":"2026-03-20T06:48:59.744Z","permissionMode":"plan","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"26879290-36ce-483b-8b20-9bb3b6e960cc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FGpZuXxtHb6rygEKNCnWsS","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the existing plan and current state of the code."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1748,"cache_read_input_tokens":52206,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1748},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtLZhaZkyfjG5MqctGJ","type":"assistant","uuid":"7bd2eb1c-c99d-4ab7-9deb-2ca3df019132","timestamp":"2026-03-20T06:49:11.970Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"7bd2eb1c-c99d-4ab7-9deb-2ca3df019132","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FGpZuXxtHb6rygEKNCnWsS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N2poQ43Li7ev6Jo3LHcCmG","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1748,"cache_read_input_tokens":52206,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1748},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtLZhaZkyfjG5MqctGJ","type":"assistant","uuid":"1ab370df-3de1-44f6-afb9-7a4eb06cbc6b","timestamp":"2026-03-20T06:49:12.426Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"1ab370df-3de1-44f6-afb9-7a4eb06cbc6b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01N2poQ43Li7ev6Jo3LHcCmG","toolUseID":"toolu_01N2poQ43Li7ev6Jo3LHcCmG","timestamp":"2026-03-20T06:49:12.455Z","uuid":"2b21141e-d353-43cf-a4cc-c3d3f447e3e3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"1ab370df-3de1-44f6-afb9-7a4eb06cbc6b","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N2poQ43Li7ev6Jo3LHcCmG","type":"tool_result","content":" 1→# Replace file-based resampling config with policy-based approach\n 2→\n 3→## Context\n 4→\n 5→The codebase has two resampling mechanisms:\n 6→1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n 7→2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n 8→\n 9→The problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n 10→\n 11→## Changes\n 12→\n 13→### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n 14→- Remove `Resolutions []int` and `Trigger int` fields\n 15→- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n 16→- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n 17→- Keep `MinimumPoints int` — still useful for the resampler library\n 18→- Keep `TargetPoints int` — used by policy-derived runtime config\n 19→\n 20→### 2. `internal/config/schema.go` — Update JSON schema\n 21→- Replace `trigger`/`resolutions` required properties with `default-policy`\n 22→- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n 23→- Remove `trigger` and `resolutions` properties\n 24→- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n 25→\n 26→### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n 27→- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n 28→- If `DefaultPolicy` is empty, use \"medium\" as default\n 29→\n 30→### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n 31→- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n 32→- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n 33→- Also apply `DefaultAlgo` when no user algo preference is set\n 34→\n 35→### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n 36→- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n 37→\n 38→### 6. `config.json` (local dev) — Update to new format\n 39→```json\n 40→\"resampling\": {\n 41→ \"default-policy\": \"medium\",\n 42→ \"default-algo\": \"lttb\"\n 43→}\n 44→```\n 45→\n 46→### 7. `configs/config.json` (example config) — Update to new format\n 47→Same as above, keeping `minimum-points` if desired.\n 48→\n 49→### 8. Frontend: No changes needed\n 50→The frontend already handles both modes:\n 51→- Policy-based: uses `targetPoints` to compute resolution dynamically\n 52→- Array-based: uses `resolutions` array for fixed steps\n 53→\n 54→Since `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n 55→\n 56→## Files to modify\n 57→1. `internal/config/config.go` (struct + Init)\n 58→2. `internal/config/schema.go` (JSON schema)\n 59→3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n 60→4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n 61→5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n 62→6. `config.json` (local config)\n 63→7. `configs/config.json` (example config)\n 64→\n 65→## Verification\n 66→1. `go build ./...` — must compile\n 67→2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n 68→3. `go test ./internal/config/...` — if config tests exist\n 69→4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n 70→5. Verify metric plots on job pages still support zoom/resampling\n 71→"}]},"uuid":"87ebb638-8505-4c68-8964-e66bf5e072e0","timestamp":"2026-03-20T06:49:12.454Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","content":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","numLines":71,"startLine":1,"totalLines":71}},"sourceToolAssistantUUID":"1ab370df-3de1-44f6-afb9-7a4eb06cbc6b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"87ebb638-8505-4c68-8964-e66bf5e072e0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FGpZuXxtHb6rygEKNCnWsS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RFvxU7aMS3Lg8oKfBXWLPz","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1748,"cache_read_input_tokens":52206,"output_tokens":149,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1748,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtLZhaZkyfjG5MqctGJ","type":"assistant","uuid":"53988cf2-b20b-4d66-9bf2-21bce4991a02","timestamp":"2026-03-20T06:49:12.540Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"53988cf2-b20b-4d66-9bf2-21bce4991a02","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RFvxU7aMS3Lg8oKfBXWLPz","toolUseID":"toolu_01RFvxU7aMS3Lg8oKfBXWLPz","timestamp":"2026-03-20T06:49:12.546Z","uuid":"6fd59099-dbe9-41ba-8e74-54cbe514d712","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"53988cf2-b20b-4d66-9bf2-21bce4991a02","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RFvxU7aMS3Lg8oKfBXWLPz","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 