From edabaaa372978e3f8c51e4c97a964c70f0d3055b Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Wed, 11 Mar 2026 05:09:43 +0100 Subject: [PATCH 1/6] Checkpoint: ddd4fa4a7bbb Entire-Session: 42401d2e-7d1c-4c0e-abe6-356cb2d48747 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/1cf9920-e3b0c4 --- dd/d4fa4a7bbb/0/content_hash.txt | 1 + dd/d4fa4a7bbb/0/context.md | 18 ++++++ dd/d4fa4a7bbb/0/full.jsonl | 76 +++++++++++++++++++++++++ dd/d4fa4a7bbb/0/metadata.json | 30 ++++++++++ dd/d4fa4a7bbb/0/prompt.txt | 97 ++++++++++++++++++++++++++++++++ dd/d4fa4a7bbb/metadata.json | 26 +++++++++ 6 files changed, 248 insertions(+) create mode 100644 dd/d4fa4a7bbb/0/content_hash.txt create mode 100644 dd/d4fa4a7bbb/0/context.md create mode 100644 dd/d4fa4a7bbb/0/full.jsonl create mode 100644 dd/d4fa4a7bbb/0/metadata.json create mode 100644 dd/d4fa4a7bbb/0/prompt.txt create mode 100644 dd/d4fa4a7bbb/metadata.json diff --git a/dd/d4fa4a7bbb/0/content_hash.txt b/dd/d4fa4a7bbb/0/content_hash.txt new file mode 100644 index 00000000..04b8ad85 --- /dev/null +++ b/dd/d4fa4a7bbb/0/content_hash.txt @@ -0,0 +1 @@ +sha256:baa496432701c4b8869f1ec775d7d28549cb708c7bf54dcbf42c158de11391ad \ No newline at end of file diff --git a/dd/d4fa4a7bbb/0/context.md b/dd/d4fa4a7bbb/0/context.md new file mode 100644 index 00000000..b67ecf2a --- /dev/null +++ b/dd/d4fa4a7bbb/0/context.md @@ -0,0 +1,18 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries + +## Context + +Production memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on ev... + +### Prompt 2 + +Check if the fixes are correctly merged in nodes.go + diff --git a/dd/d4fa4a7bbb/0/full.jsonl b/dd/d4fa4a7bbb/0/full.jsonl new file mode 100644 index 00000000..72b465a8 --- /dev/null +++ b/dd/d4fa4a7bbb/0/full.jsonl @@ -0,0 +1,76 @@ +{"type":"file-history-snapshot","messageId":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","snapshot":{"messageId":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","trackedFileBackups":{},"timestamp":"2026-03-10T20:28:04.723Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"322896ab-55ab-4924-945a-22fa88775d9d","toolUseID":"322896ab-55ab-4924-945a-22fa88775d9d","timestamp":"2026-03-10T20:28:04.680Z","uuid":"43f7de5d-4b54-4e46-80d0-1684a57b9b8c"} +{"parentUuid":"43f7de5d-4b54-4e46-80d0-1684a57b9b8c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\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-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e.jsonl"},"uuid":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","timestamp":"2026-03-10T20:21:15.868Z","planContent":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"} +{"parentUuid":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvcBCkYICxgCKkDNvjsEBG7m8AUSxLbse5/SPf1o2gvRGU5TE3/9lLGflcjfQQxP2dWyWNNScudLkC+sKOejAlWUE5ibngL1rL9gEgw083/g83JsqJHyYSMaDL3UCm4ubVIwGFWMAyIwohkztUd2boV05aaeLOJ68s9QnWLNOQlg2mv7882EIyD+IQnc4iP6BRAFkz6qNvx/Kl8CrJ/o1rOdPLFxnG2xl+hi5jic4m4dGeaCm/Y1oHpQxTIiLflMfNJLp2NqotxwbTRS44wqcvh9U/5cd30zRdn6wYGE8G2MOUXr1PaegMlZQUqZsxvgvK6cI2AkddTLphgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"f80cecdf-6eb2-4a81-9726-050878dade06","timestamp":"2026-03-10T20:28:08.592Z"} +{"parentUuid":"f80cecdf-6eb2-4a81-9726-050878dade06","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","timestamp":"2026-03-10T20:28:09.041Z"} +{"parentUuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","toolUseID":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","timestamp":"2026-03-10T20:28:09.325Z","uuid":"ffde6750-5d48-44aa-bbfe-2dfd7da8c791"} +{"parentUuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRow()\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).Query()\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).Query()\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→"}]},"uuid":"7f1a680f-7c43-449b-a944-a7138fd54adc","timestamp":"2026-03-10T20:28:09.324Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1122,"startLine":1,"totalLines":1122}},"sourceToolAssistantUUID":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17"} +{"parentUuid":"7f1a680f-7c43-449b-a944-a7138fd54adc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EqFC17XFwt2hHXyBKZCvKL","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","timestamp":"2026-03-10T20:28:09.915Z"} +{"parentUuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EqFC17XFwt2hHXyBKZCvKL","toolUseID":"toolu_01EqFC17XFwt2hHXyBKZCvKL","timestamp":"2026-03-10T20:28:09.922Z","uuid":"b234b495-0fc1-4d24-bc4a-d61e2449520e"} +{"parentUuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EqFC17XFwt2hHXyBKZCvKL","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"d876e7a0-04fd-4ff0-8dad-db5321219e9e","timestamp":"2026-03-10T20:28:09.921Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.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 repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91"} +{"parentUuid":"d876e7a0-04fd-4ff0-8dad-db5321219e9e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013F4FMbfADwTJeTCGBWHK1N","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"output_tokens":218,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8257,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","timestamp":"2026-03-10T20:28:10.621Z"} +{"parentUuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013F4FMbfADwTJeTCGBWHK1N","toolUseID":"toolu_013F4FMbfADwTJeTCGBWHK1N","timestamp":"2026-03-10T20:28:10.895Z","uuid":"7231790f-aea1-4fae-a456-7e6c52e1fef0"} +{"parentUuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013F4FMbfADwTJeTCGBWHK1N","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"03596bc8-917d-48f6-9b02-1258c28f41d0","timestamp":"2026-03-10T20:28:10.894Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b"} +{"parentUuid":"03596bc8-917d-48f6-9b02-1258c28f41d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"ErkKCkYICxgCKkD6p0nW4kxzocORK8GPvXxrNzQ0qM7M2Wv0A+DkMIIMDI/HbNi3NP9YEaOJ1jcXnsHar/jFHaH72JJZvjtVd/xkEgy1SDvgWy+kcjcvmVAaDLgywMP1yzuse3ETLCIw5KZH6VeonWUa9pt2b8XYr5etR3Kvy+wxCBbN5x4oMvckZyp+qN1aCbMGy17kFcz8KqAJCRp0lQEIR3iLYcJSwUKHWsaYpa/aCSAt2LQzKuorl0PBwJ6EFTZ7cFsVLwAIxb94azZw5xhvZdY5B5UcgisvbswfUIM4DpE8IyAJrszCtO5lkKB8w9Ks0fT9A9f+qAvmZeYaP+cvIZ9sNXvJ2j3W1CNLvz7HRWsKJvdlufNf4s++S7Yad7dFv8VxZGyK9JTnggSoJNdX5RNMnQW49zebsbY78xP7dTqf0O/X6LWRzGOGj9VPXpjbP2Ne8kT61S765PAL8pGCB4wOy/81h77t7cR8MIGl/tVagbfQ7fLAjwsR8v0Pps0DgvFsBCiK0fYybbnCbIBKzUeKWswl3/yX0WzvxJ5oytgNjCGPPvZdwDSJNe6QeidM2sDl+2vZHx6AXb+b+NErnBZvBrLhDK4Z+xzijf/pxNCt92nvGUUSgHXlFgZWn2n6i5ea1gp/ZTtlzliZNYpTIbAdKp9o+aOE+7TIDSnEdBr4RaWAGkvzK0pDnOVbX102wlIh2PBJT3pF8XGF4t4h2BJIitrUV7AEE3zTLxm/Hj1TMzhYPIyhCaYOaSe4NF0hCncU8/HoI2Z6nrtkVjHmuA6xC2Oo3fi1Axdezo/UDK+6wjmD3L09uz/9dNp/j1U03cBOF+RO36oSwN8w4XdeSNGGAYyo/yuoqQ6yTkY1kUclr5BQ1GrHqOG5ilM1rcS8oTaode60xtyzB8sv3xkZCgbJOY/YT/FDkcxZSm6SUNQfnV44OL+MkXfyHNFuTH61lkMXUXFawizk6N55ukbRypqIJMm2ikTcakSCrcT6sqdMyqKynBVJ9kN5bJTTZ2R53r6xDAqnTMv88GmAytbGfGXl1bqk0zo3oSI3I1F5OLbtG9xIvK7D/YW/mQkKn6cLhRKksed2QI1hR4RbA3AeJK4ow9y1pMvmYn1BwGGaO4v+kw8TPmhxQoHOnsTp1HizeXg8kQZBKmQ0R0CllrdepzRn3jsbJoNoWdVivE4PoHGVZK8oiFx3I6phRHTEcQmg4M2uJRDvKhiMA0Ynh2CmMYfSW+C8e+J2snaYoCYH/3T6w5itj8Xi5FRrwqTvrCl5/aaRbkuvi34+X/4LpnJZYE9H8lxTyPZP8L+OjWMDhlcGvyEIvdizyeQuw4TTRM3NzuZu1GORUTN+VPYlu5iqDwA+R926qyAzoOEk/UqImmJDPHWCthG6m2bE8FAzc4bJPePFgSrSOYyhXDNKcSt+yRpI8Bz14fnzobzXvXVUJ6dFzuFPltXMQG9n+dc+3TAdqZXaKkBVf7OLlaCIk0T7X5nKGhwN/A/oLRWxPCE2xpeoLnx/J+f0sfzsw6v0ynn00ZoMI4IFg/mrESOuEA6DzJYAhk7S9OWRJUmoi4Lxnb/8VYPUUsWKDax897rKIhzLNTdZir1d5GbPWLl5z9UV5uxIZ93wv/jY9FQ7lStjE1InjMAONOUCrwh59Xb+RtV8vZXULzA36rFkkL+2VpcOAQcQvUXzo2BHJsKHs7yPmrUoWlVfhfBj4kG28sNCSsgnehMW89j8ey/rWIY5VQw3YLSrnd/uKTon5R0V4CFpnWYVS0TZrw/t26cYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38798},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"b371d234-8353-467b-9d52-1a26f77eab8f","timestamp":"2026-03-10T20:28:19.583Z"} +{"parentUuid":"b371d234-8353-467b-9d52-1a26f77eab8f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"text","text":"All the `defer rows.Close()` calls are already present in the current state of all three files. Let me verify against what's actually changed via git diff."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38798},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"6cb1afa3-0cb5-4855-8f7d-083575c098d0","timestamp":"2026-03-10T20:28:20.419Z"} +{"parentUuid":"6cb1afa3-0cb5-4855-8f7d-083575c098d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y4ParwJvXSKBqaKYknXc1k","name":"Bash","input":{"command":"git diff internal/repository/stats.go internal/repository/tags.go internal/repository/node.go","description":"Show staged/unstaged changes in the three files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"output_tokens":531,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":38798,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"3e93d170-c093-4129-bf42-9165fef76780","timestamp":"2026-03-10T20:28:22.707Z"} +{"parentUuid":"3e93d170-c093-4129-bf42-9165fef76780","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y4ParwJvXSKBqaKYknXc1k","type":"tool_result","content":"diff --git a/internal/repository/node.go b/internal/repository/node.go\nindex 09415bef..116b9868 100644\n--- a/internal/repository/node.go\n+++ b/internal/repository/node.go\n@@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n \t\tnode := schema.Node{}\n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n@@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n@@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n \n func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n \tquery, qerr := AccessCheck(ctx,\n-\t\tsq.Select(column).\n+\t\tsq.Select(column, \"COUNT(*) as count\").\n \t\t\tFrom(\"node\").\n \t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n-\t\t\tWhere(latestStateCondition()))\n+\t\t\tWhere(latestStateCondition()).\n+\t\t\tGroupBy(column))\n \tif qerr != nil {\n \t\treturn nil, qerr\n \t}\n@@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n-\tstateMap := map[string]int{}\n+\tnodes := make([]*model.NodeStates, 0)\n \tfor rows.Next() {\n \t\tvar state string\n-\t\tif err := rows.Scan(&state); err != nil {\n-\t\t\trows.Close()\n+\t\tvar count int\n+\t\tif err := rows.Scan(&state, &count); err != nil {\n \t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n \t\t\treturn nil, err\n \t\t}\n-\n-\t\tstateMap[state] += 1\n+\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n \t}\n \n-\tnodes := make([]*model.NodeStates, 0)\n-\tfor state, counts := range stateMap {\n-\t\tnode := model.NodeStates{State: state, Count: counts}\n-\t\tnodes = append(nodes, &node)\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n \t}\n \n \treturn nodes, nil\n@@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \trawData := make(map[string][][]int)\n \tfor rows.Next() {\n@@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tvar timestamp, count int\n \n \t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n \t\t\treturn nil, err\n \t\t}\n@@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\trawData[state][1] = append(rawData[state][1], count)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \ttimedStates := make([]*model.NodeStatesTimed, 0)\n \tfor state, data := range rawData {\n \t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\ndiff --git a/internal/repository/stats.go b/internal/repository/stats.go\nindex 0ceb92f2..4a61f62d 100644\n--- a/internal/repository/stats.go\n+++ b/internal/repository/stats.go\n@@ -235,6 +235,7 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -320,6 +321,10 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -440,6 +445,7 @@ func (r *JobRepository) JobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -459,6 +465,10 @@ func (r *JobRepository) JobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -496,6 +506,7 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts := make(map[string]int)\n \n@@ -511,6 +522,10 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tswitch kind {\n \tcase \"running\":\n \t\tfor _, s := range stats {\n@@ -550,23 +565,13 @@ func (r *JobRepository) AddJobCount(\n \tif err != nil {\n \t\treturn nil, err\n \t}\n-\trows, err := query.RunWith(r.DB).Query()\n-\tif err != nil {\n-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n+\tvar cnt sql.NullInt64\n+\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n+\t\tcclog.Warn(\"Error while querying DB for job count\")\n \t\treturn nil, err\n \t}\n \n-\tvar count int\n-\n-\tfor rows.Next() {\n-\t\tvar cnt sql.NullInt64\n-\t\tif err := rows.Scan(&cnt); err != nil {\n-\t\t\tcclog.Warn(\"Error while scanning rows\")\n-\t\t\treturn nil, err\n-\t\t}\n-\n-\t\tcount = int(cnt.Int64)\n-\t}\n+\tcount := int(cnt.Int64)\n \n \tswitch kind {\n \tcase \"running\":\n@@ -755,6 +760,7 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tpoints := make([]*model.HistoPoint, 0)\n \t// is it possible to introduce zero values here? requires info about bincount\n@@ -767,6 +773,11 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \n \t\tpoints = append(points, &point)\n \t}\n+\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -823,6 +834,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Match query results to pre-initialized bins.\n \t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n@@ -841,6 +853,10 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -948,6 +964,7 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Pre-initialize bins with calculated min/max ranges.\n \t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n@@ -976,6 +993,10 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n \n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\ndiff --git a/internal/repository/tags.go b/internal/repository/tags.go\nindex 943dda66..39ccd90d 100644\n--- a/internal/repository/tags.go\n+++ b/internal/repository/tags.go\n@@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer xrows.Close()\n \n \tfor xrows.Next() {\n \t\tvar t schema.Tag\n@@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \t\t}\n \t}\n \n+\tif err := xrows.Err(); err != nil {\n+\t\treturn nil, nil, err\n+\t}\n+\n \t// Query and Count Jobs with attached Tags\n \tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n \t\tFrom(\"tag t\").\n@@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts = make(map[string]int)\n \tfor rows.Next() {\n@@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }","is_error":false}]},"uuid":"be38ae19-5706-47fe-a3ba-1693965df257","timestamp":"2026-03-10T20:28:22.761Z","toolUseResult":{"stdout":"diff --git a/internal/repository/node.go b/internal/repository/node.go\nindex 09415bef..116b9868 100644\n--- a/internal/repository/node.go\n+++ b/internal/repository/node.go\n@@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n \t\tnode := schema.Node{}\n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n@@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n@@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n \n func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n \tquery, qerr := AccessCheck(ctx,\n-\t\tsq.Select(column).\n+\t\tsq.Select(column, \"COUNT(*) as count\").\n \t\t\tFrom(\"node\").\n \t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n-\t\t\tWhere(latestStateCondition()))\n+\t\t\tWhere(latestStateCondition()).\n+\t\t\tGroupBy(column))\n \tif qerr != nil {\n \t\treturn nil, qerr\n \t}\n@@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n-\tstateMap := map[string]int{}\n+\tnodes := make([]*model.NodeStates, 0)\n \tfor rows.Next() {\n \t\tvar state string\n-\t\tif err := rows.Scan(&state); err != nil {\n-\t\t\trows.Close()\n+\t\tvar count int\n+\t\tif err := rows.Scan(&state, &count); err != nil {\n \t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n \t\t\treturn nil, err\n \t\t}\n-\n-\t\tstateMap[state] += 1\n+\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n \t}\n \n-\tnodes := make([]*model.NodeStates, 0)\n-\tfor state, counts := range stateMap {\n-\t\tnode := model.NodeStates{State: state, Count: counts}\n-\t\tnodes = append(nodes, &node)\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n \t}\n \n \treturn nodes, nil\n@@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \trawData := make(map[string][][]int)\n \tfor rows.Next() {\n@@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tvar timestamp, count int\n \n \t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n \t\t\treturn nil, err\n \t\t}\n@@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\trawData[state][1] = append(rawData[state][1], count)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \ttimedStates := make([]*model.NodeStatesTimed, 0)\n \tfor state, data := range rawData {\n \t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\ndiff --git a/internal/repository/stats.go b/internal/repository/stats.go\nindex 0ceb92f2..4a61f62d 100644\n--- a/internal/repository/stats.go\n+++ b/internal/repository/stats.go\n@@ -235,6 +235,7 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -320,6 +321,10 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -440,6 +445,7 @@ func (r *JobRepository) JobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -459,6 +465,10 @@ func (r *JobRepository) JobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -496,6 +506,7 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts := make(map[string]int)\n \n@@ -511,6 +522,10 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tswitch kind {\n \tcase \"running\":\n \t\tfor _, s := range stats {\n@@ -550,23 +565,13 @@ func (r *JobRepository) AddJobCount(\n \tif err != nil {\n \t\treturn nil, err\n \t}\n-\trows, err := query.RunWith(r.DB).Query()\n-\tif err != nil {\n-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n+\tvar cnt sql.NullInt64\n+\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n+\t\tcclog.Warn(\"Error while querying DB for job count\")\n \t\treturn nil, err\n \t}\n \n-\tvar count int\n-\n-\tfor rows.Next() {\n-\t\tvar cnt sql.NullInt64\n-\t\tif err := rows.Scan(&cnt); err != nil {\n-\t\t\tcclog.Warn(\"Error while scanning rows\")\n-\t\t\treturn nil, err\n-\t\t}\n-\n-\t\tcount = int(cnt.Int64)\n-\t}\n+\tcount := int(cnt.Int64)\n \n \tswitch kind {\n \tcase \"running\":\n@@ -755,6 +760,7 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tpoints := make([]*model.HistoPoint, 0)\n \t// is it possible to introduce zero values here? requires info about bincount\n@@ -767,6 +773,11 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \n \t\tpoints = append(points, &point)\n \t}\n+\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -823,6 +834,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Match query results to pre-initialized bins.\n \t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n@@ -841,6 +853,10 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -948,6 +964,7 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Pre-initialize bins with calculated min/max ranges.\n \t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n@@ -976,6 +993,10 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n \n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\ndiff --git a/internal/repository/tags.go b/internal/repository/tags.go\nindex 943dda66..39ccd90d 100644\n--- a/internal/repository/tags.go\n+++ b/internal/repository/tags.go\n@@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer xrows.Close()\n \n \tfor xrows.Next() {\n \t\tvar t schema.Tag\n@@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \t\t}\n \t}\n \n+\tif err := xrows.Err(); err != nil {\n+\t\treturn nil, nil, err\n+\t}\n+\n \t// Query and Count Jobs with attached Tags\n \tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n \t\tFrom(\"tag t\").\n@@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts = make(map[string]int)\n \tfor rows.Next() {\n@@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3e93d170-c093-4129-bf42-9165fef76780"} +{"parentUuid":"be38ae19-5706-47fe-a3ba-1693965df257","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"text","text":"All the changes from the plan are already applied as unstaged modifications. The diff shows:\n\n1. **stats.go**: Added `defer rows.Close()` + `rows.Err()` checks in 6 functions, plus refactored `AddJobCount` to use `QueryRow` instead of `Query`\n2. **tags.go**: Added `defer xrows.Close()`/`defer rows.Close()` + `rows.Err()` checks in 5 locations\n3. **node.go**: Added `defer rows.Close()` + `rows.Err()` checks in 4 functions, removed manual `rows.Close()` calls, plus refactored `CountStates` to use SQL `COUNT(*)`\n\nLet me verify it builds and passes tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"f3c36123-40e0-4ce6-8de3-414a1cb0cacd","timestamp":"2026-03-10T20:28:28.388Z"} 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packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","timestamp":"2026-03-10T20:28:29.777Z"} +{"parentUuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LK6MKJD4okfkXVR4fPcjJb","name":"Bash","input":{"command":"go vet ./internal/repository/...","description":"Run go vet on repository package","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"output_tokens":380,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4683,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"5cfc7c66-6f0a-4c8b-8622-034825cc917a","timestamp":"2026-03-10T20:28:31.458Z"} 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\tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)","is_error":false}]},"uuid":"42e9224e-b8fe-41b4-94c6-d2fefe18f768","timestamp":"2026-03-10T20:28:38.092Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2cd3b216-a399-4422-a49d-02f563fe83f6"} +{"parentUuid":"42e9224e-b8fe-41b4-94c6-d2fefe18f768","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UGJC6wHmHUxD7UjJUuPJf4","type":"message","role":"assistant","content":[{"type":"text","text":"All changes are already in place and verified:\n\n- **Build**: passes\n- **go vet**: passes \n- **Tests**: pass\n\nThe changes are currently unstaged. All 16 locations from the plan have been fixed — `defer rows.Close()` added after each `Query()` error check, manual `rows.Close()` calls in error paths removed, and `rows.Err()` checks added where missing. The `AddJobCount` function was also simplified from `Query` + loop to `QueryRow().Scan()` since it returns a single value."