config implements the program configuration data structures, validation and parsing\n 7→package config\n 8→\n 9→import (\n 10→\t\"bytes\"\n 11→\t\"encoding/json\"\n 12→\t\"time\"\n 13→\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 16→)\n 17→\n 18→type ProgramConfig struct {\n 19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n 20→\tAddr string `json:\"addr\"`\n 21→\n 22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n 23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n 24→\n 25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n 26→\n 27→\t// Drop root permissions once .env was read and the port was taken.\n 28→\tUser string `json:\"user\"`\n 29→\tGroup string `json:\"group\"`\n 30→\n 31→\t// Disable authentication (for everything: API, Web-UI, ...)\n 32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n 33→\n 34→\t// If `embed-static-files` is true (default), the frontend files are directly\n 35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n 36→\t// it is false the files in `static-files` are served instead.\n 37→\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n 38→\tStaticFiles string `json:\"static-files\"`\n 39→\n 40→\t// Path to SQLite database file\n 41→\tDB string `json:\"db\"`\n 42→\n 43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n 44→\n 45→\t// Validate json input against schema\n 46→\tValidate bool `json:\"validate\"`\n 47→\n 48→\t// If 0 or empty, the session does not expire!\n 49→\tSessionMaxAge string `json:\"session-max-age\"`\n 50→\n 51→\t// If both those options are not empty, use HTTPS using those certificates.\n 52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n 53→\tHTTPSKeyFile string `json:\"https-key-file\"`\n 54→\n 55→\t// If not the empty string and `addr` does not end in \":80\",\n 56→\t// redirect every request incoming at port 80 to that url.\n 57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n 58→\n 59→\t// Where to store MachineState files\n 60→\tMachineStateDir string `json:\"machine-state-dir\"`\n 61→\n 62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n 63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n 64→\n 65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n 66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n 67→\n 68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n 69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n 70→\tEmissionConstant int `json:\"emission-constant\"`\n 71→\n 72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n 73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n 74→\n 75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n 76→\tSystemdUnit string `json:\"systemd-unit\"`\n 77→\n 78→\t// Node state retention configuration\n 79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n 80→\n 81→\t// Database tuning configuration\n 82→\tDbConfig *DbConfig `json:\"db-config\"`\n 83→}\n 84→\n 85→type DbConfig struct {\n 86→\tCacheSizeMB int `json:\"cache-size-mb\"`\n 87→\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n 88→\tMaxOpenConnections int `json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n 92→}\n 93→\n 94→type NodeStateRetention struct {\n 95→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 96→\tAge int `json:\"age\"` // hours, default 24\n 97→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 98→\tTargetPath string `json:\"target-path\"`\n 99→\tTargetEndpoint string `json:\"target-endpoint\"`\n 100→\tTargetBucket string `json:\"target-bucket\"`\n 101→\tTargetAccessKey string `json:\"target-access-key\"`\n 102→\tTargetSecretKey string `json:\"target-secret-key\"`\n 103→\tTargetRegion string `json:\"target-region\"`\n 104→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 105→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 106→}\n 107→\n 108→type ResampleConfig struct {\n 109→\t// Minimum number of points to trigger resampling of data\n 110→\tMinimumPoints int `json:\"minimum-points\"`\n 111→\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n 112→\tDefaultPolicy string `json:\"default-policy\"`\n 113→\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n 114→\tDefaultAlgo string `json:\"default-algo\"`\n 115→\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n 116→\tTargetPoints int `json:\"targetPoints,omitempty\"`\n 117→}\n 118→\n 119→type NATSConfig struct {\n 120→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 121→\tSubjectNodeState string `json:\"subject-node-state\"`\n 122→\tJobConcurrency int `json:\"job-concurrency\"`\n 123→\tNodeConcurrency int `json:\"node-concurrency\"`\n 124→}\n 125→\n 126→type IntRange struct {\n 127→\tFrom int `json:\"from\"`\n 128→\tTo int `json:\"to\"`\n 129→}\n 130→\n 