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":130,"cache_read_input_tokens":60942,"output_tokens":128,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":130,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2kVgWi9U9tERiJKavF","type":"assistant","uuid":"ce11169e-bad5-4256-a81e-fd699ff20ad2","timestamp":"2026-03-10T20:28:44.156Z"} 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nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\trows.Close()\n 377→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 378→\t\t\treturn nil, err\n 379→\t\t}\n 380→\t\tnodes = append(nodes, &node)\n 381→\t}\n 382→\n 383→\tif err := rows.Err(); err != nil {\n 384→\t\treturn nil, err\n 385→\t}\n 386→\n 387→\treturn nodes, nil\n 388→}\n 389→\n 390→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 391→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 392→func (r *NodeRepository) QueryNodesWithMeta(\n 393→\tctx context.Context,\n 394→\tfilters []*model.NodeFilter,\n 395→\tpage *model.PageRequest,\n 396→\torder *model.OrderByInput, // Currently unused!\n 397→) ([]*schema.Node, error) {\n 398→\tquery, qerr := AccessCheck(ctx,\n 399→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 400→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 401→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 402→\t\t\tFrom(\"node\").\n 403→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 404→\t\t\tWhere(latestStateCondition()))\n 405→\tif qerr != nil {\n 406→\t\treturn nil, qerr\n 407→\t}\n 408→\n 409→\tquery = applyNodeFilters(query, filters)\n 410→\tquery = query.OrderBy(\"node.hostname ASC\")\n 411→\n 412→\tif page != nil && page.ItemsPerPage != -1 {\n 413→\t\tlimit := uint64(page.ItemsPerPage)\n 414→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 415→\t}\n 416→\n 417→\trows, err := query.RunWith(r.stmtCache).Query()\n 418→\tif err != nil {\n 419→\t\tqueryString, queryVars, _ := query.ToSql()\n 420→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 421→\t\treturn nil, err\n 422→\t}\n 423→\tdefer rows.Close()\n 424→\n 425→\tnodes := make([]*schema.Node, 0)\n 426→\tfor rows.Next() {\n 427→\t\tnode := schema.Node{}\n 428→\t\tRawMetaData := make([]byte, 0)\n 429→\t\tRawMetricHealth := make([]byte, 0)\n 430→\n 431→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 432→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 433→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 434→\t\t\treturn nil, err\n 435→\t\t}\n 436→\n 437→\t\tif len(RawMetaData) == 0 {\n 438→\t\t\tnode.MetaData = nil\n 439→\t\t} else {\n 440→\t\t\tmetaData := make(map[string]string)\n 441→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 442→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 443→\t\t\t\treturn nil, err\n 444→\t\t\t}\n 445→\t\t\tnode.MetaData = metaData\n 446→\t\t}\n 447→\n 448→\t\tif len(RawMetricHealth) == 0 {\n 449→\t\t\tnode.HealthData = nil\n 450→\t\t} else {\n 451→\t\t\thealthData := make(map[string][]string)\n 452→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 453→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 454→\t\t\t\treturn nil, err\n 455→\t\t\t}\n 456→\t\t\tnode.HealthData = healthData\n 457→\t\t}\n 458→\n 459→\t\tnodes = append(nodes, &node)\n 460→\t}\n 461→\n 462→\tif err := rows.Err(); err != nil {\n 463→\t\treturn nil, err\n 464→\t}\n 465→\n 466→\treturn nodes, nil"}]},"uuid":"f8a55f0d-73e1-4280-85aa-ef343d190f3e","timestamp":"2026-03-11T04:07:25.123Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil","numLines":130,"startLine":337,"totalLines":948}},"sourceToolAssistantUUID":"cd7b8a15-367d-4491-a03d-eca92726b7e7"} +{"parentUuid":"f8a55f0d-73e1-4280-85aa-ef343d190f3e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_014Pu7kft3YENEfZaz2Yv1uA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U1HwP2ooazjAESYV6i3dkw","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":550,"limit":115},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":54915,"cache_read_input_tokens":6504,"output_tokens":247,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":54915,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdiz6phEzcK58ZtAMai","type":"assistant","uuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","timestamp":"2026-03-11T04:07:25.954Z"} +{"parentUuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U1HwP2ooazjAESYV6i3dkw","toolUseID":"toolu_01U1HwP2ooazjAESYV6i3dkw","timestamp":"2026-03-11T04:07:25.970Z","uuid":"9142770d-c16e-412f-b3fe-837e02b93008"} +{"parentUuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U1HwP2ooazjAESYV6i3dkw","type":"tool_result","content":" 550→\tquery, qerr := AccessCheck(ctx,\n 551→\t\tsq.Select(\"COUNT(*)\").\n 552→\t\t\tFrom(\"node\").\n 553→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 554→\t\t\tWhere(latestStateCondition()))\n 555→\tif qerr != nil {\n 556→\t\treturn 0, qerr\n 557→\t}\n 558→\n 559→\tquery = applyNodeFilters(query, filters)\n 560→\n 561→\tvar count int\n 562→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 563→\t\tqueryString, queryVars, _ := query.ToSql()\n 564→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 565→\t\treturn 0, err\n 566→\t}\n 567→\n 568→\treturn count, nil\n 569→}\n 570→\n 571→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 572→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 573→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 574→\t\tFrom(\"node\").\n 575→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 576→\t\tWhere(latestStateCondition()).\n 577→\t\tWhere(\"node.cluster = ?\", cluster).\n 578→\t\tOrderBy(\"node.hostname ASC\")\n 579→\n 580→\trows, err := q.RunWith(r.DB).Query()\n 581→\tif err != nil {\n 582→\t\tcclog.Warn(\"Error while querying node list\")\n 583→\t\treturn nil, err\n 584→\t}\n 585→\tnodeList := make([]*schema.Node, 0, 100)\n 586→\tdefer rows.Close()\n 587→\tfor rows.Next() {\n 588→\t\tnode := &schema.Node{}\n 589→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 590→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 591→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 592→\t\t\treturn nil, err\n 593→\t\t}\n 594→\n 595→\t\tnodeList = append(nodeList, node)\n 596→\t}\n 597→\n 598→\treturn nodeList, nil\n 599→}\n 600→\n 601→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 602→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 603→\t\tFrom(\"node\").\n 604→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 605→\t\tWhere(latestStateCondition()).\n 606→\t\tWhere(\"node.cluster = ?\", cluster).\n 607→\t\tOrderBy(\"node.hostname ASC\")\n 608→\n 609→\trows, err := q.RunWith(r.DB).Query()\n 610→\tif err != nil {\n 611→\t\tcclog.Warn(\"Error while querying node list\")\n 612→\t\treturn nil, err\n 613→\t}\n 614→\n 615→\tstateMap := make(map[string]string)\n 616→\tdefer rows.Close()\n 617→\tfor rows.Next() {\n 618→\t\tvar hostname, nodestate string\n 619→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 620→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 621→\t\t\treturn nil, err\n 622→\t\t}\n 623→\n 624→\t\tstateMap[hostname] = nodestate\n 625→\t}\n 626→\n 627→\treturn stateMap, nil\n 628→}\n 629→\n 630→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 631→\tquery, qerr := AccessCheck(ctx,\n 632→\t\tsq.Select(column).\n 633→\t\t\tFrom(\"node\").\n 634→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 635→\t\t\tWhere(latestStateCondition()))\n 636→\tif qerr != nil {\n 637→\t\treturn nil, qerr\n 638→\t}\n 639→\n 640→\tquery = applyNodeFilters(query, filters)\n 641→\n 642→\trows, err := query.RunWith(r.stmtCache).Query()\n 643→\tif err != nil {\n 644→\t\tqueryString, queryVars, _ := query.ToSql()\n 645→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 646→\t\treturn nil, err\n 647→\t}\n 648→\tdefer rows.Close()\n 649→\n 650→\tstateMap := map[string]int{}\n 651→\tfor rows.Next() {\n 652→\t\tvar state string\n 653→\t\tif err := rows.Scan(&state); err != nil {\n 654→\t\t\trows.Close()\n 655→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 656→\t\t\treturn nil, err\n 657→\t\t}\n 658→\n 659→\t\tstateMap[state] += 1\n 660→\t}\n 661→\n 662→\tnodes := make([]*model.NodeStates, 0)\n 663→\tfor rows.Next() {\n 664→\t\tvar state string"}]},"uuid":"58918622-708d-48e7-8b45-7b4048191b81","timestamp":"2026-03-11T04:07:25.969Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string","numLines":115,"startLine":550,"totalLines":948}},"sourceToolAssistantUUID":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a"} +{"parentUuid":"58918622-708d-48e7-8b45-7b4048191b81","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3546},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"27acc90e-b999-4265-b69e-5d2c68aa0743","timestamp":"2026-03-11T04:07:33.960Z"} +{"parentUuid":"27acc90e-b999-4265-b69e-5d2c68aa0743","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"text","text":"There's a problem. `CountStates` has a bad merge — it has both the old and new code mixed together. Let me see the full extent."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3546},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"d4b69b1a-7114-4a16-8f05-8da848273841","timestamp":"2026-03-11T04:07:35.264Z"} +{"parentUuid":"d4b69b1a-7114-4a16-8f05-8da848273841","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AUyqRVoNTf19XGyxjTFZpG","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":630,"limit":80},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"output_tokens":207,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3546,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","timestamp":"2026-03-11T04:07:35.574Z"} +{"parentUuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01AUyqRVoNTf19XGyxjTFZpG","toolUseID":"toolu_01AUyqRVoNTf19XGyxjTFZpG","timestamp":"2026-03-11T04:07:35.602Z","uuid":"83b294cc-a76e-49a9-92e3-d56cb048f779"} +{"parentUuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AUyqRVoNTf19XGyxjTFZpG","type":"tool_result","content":" 630→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 631→\tquery, qerr := AccessCheck(ctx,\n 632→\t\tsq.Select(column).\n 633→\t\t\tFrom(\"node\").\n 634→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 635→\t\t\tWhere(latestStateCondition()))\n 636→\tif qerr != nil {\n 637→\t\treturn nil, qerr\n 638→\t}\n 639→\n 640→\tquery = applyNodeFilters(query, filters)\n 641→\n 642→\trows, err := query.RunWith(r.stmtCache).Query()\n 643→\tif err != nil {\n 644→\t\tqueryString, queryVars, _ := query.ToSql()\n 645→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 646→\t\treturn nil, err\n 647→\t}\n 648→\tdefer rows.Close()\n 649→\n 650→\tstateMap := map[string]int{}\n 651→\tfor rows.Next() {\n 652→\t\tvar state string\n 653→\t\tif err := rows.Scan(&state); err != nil {\n 654→\t\t\trows.Close()\n 655→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 656→\t\t\treturn nil, err\n 657→\t\t}\n 658→\n 659→\t\tstateMap[state] += 1\n 660→\t}\n 661→\n 662→\tnodes := make([]*model.NodeStates, 0)\n 663→\tfor rows.Next() {\n 664→\t\tvar state string\n 665→\t\tvar count int\n 666→\t\tif err := rows.Scan(&state, &count); err != nil {\n 667→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 668→\t\t\treturn nil, err\n 669→\t\t}\n 670→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 671→\t}\n 672→\n 673→\tif err := rows.Err(); err != nil {\n 674→\t\treturn nil, err\n 675→\t}\n 676→\n 677→\treturn nodes, nil\n 678→}\n 679→\n 680→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 681→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 682→\tif qerr != nil {\n 683→\t\treturn nil, qerr\n 684→\t}\n 685→\n 686→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 687→\n 688→\tfor _, f := range filters {\n 689→\t\t// Required\n 690→\t\tif f.TimeStart != nil {\n 691→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 692→\t\t}\n 693→\t\t// Optional\n 694→\t\tif f.Hostname != nil {\n 695→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 696→\t\t}\n 697→\t\tif f.Cluster != nil {\n 698→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 699→\t\t}\n 700→\t\tif f.SubCluster != nil {\n 701→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 702→\t\t}\n 703→\t\tif f.SchedulerState != nil {\n 704→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 705→\t\t}\n 706→\t\tif f.HealthState != nil {\n 707→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 708→\t\t}\n 709→\t}"}]},"uuid":"2f7d5766-5544-4038-8f24-7f612525ee5d","timestamp":"2026-03-11T04:07:35.602Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}","numLines":80,"startLine":630,"totalLines":948}},"sourceToolAssistantUUID":"ee2b4b7b-95a3-4430-a982-0522d80aef32"} +{"parentUuid":"2f7d5766-5544-4038-8f24-7f612525ee5d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H5mPnnD9ESq81nKb9qFx5S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":709,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1255,"cache_read_input_tokens":64965,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1255,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdkQRLEaD44Ptm3Ehiz","type":"assistant","uuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","timestamp":"2026-03-11T04:07:40.999Z"} +{"parentUuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","toolUseID":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","timestamp":"2026-03-11T04:07:41.010Z","uuid":"b5990b7d-089b-47cf-a1e7-794a181599bd"} +{"parentUuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","type":"tool_result","content":" 709→\t}\n 710→\n 711→\t// Add Group and Order\n 712→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 713→\n 714→\trows, err := query.RunWith(r.stmtCache).Query()\n 715→\tif err != nil {\n 716→\t\tqueryString, queryVars, _ := query.ToSql()\n 717→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 718→\t\treturn nil, err\n 719→\t}\n 720→\tdefer rows.Close()\n 721→\n 722→\trawData := make(map[string][][]int)\n 723→\tfor rows.Next() {\n 724→\t\tvar state string\n 725→\t\tvar timestamp, count int\n 726→\n 727→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 728→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 729→\t\t\treturn nil, err\n 730→\t\t}\n 731→\n 732→\t\tif rawData[state] == nil {\n 733→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 734→\t\t}\n 735→\n 736→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 737→\t\trawData[state][1] = append(rawData[state][1], count)\n 738→\t}\n 739→\n 740→\tif err := rows.Err(); err != nil {\n 741→\t\treturn nil, err\n 742→\t}\n 743→\n 744→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 745→\tfor state, data := range rawData {\n 746→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 747→\t\ttimedStates = append(timedStates, &entry)\n 748→\t}\n 749→\n 750→\treturn timedStates, nil\n 751→}\n 752→\n 753→func (r *NodeRepository) GetNodesForList(\n 754→\tctx context.Context,\n 755→\tcluster string,\n 756→\tsubCluster string,\n 757→\tstateFilter string,\n 758→\tnodeFilter string,"}]},"uuid":"ee81181e-f80e-49ac-afe8-fb45c8404a73","timestamp":"2026-03-11T04:07:41.010Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,","numLines":50,"startLine":709,"totalLines":948}},"sourceToolAssistantUUID":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae"} +{"parentUuid":"ee81181e-f80e-49ac-afe8-fb45c8404a73","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017cdTQnvToA5UD9mDsvQHRH","type":"message","role":"assistant","content":[{"type":"text","text":"Found the issues in `CountStates` (lines 630-678):\n\n1. **Duplicate code**: Old manual counting loop (lines 650-660) followed by new SQL-based loop (lines 662-671) — the second `rows.Next()` loop will never execute since the first one already consumed all rows.\n2. **Missing `COUNT(*)` and `GroupBy`** in the SQL query (line 632) — the plan called for `sq.Select(column, \"COUNT(*) as count\")` with `.GroupBy(column)`.\n3. **Leftover `rows.Close()`** on line 654 (redundant with `defer`).\n\nAlso, `QueryNodes` line 376 still has a leftover `rows.Close()`. Let me fix both."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":743,"cache_read_input_tokens":66220,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":743},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdkoepj43XKWB7E18fg","type":"assistant","uuid":"63c36ba6-4ea4-4121-9753-fa3c3c84c007","timestamp":"2026-03-11T04:07:51.484Z"} +{"parentUuid":"63c36ba6-4ea4-4121-9753-fa3c3c84c007","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017cdTQnvToA5UD9mDsvQHRH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014hmC7YKSGak9NngAi3jZwi","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","new_string":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":743,"cache_read_input_tokens":66220,"output_tokens":522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":743,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdkoepj43XKWB7E18fg","type":"assistant","uuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","timestamp":"2026-03-11T04:07:53.997Z"} +{"type":"file-history-snapshot","messageId":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","snapshot":{"messageId":"09c7b7f2-964c-4e0d-b59b-4d19cd1409ca","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v1","version":1,"backupTime":"2026-03-11T04:07:54.013Z"}},"timestamp":"2026-03-11T04:07:15.719Z"},"isSnapshotUpdate":true} +{"parentUuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014hmC7YKSGak9NngAi3jZwi","toolUseID":"toolu_014hmC7YKSGak9NngAi3jZwi","timestamp":"2026-03-11T04:07:54.015Z","uuid":"2130494c-27ae-4f50-9abc-f8ec2fec4940"} +{"parentUuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014hmC7YKSGak9NngAi3jZwi","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"13cf52c1-4c8f-4b6b-8d3d-4ec5ca3cc6bb","timestamp":"2026-03-11T04:07:54.015Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","newString":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\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.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":373,"oldLines":7,"newStart":373,"newLines":6,"lines":[" node := schema.Node{}"," if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,"," &node.NodeState, &node.HealthState); err != nil {","- rows.Close()"," cclog.Warn(\"Error while scanning rows (QueryNodes)\")"," return nil, err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c2493224-048c-4c58-8cc4-ab4f2a649f5b"} +{"parentUuid":"13cf52c1-4c8f-4b6b-8d3d-4ec5ca3cc6bb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01453MiHDKM2BBHfPmZajgkR","type":"message","role":"assistant","content":[{"type":"text","text":"Now fix `CountStates` — replace the entire function body with the correct version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":580,"cache_read_input_tokens":66963,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":580},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdmmQfiAB4WoaXfNpF1","type":"assistant","uuid":"13b7a816-d38b-4f4b-8b02-caa0214da9b7","timestamp":"2026-03-11T04:07:58.171Z"} +{"parentUuid":"13b7a816-d38b-4f4b-8b02-caa0214da9b7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01453MiHDKM2BBHfPmZajgkR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JNBXdZNE2CcELqfTrXdJWz","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","new_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":580,"cache_read_input_tokens":66963,"output_tokens":939,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":580,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdmmQfiAB4WoaXfNpF1","type":"assistant","uuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","timestamp":"2026-03-11T04:08:04.337Z"} +{"parentUuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01JNBXdZNE2CcELqfTrXdJWz","toolUseID":"toolu_01JNBXdZNE2CcELqfTrXdJWz","timestamp":"2026-03-11T04:08:04.348Z","uuid":"3c07d491-3683-4600-b4cc-d813131ffcc5"} +{"parentUuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JNBXdZNE2CcELqfTrXdJWz","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"ddce8aa1-77e4-4d25-b512-d0efc65a8988","timestamp":"2026-03-11T04:08:04.347Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","newString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":628,"oldLines":10,"newStart":628,"newLines":11,"lines":[" "," func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {"," query, qerr := AccessCheck(ctx,","- sq.Select(column).","+ sq.Select(column, \"COUNT(*) as count\")."," From(\"node\")."," Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","+ Where(latestStateCondition()).","+ GroupBy(column))"," if qerr != nil {"," return nil, qerr"," }"]},{"oldStart":646,"oldLines":18,"newStart":647,"newLines":6,"lines":[" }"," defer rows.Close()"," ","- stateMap := map[string]int{}","- for rows.Next() {","- var state string","- if err := rows.Scan(&state); err != nil {","- rows.Close()","- cclog.Warn(\"Error while scanning rows (CountStates)\")","- return nil, err","- }","-","- stateMap[state] += 1","- }","-"," nodes := make([]*model.NodeStates, 0)"," for rows.Next() {"," var state string"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421"} +{"parentUuid":"ddce8aa1-77e4-4d25-b512-d0efc65a8988","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013q3nmYBt8k2LaeJW2CZ7Am","type":"message","role":"assistant","content":[{"type":"text","text":"There's a duplicate `QueryNodesWithMeta`. Let me check the full file structure."