131→type TimeRange struct {\n 132→\tFrom *time.Time `json:\"from\"`\n 133→\tTo *time.Time `json:\"to\"`\n 134→\tRange string `json:\"range,omitempty\"`\n 135→}\n 136→\n 137→type FilterRanges struct {\n 138→\tDuration *IntRange `json:\"duration\"`\n 139→\tNumNodes *IntRange `json:\"num-nodes\"`\n 140→\tStartTime *TimeRange `json:\"start-time\"`\n 141→}\n 142→\n 143→var Keys ProgramConfig = ProgramConfig{\n 144→\tAddr: \"localhost:8080\",\n 145→\tEmbedStaticFiles: true,\n 146→\tDB: \"./var/job.db\",\n 147→\tSessionMaxAge: \"168h\",\n 148→\tStopJobsExceedingWalltime: 0,\n 149→\tShortRunningJobsDuration: 5 * 60,\n 150→}\n 151→\n 152→func Init(mainConfig json.RawMessage) {\n 153→\tValidate(configSchema, mainConfig)\n 154→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 155→\tdec.DisallowUnknownFields()\n 156→\tif err := dec.Decode(&Keys); err != nil {\n 157→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 158→\t}\n 159→\n 160→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 161→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 162→\t}\n 163→}\n 164→"}]},"uuid":"a585fb5b-935b-4408-be3a-01f32d03bc56","timestamp":"2026-03-20T06:49:12.545Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.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// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":164,"startLine":1,"totalLines":164}},"sourceToolAssistantUUID":"53988cf2-b20b-4d66-9bf2-21bce4991a02","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"a585fb5b-935b-4408-be3a-01f32d03bc56","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013dJsdfyUmbHnVipwqSQY9q","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check how `MinimumPoints` and `SetMinimumRequiredPoints` are used, and what the current `TargetPointsForPolicy` returns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3965,"cache_read_input_tokens":53954,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3965},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtMTDRkpxdFRT1R5sA7","type":"assistant","uuid":"f09bc996-a1ea-4c02-817c-54caf56368cd","timestamp":"2026-03-20T06:49:15.934Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"f09bc996-a1ea-4c02-817c-54caf56368cd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013dJsdfyUmbHnVipwqSQY9q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","name":"Grep","input":{"pattern":"MinimumPoints|SetMinimumRequiredPoints|minimumRequiredPoints","output_mode":"content","-C":3},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3965,"cache_read_input_tokens":53954,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3965,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtMTDRkpxdFRT1R5sA7","type":"assistant","uuid":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","timestamp":"2026-03-20T06:49:16.513Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","toolUseID":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","timestamp":"2026-03-20T06:49:16.560Z","uuid":"54a6f7d6-192b-4a68-bba2-358913d78fbc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AcKsYYJ7G2dGKFTKx9bdkM","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-107-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-108-type ResampleConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-109-\t// Minimum number of points to trigger resampling of data\ninternal/config/config.go:110:\tMinimumPoints int `json:\"minimum-points\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-111-\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\ninternal/config/config.go-112-\tDefaultPolicy string `json:\"default-policy\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-113-\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n--\ninternal/config/config.go-157-\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-158-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-159-\ninternal/config/config.go:160:\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\ninternal/config/config.go:161:\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-162-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-163-}"}]},"uuid":"565083f2-a6d0-4d99-a51b-d6011b73086e","timestamp":"2026-03-20T06:49:16.560Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-107-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-108-type ResampleConfig struct {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-109-\t// Minimum number of points to trigger resampling of data\ninternal/config/config.go:110:\tMinimumPoints int `json:\"minimum-points\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-111-\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\ninternal/config/config.go-112-\tDefaultPolicy string `json:\"default-policy\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-113-\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n--\ninternal/config/config.go-157-\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-158-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-159-\ninternal/config/config.go:160:\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\ninternal/config/config.go:161:\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-162-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-163-}","numLines":15},"sourceToolAssistantUUID":"b98fae3f-42cc-4120-8f88-a60c32d9ff61","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"565083f2-a6d0-4d99-a51b-d6011b73086e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011hiSaMJpoQjGhkhzfmDLMm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","name":"Grep","input":{"pattern":"SetMinimumRequiredPoints|minimumRequiredPoints","path":"/Users/jan/prg/ClusterCockpit/cc-backend","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":862,"cache_read_input_tokens":57919,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":862,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtMkEcYpQ7oX8PnfwTV","type":"assistant","uuid":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","timestamp":"2026-03-20T06:49:20.353Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","toolUseID":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","timestamp":"2026-03-20T06:49:20.385Z","uuid":"834a3fda-b803-4b25-af1c-641980bdce8d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017RsTHG3VTwdTkrnN6nx8Fu","type":"tool_result","content":"Found 1 file\ninternal/config/config.go"}]},"uuid":"6dec93f0-8443-4c1d-9772-efb5be677f30","timestamp":"2026-03-20T06:49:20.384Z","toolUseResult":{"mode":"files_with_matches","filenames":["internal/config/config.go"],"numFiles":1},"sourceToolAssistantUUID":"8768f7ec-eb07-44d0-8ecf-80e00fd00ec0","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"6dec93f0-8443-4c1d-9772-efb5be677f30","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RmqncFb8ymLqvhUFRZ1Eed","type":"message","role":"assistant","content":[{"type":"text","text":"It's in the `resampler` library. Let me check the go module cache for it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":145,"cache_read_input_tokens":58781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":145},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtN2q1KSSmB1sX6djoo","type":"assistant","uuid":"ca576083-cd71-47c4-b245-940feeb91c14","timestamp":"2026-03-20T06:49:23.757Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ca576083-cd71-47c4-b245-940feeb91c14","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RmqncFb8ymLqvhUFRZ1Eed","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WnetbhJTo7zvodHxdP6sMJ","name":"Bash","input":{"command":"grep -r \"SetMinimumRequiredPoints\\|minimumRequiredPoints\" $(go env GOMODCACHE)/github.com/ClusterCockpit/cc-lib/ 2>/dev/null | head -20","description":"Find SetMinimumRequiredPoints in cc-lib"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":145,"cache_read_input_tokens":58781,"output_tokens":153,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":145,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtN2q1KSSmB1sX6djoo","type":"assistant","uuid":"eb4563c9-44c8-4906-b94e-3b23ba2cead5","timestamp":"2026-03-20T06:49:25.178Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"eb4563c9-44c8-4906-b94e-3b23ba2cead5","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WnetbhJTo7zvodHxdP6sMJ","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"e593679c-eb2b-4802-90ef-b96ac8929c7d","timestamp":"2026-03-20T06:51:59.951Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"eb4563c9-44c8-4906-b94e-3b23ba2cead5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"e593679c-eb2b-4802-90ef-b96ac8929c7d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018eEAJx6isctjrk3FCjc1kj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TA8wJ5pRvRaLCMNSBwoSyC","name":"Bash","input":{"command":"grep -r \"SetMinimumRequiredPoints\\|minimumRequiredPoints\" $(go env GOMODCACHE)/github.com/ClusterCockpit/ 2>/dev/null | head -20","description":"Find SetMinimumRequiredPoints in cc module cache"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":171,"cache_read_input_tokens":58926,"output_tokens":127,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":171,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtZnjX2sAKEHJK7C2f5","type":"assistant","uuid":"6ca09540-62fc-4b60-95cf-ad670939ea46","timestamp":"2026-03-20T06:52:12.851Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"6ca09540-62fc-4b60-95cf-ad670939ea46","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TA8wJ5pRvRaLCMNSBwoSyC","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"24ccc394-2e4c-4cca-bc09-7ed015c5143e","timestamp":"2026-03-20T06:54:44.589Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6ca09540-62fc-4b60-95cf-ad670939ea46","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"24ccc394-2e4c-4cca-bc09-7ed015c5143e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Xx228jQMAKFAYDsEJhXpBi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PbxmZcxWkJYuruvBf75uMT","name":"Bash","input":{"command":"go doc github.com/ClusterCockpit/cc-lib/v2/resampler.SetMinimumRequiredPoints 2>&1; echo \"---\"; go doc github.com/ClusterCockpit/cc-lib/v2/resampler 2>&1 | head -30","description":"Check resampler package docs"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":145,"cache_read_input_tokens":59097,"output_tokens":143,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":145,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtmvdMipfqLcTTt4rMh","type":"assistant","uuid":"19a9e6fb-8773-4432-b88a-2bd371c3644b","timestamp":"2026-03-20T06:54:51.490Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"19a9e6fb-8773-4432-b88a-2bd371c3644b","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PbxmZcxWkJYuruvBf75uMT","type":"tool_result","content":"package resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nfunc SetMinimumRequiredPoints(setVal int)\n---\npackage resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nPackage resampler provides time-series data downsampling algorithms.