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1096,"cache_read_input_tokens":67543,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1096},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnXFu4dN1mWkSj5x9E","type":"assistant","uuid":"d629ac2b-5096-4eca-9a38-3a8a2ba4a93f","timestamp":"2026-03-11T04:08:08.110Z"} +{"parentUuid":"d629ac2b-5096-4eca-9a38-3a8a2ba4a93f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013q3nmYBt8k2LaeJW2CZ7Am","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RzB1yPq8Mc8zixamVW5Grf","name":"Bash","input":{"command":"grep -n 'func (r \\*NodeRepository)' /Users/jan/prg/CC/cc-backend/internal/repository/node.go","description":"List all NodeRepository methods with line numbers"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1096,"cache_read_input_tokens":67543,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1096,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdnXFu4dN1mWkSj5x9E","type":"assistant","uuid":"30331cef-59c9-42e0-b161-aa98afa42073","timestamp":"2026-03-11T04:08:08.781Z"} 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{\n274:func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n312:func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n327:func (r *NodeRepository) DeleteNode(id int64) error {\n339:func (r *NodeRepository) QueryNodes(\n391:func (r *NodeRepository) QueryNodesWithMeta(\n470:func (r *NodeRepository) QueryNodesWithMeta(\n545:func (r *NodeRepository) CountNodes(\n570:func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n600:func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n629:func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n668:func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n741:func (r *NodeRepository) GetNodesForList(","is_error":false}]},"uuid":"55e92ffd-c3fe-4b4b-bf98-725ffba244a5","timestamp":"2026-03-11T04:08:08.827Z","toolUseResult":{"stdout":"87:func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n115:func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n143:func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n182:func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n208:func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n247:// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n274:func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n312:func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n327:func (r *NodeRepository) DeleteNode(id int64) error {\n339:func (r *NodeRepository) QueryNodes(\n391:func (r *NodeRepository) QueryNodesWithMeta(\n470:func (r *NodeRepository) QueryNodesWithMeta(\n545:func (r *NodeRepository) CountNodes(\n570:func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n600:func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n629:func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n668:func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n741:func (r *NodeRepository) GetNodesForList(","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"30331cef-59c9-42e0-b161-aa98afa42073"} +{"parentUuid":"55e92ffd-c3fe-4b4b-bf98-725ffba244a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YYVXjaitpdCf96X6TCtv38","type":"message","role":"assistant","content":[{"type":"text","text":"There's a duplicate `QueryNodesWithMeta` at line 470. The old version wasn't removed. Let me see both."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":68639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":724},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnrVHfCX3fDZXVyMV1","type":"assistant","uuid":"b440e868-d735-4dd3-8b52-544166e6b183","timestamp":"2026-03-11T04:08:13.216Z"} +{"parentUuid":"b440e868-d735-4dd3-8b52-544166e6b183","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YYVXjaitpdCf96X6TCtv38","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015mrTjYeV3vgNyYPU29xG1G","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":465,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":68639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":724},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnrVHfCX3fDZXVyMV1","type":"assistant","uuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","timestamp":"2026-03-11T04:08:13.898Z"} +{"parentUuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015mrTjYeV3vgNyYPU29xG1G","toolUseID":"toolu_015mrTjYeV3vgNyYPU29xG1G","timestamp":"2026-03-11T04:08:13.911Z","uuid":"51dc1ee3-7f8b-4cc9-a8be-be6ecc3f8e61"} +{"parentUuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015mrTjYeV3vgNyYPU29xG1G","type":"tool_result","content":" 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 470→func (r *NodeRepository) QueryNodesWithMeta(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→\tpage *model.PageRequest,\n 474→\torder *model.OrderByInput, // Currently unused!\n 475→) ([]*schema.Node, error) {\n 476→\tquery, qerr := AccessCheck(ctx,\n 477→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 478→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 479→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 480→\t\t\tFrom(\"node\").\n 481→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 482→\t\t\tWhere(latestStateCondition()))\n 483→\tif qerr != nil {\n 484→\t\treturn nil, qerr\n 485→\t}\n 486→\n 487→\tquery = applyNodeFilters(query, filters)\n 488→\tquery = query.OrderBy(\"node.hostname ASC\")\n 489→\n 490→\tif page != nil && page.ItemsPerPage != -1 {\n 491→\t\tlimit := uint64(page.ItemsPerPage)\n 492→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 493→\t}\n 494→\n 495→\trows, err := query.RunWith(r.stmtCache).Query()\n 496→\tif err != nil {\n 497→\t\tqueryString, queryVars, _ := query.ToSql()\n 498→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 499→\t\treturn nil, err\n 500→\t}\n 501→\n 502→\tnodes := make([]*schema.Node, 0)\n 503→\tfor rows.Next() {\n 504→\t\tnode := schema.Node{}\n 505→\t\tRawMetaData := make([]byte, 0)\n 506→\t\tRawMetricHealth := make([]byte, 0)\n 507→\n 508→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 509→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 510→\t\t\trows.Close()\n 511→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 512→\t\t\treturn nil, err\n 513→\t\t}\n 514→\n 515→\t\tif len(RawMetaData) == 0 {\n 516→\t\t\tnode.MetaData = nil\n 517→\t\t} else {\n 518→\t\t\tmetaData := make(map[string]string)\n 519→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 520→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 521→\t\t\t\treturn nil, err\n 522→\t\t\t}\n 523→\t\t\tnode.MetaData = metaData\n 524→\t\t}\n 525→\n 526→\t\tif len(RawMetricHealth) == 0 {\n 527→\t\t\tnode.HealthData = nil\n 528→\t\t} else {\n 529→\t\t\thealthData := make(map[string][]string)\n 530→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 531→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 532→\t\t\t\treturn nil, err\n 533→\t\t\t}\n 534→\t\t\tnode.HealthData = healthData\n 535→\t\t}\n 536→\n 537→\t\tnodes = append(nodes, &node)\n 538→\t}\n 539→\n 540→\treturn nodes, nil\n 541→}\n 542→\n 543→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 544→// on the last state (largest timestamp) per node."}]},"uuid":"fd8f0623-c9af-48c6-8d83-5dcefb1e827b","timestamp":"2026-03-11T04:08:13.911Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.","numLines":80,"startLine":465,"totalLines":936}},"sourceToolAssistantUUID":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a"} +{"parentUuid":"fd8f0623-c9af-48c6-8d83-5dcefb1e827b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YLs6shXdUGMPjeYYVGzAV9","type":"message","role":"assistant","content":[{"type":"text","text":"The second copy (lines 468-541) is the old version — missing `defer rows.Close()`, has manual `rows.Close()`, and no `rows.Err()` check. The fixed copy is at line 391. I need to remove the duplicate."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1246,"cache_read_input_tokens":69363,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1246},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdoEoxxZRF2mc2A8xnL","type":"assistant","uuid":"85e8d7e8-95d5-46f0-935d-ba59278d4f83","timestamp":"2026-03-11T04:08:18.605Z"} +{"parentUuid":"85e8d7e8-95d5-46f0-935d-ba59278d4f83","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YLs6shXdUGMPjeYYVGzAV9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LqkWfq54BKctXf2nsDX3Ro","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates","new_string":"// CountNodes returns the total matched nodes based on a node filter. It always operates"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1246,"cache_read_input_tokens":69363,"output_tokens":1030,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1246,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdoEoxxZRF2mc2A8xnL","type":"assistant","uuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","timestamp":"2026-03-11T04:08:25.077Z"} +{"parentUuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01LqkWfq54BKctXf2nsDX3Ro","toolUseID":"toolu_01LqkWfq54BKctXf2nsDX3Ro","timestamp":"2026-03-11T04:08:25.088Z","uuid":"9da068ba-2caf-48ad-a300-08f5bbbc3018"} +{"parentUuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LqkWfq54BKctXf2nsDX3Ro","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3176d4d0-62ef-4d06-be5b-1204360dd6e3","timestamp":"2026-03-11T04:08:25.088Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates","newString":"// CountNodes returns the total matched nodes based on a node filter. It always operates","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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":465,"oldLines":81,"newStart":465,"newLines":6,"lines":[" return nodes, nil"," }"," ","-// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates","-// on the last state (largest timestamp). It includes both (!) optional JSON column data","-func (r *NodeRepository) QueryNodesWithMeta(","- ctx context.Context,","- filters []*model.NodeFilter,","- page *model.PageRequest,","- order *model.OrderByInput, // Currently unused!","-) ([]*schema.Node, error) {","- query, qerr := AccessCheck(ctx,","- sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",","- \"node_state.node_state\", \"node_state.health_state\",","- \"node.meta_data\", \"node_state.health_metrics\").","- From(\"node\").","- Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","- if qerr != nil {","- return nil, qerr","- }","-","- query = applyNodeFilters(query, filters)","- query = query.OrderBy(\"node.hostname ASC\")","-","- if page != nil && page.ItemsPerPage != -1 {","- limit := uint64(page.ItemsPerPage)","- query = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)","- }","-","- rows, err := query.RunWith(r.stmtCache).Query()","- if err != nil {","- queryString, queryVars, _ := query.ToSql()","- cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)","- return nil, err","- }","-","- nodes := make([]*schema.Node, 0)","- for rows.Next() {","- node := schema.Node{}","- RawMetaData := make([]byte, 0)","- RawMetricHealth := make([]byte, 0)","-","- if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,","- &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {","- rows.Close()","- cclog.Warn(\"Error while scanning rows (QueryNodes)\")","- return nil, err","- }","-","- if len(RawMetaData) == 0 {","- node.MetaData = nil","- } else {","- metaData := make(map[string]string)","- if err := json.Unmarshal(RawMetaData, &metaData); err != nil {","- cclog.Warn(\"Error while unmarshaling raw metadata json\")","- return nil, err","- }","- node.MetaData = metaData","- }","-","- if len(RawMetricHealth) == 0 {","- node.HealthData = nil","- } else {","- healthData := make(map[string][]string)","- if err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {","- cclog.Warn(\"Error while unmarshaling raw healthdata json\")","- return nil, err","- }","- node.HealthData = healthData","- }","-","- nodes = append(nodes, &node)","- }","-","- return nodes, nil","-}","-"," // CountNodes returns the total matched nodes based on a node filter. It always operates"," // on the last state (largest timestamp) per node."," func (r *NodeRepository) CountNodes("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b74d1823-4719-4f3a-984c-86374f73d7e2"} +{"parentUuid":"3176d4d0-62ef-4d06-be5b-1204360dd6e3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JxsCxBEdSte3K53yhiVneF","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also check `CountStatesTimed` for leftover manual `rows.Close()`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1069,"cache_read_input_tokens":70609,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1069},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdp3y8a81KQpWSXB1ty","type":"assistant","uuid":"4060e098-5cf7-4602-95d4-f486a9c4b684","timestamp":"2026-03-11T04:08:30.318Z"} +{"parentUuid":"4060e098-5cf7-4602-95d4-f486a9c4b684","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JxsCxBEdSte3K53yhiVneF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GShpPP9gB5UB2vVBzyRVJF","name":"Grep","input":{"pattern":"rows\\.Close\\(\\)","path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1069,"cache_read_input_tokens":70609,"output_tokens":134,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1069,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdp3y8a81KQpWSXB1ty","type":"assistant","uuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","timestamp":"2026-03-11T04:08:31.326Z"} +{"parentUuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01GShpPP9gB5UB2vVBzyRVJF","toolUseID":"toolu_01GShpPP9gB5UB2vVBzyRVJF","timestamp":"2026-03-11T04:08:31.359Z","uuid":"9c00b78b-83a9-4d3b-a044-bf10dcd49487"} +{"parentUuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GShpPP9gB5UB2vVBzyRVJF","type":"tool_result","content":"291:\tdefer rows.Close()\n369:\tdefer rows.Close()\n422:\tdefer rows.Close()\n510:\tdefer rows.Close()\n540:\tdefer rows.Close()\n573:\tdefer rows.Close()\n633:\tdefer rows.Close()"}]},"uuid":"5be26d95-eaff-4be3-b63c-2ea1c01b44f8","timestamp":"2026-03-11T04:08:31.358Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"291:\tdefer rows.Close()\n369:\tdefer rows.Close()\n422:\tdefer rows.Close()\n510:\tdefer rows.Close()\n540:\tdefer rows.Close()\n573:\tdefer rows.Close()\n633:\tdefer rows.Close()","numLines":7},"sourceToolAssistantUUID":"85e2cc90-2577-47a1-9411-b2eaf1f31858"} +{"parentUuid":"5be26d95-eaff-4be3-b63c-2ea1c01b44f8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018gLF7JThr2NWJhiNiXqim8","type":"message","role":"assistant","content":[{"type":"text","text":"Good — only `defer rows.Close()` calls remain. Let me verify it builds and tests pass."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":71678,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":208},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdpWmvjMc5UchbctFgW","type":"assistant","uuid":"af0c5022-a2bc-48a7-b7eb-6383f81c037e","timestamp":"2026-03-11T04:08:35.587Z"} +{"parentUuid":"af0c5022-a2bc-48a7-b7eb-6383f81c037e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018gLF7JThr2NWJhiNiXqim8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019NWQ2rxmtAfrikAWZPsPuq","name":"Bash","input":{"command":"go build ./... && go vet ./internal/repository/... && go test ./internal/repository/...","description":"Build, vet, and test repository package","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":71678,"output_tokens":139,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":208,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdpWmvjMc5UchbctFgW","type":"assistant","uuid":"aa7818e4-222a-4e02-b1f1-b954e238e938","timestamp":"2026-03-11T04:08:36.776Z"} +{"parentUuid":"aa7818e4-222a-4e02-b1f1-b954e238e938","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019NWQ2rxmtAfrikAWZPsPuq","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.820s","is_error":false}]},"uuid":"e5775dab-139d-4370-9e55-e142e9795a2b","timestamp":"2026-03-11T04:08:44.670Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.820s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"aa7818e4-222a-4e02-b1f1-b954e238e938"} +{"parentUuid":"e5775dab-139d-4370-9e55-e142e9795a2b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YJGUNXVtzo4hc7M5ncwVNB","type":"message","role":"assistant","content":[{"type":"text","text":"All clean. Here's a summary of what was wrong and fixed in `node.go`:\n\n1. **Duplicate `QueryNodesWithMeta`** (lines 468-541): The old unfixed version was left in alongside the fixed version at line 391. Removed the duplicate.\n2. **`CountStates`**: Had both old code (manual `stateMap` counting without SQL `COUNT(*)`) and new code (SQL `COUNT(*) ... GROUP BY`) concatenated together. The second `rows.Next()` loop was dead code since the first loop already consumed all rows. Replaced with the correct version using `SELECT column, COUNT(*) ... GROUP BY column`.\n3. **`QueryNodes` line 376**: Leftover `rows.Close()` inside the scan error path (redundant with `defer`). Removed."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":176,"cache_read_input_tokens":71886,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":176,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdqVezPRnPz94LJufCx","type":"assistant","uuid":"8efed01c-5a20-455e-9406-0c829d9f5e52","timestamp":"2026-03-11T04:08:52.310Z"} +{"parentUuid":"8efed01c-5a20-455e-9406-0c829d9f5e52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09","toolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09","timestamp":"2026-03-11T04:08:52.336Z","uuid":"dc9740de-77cb-4151-baad-b7381fe28576"} +{"parentUuid":"dc9740de-77cb-4151-baad-b7381fe28576","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":514}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-11T04:08:52.850Z","uuid":"b08ec97e-3577-4365-8cc4-0b171d946f5b","toolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09"} +{"parentUuid":"b08ec97e-3577-4365-8cc4-0b171d946f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"turn_duration","durationMs":97132,"timestamp":"2026-03-11T04:08:52.851Z","uuid":"0603a68d-c2dc-4fb5-9ae3-5bd31281a9c7","isMeta":false} diff --git a/dd/d4fa4a7bbb/0/metadata.json b/dd/d4fa4a7bbb/0/metadata.json new file mode 100644 index 00000000..45d5793a --- /dev/null +++ b/dd/d4fa4a7bbb/0/metadata.json @@ -0,0 +1,30 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "ddd4fa4a7bbb", + "session_id": "42401d2e-7d1c-4c0e-abe6-356cb2d48747", + "strategy": "manual-commit", + "created_at": "2026-03-11T04:09:43.830973Z", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "internal/repository/node.go" + ], + "agent": "Claude Code", + "turn_id": "8927e4f0c7b0", + "token_usage": { + "input_tokens": 20, + "cache_creation_tokens": 117849, + "cache_read_tokens": 888905, + "output_tokens": 4998, + "api_call_count": 16 + }, + "initial_attribution": { + "calculated_at": "2026-03-11T04:09:43.697279Z", + "agent_lines": 25, + "human_added": 525, + "human_modified": 0, + "human_removed": 0, + "total_committed": 550, + "agent_percentage": 4.545454545454546 + } +} diff --git a/dd/d4fa4a7bbb/0/prompt.txt b/dd/d4fa4a7bbb/0/prompt.txt new file mode 100644 index 00000000..dc3beb82 --- /dev/null +++ b/dd/d4fa4a7bbb/0/prompt.txt @@ -0,0 +1,97 @@ +Implement the following plan: + +# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries + +## Context + +Production memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns). + +## Findings + +**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close. + +In `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`. + +`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed). + +## Changes Required + +### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()` + +Add `defer rows.Close()` immediately after the `if err != nil` check for each: + +| Line | Function | +|------|----------| +| 233 | `JobsStatsGrouped` | +| 438 | `JobCountGrouped` | +| 494 | `AddJobCountGrouped` | +| 553 | `AddJobCount` | +| 753 | `jobsStatisticsHistogram` | +| 821 | `jobsDurationStatisticsHistogram` | +| 946 | `jobsMetricStatisticsHistogram` | + +Pattern — after each `Query()` error check, add: +```go +rows, err := query.RunWith(r.DB).Query() +if err != nil { + ... + return nil, err +} +defer rows.Close() // <-- ADD THIS +``` + +### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()` + +**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check. + +**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check. + +### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags` + +**Line 508** (`GetTags`): add `defer rows.Close()` after error check. +**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check. +**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check. + +### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()` + +**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375. + +**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427. + +**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569. + +**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633. + +## Summary of All Edits + +| File | Function | Action | +|------|----------|--------| +| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` | +| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` | +| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` | +| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` | +| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` | +| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` | +| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` | +| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` | +| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` | +| `tags.go:513` | `GetTags` | Add `defer rows.Close()` | +| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` | +| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` | +| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 | +| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 | +| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 | +| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 | + +## Verification + +1. `go build ./...