\n\nThis package implements two downsampling strategies for reducing the number of\ndata points in time-series data while preserving important characteristics:\n\n - SimpleResampler: A fast, straightforward algorithm that selects every nth\n point\n - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that\n preserves visual characteristics by selecting points that maximize the area\n of triangles formed with neighboring points\n\nBoth algorithms are designed to work with schema.Float data and handle NaN\nvalues appropriately. They require that the new sampling frequency is a multiple\nof the old frequency.\n\nReferences:\n - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n - Implementation adapted from: https://github.com/haoel/downsampling\n\nvar MinimumRequiredPoints int = 1000\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc SetMinimumRequiredPoints(setVal int)\nfunc SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\ntype ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n func GetResampler(name string) (ResamplerFunc, error)","is_error":false}]},"uuid":"d01fc180-3a3f-477b-b65b-4f410de479b0","timestamp":"2026-03-20T06:54:53.593Z","toolUseResult":{"stdout":"package resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nfunc SetMinimumRequiredPoints(setVal int)\n---\npackage resampler // import \"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\nPackage resampler provides time-series data downsampling algorithms.\n\nThis package implements two downsampling strategies for reducing the number of\ndata points in time-series data while preserving important characteristics:\n\n - SimpleResampler: A fast, straightforward algorithm that selects every nth\n point\n - LargestTriangleThreeBucket (LTTB): A perceptually-aware algorithm that\n preserves visual characteristics by selecting points that maximize the area\n of triangles formed with neighboring points\n\nBoth algorithms are designed to work with schema.Float data and handle NaN\nvalues appropriately. They require that the new sampling frequency is a multiple\nof the old frequency.\n\nReferences:\n - LTTB Algorithm: https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf\n - Implementation adapted from: https://github.com/haoel/downsampling\n\nvar MinimumRequiredPoints int = 1000\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc LargestTriangleThreeBucket(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\nfunc SetMinimumRequiredPoints(setVal int)\nfunc SimpleResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\ntype ResamplerFunc func(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error)\n func GetResampler(name string) (ResamplerFunc, error)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"19a9e6fb-8773-4432-b88a-2bd371c3644b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"d01fc180-3a3f-477b-b65b-4f410de479b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EAfkyw9gf7ejatRv56Cho3","type":"message","role":"assistant","content":[{"type":"text","text":"Now I understand. `MinimumRequiredPoints` defaults to 1000 in the library. The idea is to derive it from the policy's target points instead of requiring manual config. The mapping is straightforward: policy target points (low=200, medium=500, high=1000) can directly serve as `MinimumRequiredPoints`.\n\nThis is a simple, self-contained change. Let me update the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":740,"cache_read_input_tokens":59242,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":740},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZDtnb8NoghmUeoHa1XBW","type":"assistant","uuid":"ae13617f-8ae6-4335-80c0-8860999b9951","timestamp":"2026-03-20T06:55:00.107Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"ae13617f-8ae6-4335-80c0-8860999b9951","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EAfkyw9gf7ejatRv56Cho3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017t1G7AfWS2rsoE99yxvnAs","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","old_string":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling","new_string":"# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n switch policy {\n case \"low\": return 200\n case \"medium\": return 500\n case \"high\": return 1000\n default: return 500 // medium fallback\n }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n policy := Keys.EnableResampling.DefaultPolicy\n if policy == \"\" {\n policy = \"medium\"\n }\n resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":740,"cache_read_input_tokens":59242,"output_tokens":2155,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":740,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtnb8NoghmUeoHa1XBW","type":"assistant","uuid":"9ae23f86-8a8d-4e67-859b-550829c0d424","timestamp":"2026-03-20T06:55:37.936Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"type":"file-history-snapshot","messageId":"9ae23f86-8a8d-4e67-859b-550829c0d424","snapshot":{"messageId":"26879290-36ce-483b-8b20-9bb3b6e960cc","trackedFileBackups":{"internal/config/config.go":{"backupFileName":"0a0005594bca2efa@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/routerConfig/routes.go":{"backupFileName":"f30c02b9351c2153@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"internal/graph/resample.go":{"backupFileName":"ebda0e4c62a80f65@v2","version":2,"backupTime":"2026-03-20T06:49:00.414Z"},"config.json":{"backupFileName":"4f18bd07111ea8d1@v2","version":2,"backupTime":"2026-03-20T06:49:00.415Z"},"configs/config.json":{"backupFileName":"ffc48788801499b0@v2","version":2,"backupTime":"2026-03-20T06:49:00.415Z"},"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md":{"backupFileName":"00642b59992c70a5@v1","version":1,"backupTime":"2026-03-20T06:55:37.943Z"}},"timestamp":"2026-03-20T06:49:00.413Z"},"isSnapshotUpdate":true}