` — ensure it compiles +2. `go test ./internal/repository/...` — run repository tests +3. `go vet ./internal/repository/...` — static analysis + + +If 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-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e.jsonl + +--- + +Check if the fixes are correctly merged in nodes.go \ No newline at end of file diff --git a/dd/d4fa4a7bbb/metadata.json b/dd/d4fa4a7bbb/metadata.json new file mode 100644 index 00000000..cd514f55 --- /dev/null +++ b/dd/d4fa4a7bbb/metadata.json @@ -0,0 +1,26 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "ddd4fa4a7bbb", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "internal/repository/node.go" + ], + "sessions": [ + { + "metadata": "/dd/d4fa4a7bbb/0/metadata.json", + "transcript": "/dd/d4fa4a7bbb/0/full.jsonl", + "context": "/dd/d4fa4a7bbb/0/context.md", + "content_hash": "/dd/d4fa4a7bbb/0/content_hash.txt", + "prompt": "/dd/d4fa4a7bbb/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 20, + "cache_creation_tokens": 117849, + "cache_read_tokens": 888905, + "output_tokens": 4998, + "api_call_count": 16 + } +} From 41a089efcf495a91d1d8cdfbf7ea1e49ddb757b8 Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Wed, 11 Mar 2026 05:28:54 +0100 Subject: [PATCH 2/6] Checkpoint: ea70a955214d Entire-Session: 42401d2e-7d1c-4c0e-abe6-356cb2d48747 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/f8831e7-e3b0c4 --- ea/70a955214d/0/content_hash.txt | 1 + ea/70a955214d/0/context.md | 22 +++ ea/70a955214d/0/full.jsonl | 277 +++++++++++++++++++++++++++++++ ea/70a955214d/0/metadata.json | 31 ++++ ea/70a955214d/0/prompt.txt | 101 +++++++++++ ea/70a955214d/metadata.json | 27 +++ 6 files changed, 459 insertions(+) create mode 100644 ea/70a955214d/0/content_hash.txt create mode 100644 ea/70a955214d/0/context.md create mode 100644 ea/70a955214d/0/full.jsonl create mode 100644 ea/70a955214d/0/metadata.json create mode 100644 ea/70a955214d/0/prompt.txt create mode 100644 ea/70a955214d/metadata.json diff --git a/ea/70a955214d/0/content_hash.txt b/ea/70a955214d/0/content_hash.txt new file mode 100644 index 00000000..a5f1d58b --- /dev/null +++ b/ea/70a955214d/0/content_hash.txt @@ -0,0 +1 @@ +sha256:6b13f37bb9b6568e0cd504fb4abdbbf649442cfc23222562a396f6dec7f1e395 \ No newline at end of file diff --git a/ea/70a955214d/0/context.md b/ea/70a955214d/0/context.md new file mode 100644 index 00000000..f87c2f6a --- /dev/null +++ b/ea/70a955214d/0/context.md @@ -0,0 +1,22 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries + +## Context + +Production memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on ev... + +### Prompt 2 + +Check if the fixes are correctly merged in nodes.go + +### Prompt 3 + +There also have to be bugs in jobQuery.go . Especially the following query triggers the memory leak: SELECT * FROM job WHERE job.job_state IN ("completed", "running", "failed") ORDER BY job.start_time DESC LIMIT 1 OFFSET 10; Dig deeper to find the cause. Also investigate why no existing index is used for this query. + diff --git a/ea/70a955214d/0/full.jsonl b/ea/70a955214d/0/full.jsonl new file mode 100644 index 00000000..aaa2acf1 --- /dev/null +++ b/ea/70a955214d/0/full.jsonl @@ -0,0 +1,277 @@ +{"type":"file-history-snapshot","messageId":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","snapshot":{"messageId":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","trackedFileBackups":{},"timestamp":"2026-03-10T20:28:04.723Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"322896ab-55ab-4924-945a-22fa88775d9d","toolUseID":"322896ab-55ab-4924-945a-22fa88775d9d","timestamp":"2026-03-10T20:28:04.680Z","uuid":"43f7de5d-4b54-4e46-80d0-1684a57b9b8c"} +{"parentUuid":"43f7de5d-4b54-4e46-80d0-1684a57b9b8c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\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-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e.jsonl"},"uuid":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","timestamp":"2026-03-10T20:21:15.868Z","planContent":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"} +{"parentUuid":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvcBCkYICxgCKkDNvjsEBG7m8AUSxLbse5/SPf1o2gvRGU5TE3/9lLGflcjfQQxP2dWyWNNScudLkC+sKOejAlWUE5ibngL1rL9gEgw083/g83JsqJHyYSMaDL3UCm4ubVIwGFWMAyIwohkztUd2boV05aaeLOJ68s9QnWLNOQlg2mv7882EIyD+IQnc4iP6BRAFkz6qNvx/Kl8CrJ/o1rOdPLFxnG2xl+hi5jic4m4dGeaCm/Y1oHpQxTIiLflMfNJLp2NqotxwbTRS44wqcvh9U/5cd30zRdn6wYGE8G2MOUXr1PaegMlZQUqZsxvgvK6cI2AkddTLphgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"f80cecdf-6eb2-4a81-9726-050878dade06","timestamp":"2026-03-10T20:28:08.592Z"} +{"parentUuid":"f80cecdf-6eb2-4a81-9726-050878dade06","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","timestamp":"2026-03-10T20:28:09.041Z"} +{"parentUuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","toolUseID":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","timestamp":"2026-03-10T20:28:09.325Z","uuid":"ffde6750-5d48-44aa-bbfe-2dfd7da8c791"} +{"parentUuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRow()\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).Query()\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).Query()\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→"}]},"uuid":"7f1a680f-7c43-449b-a944-a7138fd54adc","timestamp":"2026-03-10T20:28:09.324Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1122,"startLine":1,"totalLines":1122}},"sourceToolAssistantUUID":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17"} +{"parentUuid":"7f1a680f-7c43-449b-a944-a7138fd54adc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EqFC17XFwt2hHXyBKZCvKL","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","timestamp":"2026-03-10T20:28:09.915Z"} +{"parentUuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EqFC17XFwt2hHXyBKZCvKL","toolUseID":"toolu_01EqFC17XFwt2hHXyBKZCvKL","timestamp":"2026-03-10T20:28:09.922Z","uuid":"b234b495-0fc1-4d24-bc4a-d61e2449520e"} +{"parentUuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EqFC17XFwt2hHXyBKZCvKL","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"d876e7a0-04fd-4ff0-8dad-db5321219e9e","timestamp":"2026-03-10T20:28:09.921Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.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 repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91"} +{"parentUuid":"d876e7a0-04fd-4ff0-8dad-db5321219e9e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013F4FMbfADwTJeTCGBWHK1N","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"output_tokens":218,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8257,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","timestamp":"2026-03-10T20:28:10.621Z"} +{"parentUuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013F4FMbfADwTJeTCGBWHK1N","toolUseID":"toolu_013F4FMbfADwTJeTCGBWHK1N","timestamp":"2026-03-10T20:28:10.895Z","uuid":"7231790f-aea1-4fae-a456-7e6c52e1fef0"} +{"parentUuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013F4FMbfADwTJeTCGBWHK1N","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"03596bc8-917d-48f6-9b02-1258c28f41d0","timestamp":"2026-03-10T20:28:10.894Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b"} +{"parentUuid":"03596bc8-917d-48f6-9b02-1258c28f41d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38798},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"b371d234-8353-467b-9d52-1a26f77eab8f","timestamp":"2026-03-10T20:28:19.583Z"} +{"parentUuid":"b371d234-8353-467b-9d52-1a26f77eab8f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"text","text":"All the `defer rows.Close()` calls are already present in the current state of all three files. Let me verify against what's actually changed via git diff."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38798},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"6cb1afa3-0cb5-4855-8f7d-083575c098d0","timestamp":"2026-03-10T20:28:20.419Z"} +{"parentUuid":"6cb1afa3-0cb5-4855-8f7d-083575c098d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y4ParwJvXSKBqaKYknXc1k","name":"Bash","input":{"command":"git diff internal/repository/stats.go internal/repository/tags.go internal/repository/node.go","description":"Show staged/unstaged changes in the three files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"output_tokens":531,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":38798,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"3e93d170-c093-4129-bf42-9165fef76780","timestamp":"2026-03-10T20:28:22.707Z"} +{"parentUuid":"3e93d170-c093-4129-bf42-9165fef76780","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y4ParwJvXSKBqaKYknXc1k","type":"tool_result","content":"diff --git a/internal/repository/node.go b/internal/repository/node.go\nindex 09415bef..116b9868 100644\n--- a/internal/repository/node.go\n+++ b/internal/repository/node.go\n@@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n \t\tnode := schema.Node{}\n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n@@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n@@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n \n func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n \tquery, qerr := AccessCheck(ctx,\n-\t\tsq.Select(column).\n+\t\tsq.Select(column, \"COUNT(*) as count\").\n \t\t\tFrom(\"node\").\n \t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n-\t\t\tWhere(latestStateCondition()))\n+\t\t\tWhere(latestStateCondition()).