{"parentUuid":"9ae23f86-8a8d-4e67-859b-550829c0d424","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017t1G7AfWS2rsoE99yxvnAs","toolUseID":"toolu_017t1G7AfWS2rsoE99yxvnAs","timestamp":"2026-03-20T06:55:37.946Z","uuid":"bb3682a2-d7e7-4d6a-a58b-3ca3d1ad624c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"9ae23f86-8a8d-4e67-859b-550829c0d424","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017t1G7AfWS2rsoE99yxvnAs","type":"tool_result","content":"The file /Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md has been updated successfully."}]},"uuid":"5b128961-d87d-458a-8e30-c5bf368c74dc","timestamp":"2026-03-20T06:55:37.946Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md","oldString":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling","newString":"# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n switch policy {\n case \"low\": return 200\n case \"medium\": return 500\n case \"high\": return 1000\n default: return 500 // medium fallback\n }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n policy := Keys.EnableResampling.DefaultPolicy\n if policy == \"\" {\n policy = \"medium\"\n }\n resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass","originalFile":"# Replace file-based resampling config with policy-based approach\n\n## Context\n\nThe codebase has two resampling mechanisms:\n1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.\n2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.\n\nThe problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.\n\n## Changes\n\n### 1. `internal/config/config.go` — Update `ResampleConfig` struct\n- Remove `Resolutions []int` and `Trigger int` fields\n- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")\n- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")\n- Keep `MinimumPoints int` — still useful for the resampler library\n- Keep `TargetPoints int` — used by policy-derived runtime config\n\n### 2. `internal/config/schema.go` — Update JSON schema\n- Replace `trigger`/`resolutions` required properties with `default-policy`\n- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties\n- Remove `trigger` and `resolutions` properties\n- No required fields (presence of `\"resampling\": {}` is enough to enable it)\n\n### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`\n- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path\n- If `DefaultPolicy` is empty, use \"medium\" as default\n\n### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic\n- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`\n- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array\n- Also apply `DefaultAlgo` when no user algo preference is set\n\n### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`\n- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"\n\n### 6. `config.json` (local dev) — Update to new format\n```json\n\"resampling\": {\n \"default-policy\": \"medium\",\n \"default-algo\": \"lttb\"\n}\n```\n\n### 7. `configs/config.json` (example config) — Update to new format\nSame as above, keeping `minimum-points` if desired.\n\n### 8. Frontend: No changes needed\nThe frontend already handles both modes:\n- Policy-based: uses `targetPoints` to compute resolution dynamically\n- Array-based: uses `resolutions` array for fixed steps\n\nSince `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.\n\n## Files to modify\n1. `internal/config/config.go` (struct + Init)\n2. `internal/config/schema.go` (JSON schema)\n3. `internal/routerConfig/routes.go` (`resamplingForUser`)\n4. `internal/graph/schema.resolvers.go` (resolver fallbacks)\n5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)\n6. `config.json` (local config)\n7. `configs/config.json` (example config)\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/metricdispatch/...` — resample policy tests pass\n3. `go test ./internal/config/...` — if config tests exist\n4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options\n5. Verify metric plots on job pages still support zoom/resampling\n","structuredPatch":[{"oldStart":1,"oldLines":70,"newStart":1,"newLines":59,"lines":["-# Replace file-based resampling config with policy-based approach","+# Derive MinimumPoints automatically from policy"," "," ## Context"," ","-The codebase has two resampling mechanisms:","-1. **Old (file-based)**: `config.json` defines explicit `resolutions` array and `trigger` count. The frontend uses these to pick from a fixed set of resolution steps on zoom.","-2. **New (policy-based)**: Users choose a policy (\"low\"/\"medium\"/\"high\") mapping to target point counts (200/500/1000). Resolution is computed dynamically from `duration / targetPoints`. This is already fully implemented in the GraphQL resolvers and frontend MetricPlot zoom logic.","+The previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling."," ","-The problem: `config.json` still uses the old `resolutions`+`trigger` schema, and falls back to it when no user policy is set. We should replace this with a default policy+algorithm in config, so the whole system is consistently policy-based.","+The resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json."," ","+**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).","+"," ## Changes"," ","-### 1. `internal/config/config.go` — Update `ResampleConfig` struct","-- Remove `Resolutions []int` and `Trigger int` fields","-- Add `DefaultPolicy string` (`json:\"default-policy\"`) — default resample policy (\"low\", \"medium\", \"high\")","-- Add `DefaultAlgo string` (`json:\"default-algo\"`) — default resample algorithm (\"lttb\", \"average\", \"simple\")","-- Keep `MinimumPoints int` — still useful for the resampler library","-- Keep `TargetPoints int` — used by policy-derived runtime config","+### 1. `internal/config/config.go`","+- Remove `MinimumPoints int` field from `ResampleConfig`","+- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:","+ - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points","+ - Call `resampler.SetMinimumRequiredPoints(targetPoints)`","+- This requires importing `metricdispatch` — need to check for import cycles"," ","-### 2. `internal/config/schema.go` — Update JSON schema","-- Replace `trigger`/`resolutions` required properties with `default-policy`","-- Add `default-policy` (string, enum: [\"low\",\"medium\",\"high\"]) and `default-algo` (string, enum: [\"lttb\",\"average\",\"simple\"]) properties","-- Remove `trigger` and `resolutions` properties","-- No required fields (presence of `\"resampling\": {}` is enough to enable it)","+**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`."," ","-### 3. `internal/routerConfig/routes.go` — Update `resamplingForUser()`","-- When falling back to globalCfg (no user policy set), use `globalCfg.DefaultPolicy` to compute `TargetPoints` and `Trigger` dynamically, same as the user-policy path","-- If `DefaultPolicy` is empty, use \"medium\" as default","+**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:","+```go","+func targetPointsForPolicy(policy string) int {","+ switch policy {","+ case \"low\": return 200","+ case \"medium\": return 500","+ case \"high\": return 1000","+ default: return 500 // medium fallback","+ }","+}","+```"," ","-### 4. `internal/graph/schema.resolvers.go` — Update fallback resolution logic","-- In `JobMetrics()` and `NodeMetricsList()`: replace `slices.Max(config.Keys.EnableResampling.Resolutions)` fallback with policy-based computation using `config.Keys.EnableResampling.DefaultPolicy`","-- Use `TargetPointsForPolicy()` + `ComputeResolution()` instead of picking from a resolutions array","-- Also apply `DefaultAlgo` when no user algo preference is set","-","-### 5. `internal/graph/resample.go` — Update `resolveResampleAlgo()`","-- After checking user preference, fall back to `config.Keys.EnableResampling.DefaultAlgo` before returning \"\"","-","-### 6. `config.json` (local dev) — Update to new format","-```json","-\"resampling\": {","- \"default-policy\": \"medium\",","- \"default-algo\": \"lttb\"","+Then in `Init()`:","+```go","+if Keys.EnableResampling != nil {","+ policy := Keys.EnableResampling.DefaultPolicy","+ if policy == \"\" {","+ policy = \"medium\"","+ }","+ resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))"," }"," ```"," ","-### 7. `configs/config.json` (example config) — Update to new format","-Same as above, keeping `minimum-points` if desired.","+### 2. `internal/config/schema.go`","+- Remove `minimum-points` property from the `resampling` JSON schema object"," ","-### 8. Frontend: No changes needed","-The frontend already handles both modes:","-- Policy-based: uses `targetPoints` to compute resolution dynamically","-- Array-based: uses `resolutions` array for fixed steps","+### 3. `config.json` / `configs/config.json`","+- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)"," ","-Since `resamplingForUser()` already returns a `ResampleConfig` with `TargetPoints`+`Trigger` (no `Resolutions`), the frontend will use the policy path.","-"," ## Files to modify","-1. `internal/config/config.go` (struct + Init)","-2. `internal/config/schema.go` (JSON schema)","-3. `internal/routerConfig/routes.go` (`resamplingForUser`)","-4. `internal/graph/schema.resolvers.go` (resolver fallbacks)","-5. `internal/graph/resample.go` (`resolveResampleAlgo` fallback)","-6. `config.json` (local config)","-7. `configs/config.json` (example config)","+1. `internal/config/config.go` — remove field, add helper, update `Init()`","+2. `internal/config/schema.go` — remove `minimum-points` property","+3. `configs/config.json` — remove `minimum-points` from resampling block"," "," ## Verification"," 1. `go build ./...` — must compile","-2. `go test ./internal/metricdispatch/...` — resample policy tests pass","-3. `go test ./internal/config/...` — if config tests exist","-4. Start with `./cc-backend -server -dev` and verify `/config` page shows resampling options","-5. Verify metric plots on job pages still support zoom/resampling","+2. `go test ./internal/config/...` — config tests pass","+3. `go test ./internal/metricdispatch/...` — resample policy tests still pass"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9ae23f86-8a8d-4e67-859b-550829c0d424","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"5b128961-d87d-458a-8e30-c5bf368c74dc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Cx2rCFBfeAvBnKh12tWD49","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AQaY5eTC9uEoJ8SqhjEMm6","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2214,"cache_read_input_tokens":59982,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2214,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtqs7PMg8WDGe2jyTUs","type":"assistant","uuid":"0d3016f8-5277-49d2-8bf9-84157a7c3c78","timestamp":"2026-03-20T06:55:41.527Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"0d3016f8-5277-49d2-8bf9-84157a7c3c78","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01AQaY5eTC9uEoJ8SqhjEMm6","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"395f1717-8845-4ca3-9165-7cd5b0ba28ad","timestamp":"2026-03-20T06:55:41.529Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"0d3016f8-5277-49d2-8bf9-84157a7c3c78","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"395f1717-8845-4ca3-9165-7cd5b0ba28ad","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EYVs8RRZ7ZYt6FRLsiLPWC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WUVZ7p9iBdwG5nKxPTH538","name":"ExitPlanMode","input":{"plan":"# Derive MinimumPoints automatically from policy\n\n## Context\n\nThe previous commit replaced `resolutions`/`trigger` with `default-policy`/`default-algo` in `ResampleConfig`. The `MinimumPoints` field still exists as a manual config value (`\"minimum-points\"` in JSON), but it's redundant — since we now always have a policy (user pref or default), the target points from that policy are the natural minimum threshold for resampling.\n\nThe resampler library (`cc-lib/v2/resampler`) has a global `MinimumRequiredPoints` (default 1000) set via `SetMinimumRequiredPoints()`. Currently this is set in `config.Init()` only when `minimum-points > 0` in config.json.\n\n**Goal**: Remove `MinimumPoints` from config and derive it automatically from the default policy's target points (low=200, medium=500, high=1000).\n\n## Changes\n\n### 1. `internal/config/config.go`\n- Remove `MinimumPoints int` field from `ResampleConfig`\n- In `Init()`: replace the `MinimumPoints > 0` check with policy-derived logic:\n - Use `metricdispatch.TargetPointsForPolicy()` on `DefaultPolicy` (or \"medium\" if empty) to get the target points\n - Call `resampler.SetMinimumRequiredPoints(targetPoints)`\n- This requires importing `metricdispatch` — need to check for import cycles\n\n**Import cycle concern**: `config` is imported by almost everything. `metricdispatch` imports `config`. So `config` cannot import `metricdispatch`.\n\n**Solution**: Inline the policy→targetPoints mapping in `config.Init()` instead of calling `metricdispatch.TargetPointsForPolicy()`. A simple switch on `DefaultPolicy`:\n```go\nfunc targetPointsForPolicy(policy string) int {\n switch policy {\n case \"low\": return 200\n case \"medium\": return 500\n case \"high\": return 1000\n default: return 500 // medium fallback\n }\n}\n```\n\nThen in `Init()`:\n```go\nif Keys.EnableResampling != nil {\n policy := Keys.EnableResampling.DefaultPolicy\n if policy == \"\" {\n policy = \"medium\"\n }\n resampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n}\n```\n\n### 2. `internal/config/schema.go`\n- Remove `minimum-points` property from the `resampling` JSON schema object\n\n### 3. `config.json` / `configs/config.json`\n- Remove `\"minimum-points\"` key from the resampling block (it was already removed from `config.json` in the previous commit; check `configs/config.json` still has it)\n\n## Files to modify\n1. `internal/config/config.go` — remove field, add helper, update `Init()`\n2. `internal/config/schema.go` — remove `minimum-points` property\n3. `configs/config.json` — remove `minimum-points` from resampling block\n\n## Verification\n1. `go build ./...` — must compile\n2. `go test ./internal/config/...` — config tests pass\n3. `go test ./internal/metricdispatch/...` — resample policy tests still pass\n","planFilePath":"/Users/jan/.claude/plans/bubbly-shimmying-sedgewick.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":2952,"cache_read_input_tokens":59982,"output_tokens":39,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2952,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZDtr8BFPEzCXJyEUKqxi","type":"assistant","uuid":"d8d3d9ed-2205-4eea-bcff-d7a0d4cdc5b8","timestamp":"2026-03-20T06:55:44.749Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"d8d3d9ed-2205-4eea-bcff-d7a0d4cdc5b8","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.","is_error":true,"tool_use_id":"toolu_01WUVZ7p9iBdwG5nKxPTH538"}]},"uuid":"9d2ef9f8-c990-4f67-a8ab-6bc989b6435f","timestamp":"2026-03-20T06:57:51.516Z","toolUseResult":"User rejected tool use","sourceToolAssistantUUID":"d8d3d9ed-2205-4eea-bcff-d7a0d4cdc5b8","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
{"parentUuid":"9d2ef9f8-c990-4f67-a8ab-6bc989b6435f","isSidechain":false,"promptId":"1822ac8b-6591-4977-8dec-79c4374fa5bd","type":"user","message":{"role":"user","content":[{"type":"text","text":"[Request interrupted by user for tool use]"}]},"uuid":"9e09558b-de8c-4522-85c0-257b7e2ccf91","timestamp":"2026-03-20T06:57:51.516Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"9a08e650-0994-4213-b4b8-8d13b8cd4026","version":"2.1.80","gitBranch":"feature/526-average-resample","slug":"bubbly-shimmying-sedgewick"}
Reference in New Issue View Git Blame Copy Permalink