\n+\t\t\tGroupBy(column))\n \tif qerr != nil {\n \t\treturn nil, qerr\n \t}\n@@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n-\tstateMap := map[string]int{}\n+\tnodes := make([]*model.NodeStates, 0)\n \tfor rows.Next() {\n \t\tvar state string\n-\t\tif err := rows.Scan(&state); err != nil {\n-\t\t\trows.Close()\n+\t\tvar count int\n+\t\tif err := rows.Scan(&state, &count); err != nil {\n \t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n \t\t\treturn nil, err\n \t\t}\n-\n-\t\tstateMap[state] += 1\n+\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n \t}\n \n-\tnodes := make([]*model.NodeStates, 0)\n-\tfor state, counts := range stateMap {\n-\t\tnode := model.NodeStates{State: state, Count: counts}\n-\t\tnodes = append(nodes, &node)\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n \t}\n \n \treturn nodes, nil\n@@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \trawData := make(map[string][][]int)\n \tfor rows.Next() {\n@@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tvar timestamp, count int\n \n \t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n \t\t\treturn nil, err\n \t\t}\n@@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\trawData[state][1] = append(rawData[state][1], count)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \ttimedStates := make([]*model.NodeStatesTimed, 0)\n \tfor state, data := range rawData {\n \t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\ndiff --git a/internal/repository/stats.go b/internal/repository/stats.go\nindex 0ceb92f2..4a61f62d 100644\n--- a/internal/repository/stats.go\n+++ b/internal/repository/stats.go\n@@ -235,6 +235,7 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -320,6 +321,10 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -440,6 +445,7 @@ func (r *JobRepository) JobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -459,6 +465,10 @@ func (r *JobRepository) JobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -496,6 +506,7 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts := make(map[string]int)\n \n@@ -511,6 +522,10 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tswitch kind {\n \tcase \"running\":\n \t\tfor _, s := range stats {\n@@ -550,23 +565,13 @@ func (r *JobRepository) AddJobCount(\n \tif err != nil {\n \t\treturn nil, err\n \t}\n-\trows, err := query.RunWith(r.DB).Query()\n-\tif err != nil {\n-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n+\tvar cnt sql.NullInt64\n+\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n+\t\tcclog.Warn(\"Error while querying DB for job count\")\n \t\treturn nil, err\n \t}\n \n-\tvar count int\n-\n-\tfor rows.Next() {\n-\t\tvar cnt sql.NullInt64\n-\t\tif err := rows.Scan(&cnt); err != nil {\n-\t\t\tcclog.Warn(\"Error while scanning rows\")\n-\t\t\treturn nil, err\n-\t\t}\n-\n-\t\tcount = int(cnt.Int64)\n-\t}\n+\tcount := int(cnt.Int64)\n \n \tswitch kind {\n \tcase \"running\":\n@@ -755,6 +760,7 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tpoints := make([]*model.HistoPoint, 0)\n \t// is it possible to introduce zero values here? requires info about bincount\n@@ -767,6 +773,11 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \n \t\tpoints = append(points, &point)\n \t}\n+\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -823,6 +834,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Match query results to pre-initialized bins.\n \t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n@@ -841,6 +853,10 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -948,6 +964,7 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Pre-initialize bins with calculated min/max ranges.\n \t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n@@ -976,6 +993,10 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n \n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\ndiff --git a/internal/repository/tags.go b/internal/repository/tags.go\nindex 943dda66..39ccd90d 100644\n--- a/internal/repository/tags.go\n+++ b/internal/repository/tags.go\n@@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer xrows.Close()\n \n \tfor xrows.Next() {\n \t\tvar t schema.Tag\n@@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \t\t}\n \t}\n \n+\tif err := xrows.Err(); err != nil {\n+\t\treturn nil, nil, err\n+\t}\n+\n \t// Query and Count Jobs with attached Tags\n \tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n \t\tFrom(\"tag t\").\n@@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts = make(map[string]int)\n \tfor rows.Next() {\n@@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }","is_error":false}]},"uuid":"be38ae19-5706-47fe-a3ba-1693965df257","timestamp":"2026-03-10T20:28:22.761Z","toolUseResult":{"stdout":"diff --git a/internal/repository/node.go b/internal/repository/node.go\nindex 09415bef..116b9868 100644\n--- a/internal/repository/node.go\n+++ b/internal/repository/node.go\n@@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n \t\tnode := schema.Node{}\n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n@@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n@@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n \n func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n \tquery, qerr := AccessCheck(ctx,\n-\t\tsq.Select(column).\n+\t\tsq.Select(column, \"COUNT(*) as count\").\n \t\t\tFrom(\"node\").\n \t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n-\t\t\tWhere(latestStateCondition()))\n+\t\t\tWhere(latestStateCondition()).\n+\t\t\tGroupBy(column))\n \tif qerr != nil {\n \t\treturn nil, qerr\n \t}\n@@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n-\tstateMap := map[string]int{}\n+\tnodes := make([]*model.NodeStates, 0)\n \tfor rows.Next() {\n \t\tvar state string\n-\t\tif err := rows.Scan(&state); err != nil {\n-\t\t\trows.Close()\n+\t\tvar count int\n+\t\tif err := rows.Scan(&state, &count); err != nil {\n \t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n \t\t\treturn nil, err\n \t\t}\n-\n-\t\tstateMap[state] += 1\n+\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n \t}\n \n-\tnodes := make([]*model.NodeStates, 0)\n-\tfor state, counts := range stateMap {\n-\t\tnode := model.NodeStates{State: state, Count: counts}\n-\t\tnodes = append(nodes, &node)\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n \t}\n \n \treturn nodes, nil\n@@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \trawData := make(map[string][][]int)\n \tfor rows.Next() {\n@@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tvar timestamp, count int\n \n \t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n \t\t\treturn nil, err\n \t\t}\n@@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\trawData[state][1] = append(rawData[state][1], count)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \ttimedStates := make([]*model.NodeStatesTimed, 0)\n \tfor state, data := range rawData {\n \t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\ndiff --git a/internal/repository/stats.go b/internal/repository/stats.go\nindex 0ceb92f2..4a61f62d 100644\n--- a/internal/repository/stats.go\n+++ b/internal/repository/stats.go\n@@ -235,6 +235,7 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -320,6 +321,10 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -440,6 +445,7 @@ func (r *JobRepository) JobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -459,6 +465,10 @@ func (r *JobRepository) JobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -496,6 +506,7 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts := make(map[string]int)\n \n@@ -511,6 +522,10 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tswitch kind {\n \tcase \"running\":\n \t\tfor _, s := range stats {\n@@ -550,23 +565,13 @@ func (r *JobRepository) AddJobCount(\n \tif err != nil {\n \t\treturn nil, err\n \t}\n-\trows, err := query.RunWith(r.DB).Query()\n-\tif err != nil {\n-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n+\tvar cnt sql.NullInt64\n+\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n+\t\tcclog.Warn(\"Error while querying DB for job count\")\n \t\treturn nil, err\n \t}\n \n-\tvar count int\n-\n-\tfor rows.Next() {\n-\t\tvar cnt sql.NullInt64\n-\t\tif err := rows.Scan(&cnt); err != nil {\n-\t\t\tcclog.Warn(\"Error while scanning rows\")\n-\t\t\treturn nil, err\n-\t\t}\n-\n-\t\tcount = int(cnt.Int64)\n-\t}\n+\tcount := int(cnt.Int64)\n \n \tswitch kind {\n \tcase \"running\":\n@@ -755,6 +760,7 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tpoints := make([]*model.HistoPoint, 0)\n \t// is it possible to introduce zero values here? requires info about bincount\n@@ -767,6 +773,11 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \n \t\tpoints = append(points, &point)\n \t}\n+\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -823,6 +834,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Match query results to pre-initialized bins.\n \t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n@@ -841,6 +853,10 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -948,6 +964,7 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Pre-initialize bins with calculated min/max ranges.\n \t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n@@ -976,6 +993,10 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n \n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\ndiff --git a/internal/repository/tags.go b/internal/repository/tags.go\nindex 943dda66..39ccd90d 100644\n--- a/internal/repository/tags.go\n+++ b/internal/repository/tags.go\n@@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer xrows.Close()\n \n \tfor xrows.Next() {\n \t\tvar t schema.Tag\n@@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \t\t}\n \t}\n \n+\tif err := xrows.Err(); err != nil {\n+\t\treturn nil, nil, err\n+\t}\n+\n \t// Query and Count Jobs with attached Tags\n \tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n \t\tFrom(\"tag t\").\n@@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts = make(map[string]int)\n \tfor rows.Next() {\n@@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3e93d170-c093-4129-bf42-9165fef76780"} +{"parentUuid":"be38ae19-5706-47fe-a3ba-1693965df257","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"text","text":"All the changes from the plan are already applied as unstaged modifications. The diff shows:\n\n1. **stats.go**: Added `defer rows.Close()` + `rows.Err()` checks in 6 functions, plus refactored `AddJobCount` to use `QueryRow` instead of `Query`\n2. **tags.go**: Added `defer xrows.Close()`/`defer rows.Close()` + `rows.Err()` checks in 5 locations\n3. **node.go**: Added `defer rows.Close()` + `rows.Err()` checks in 4 functions, removed manual `rows.Close()` calls, plus refactored `CountStates` to use SQL `COUNT(*)`\n\nLet me verify it builds and passes tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"f3c36123-40e0-4ce6-8de3-414a1cb0cacd","timestamp":"2026-03-10T20:28:28.388Z"} +{"parentUuid":"f3c36123-40e0-4ce6-8de3-414a1cb0cacd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013fMsgnbebN1jLEoazQk2kG","name":"Bash","input":{"command":"go build ./...","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","timestamp":"2026-03-10T20:28:29.777Z"} +{"parentUuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LK6MKJD4okfkXVR4fPcjJb","name":"Bash","input":{"command":"go vet ./internal/repository/...","description":"Run go vet on repository package","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"output_tokens":380,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4683,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"5cfc7c66-6f0a-4c8b-8622-034825cc917a","timestamp":"2026-03-10T20:28:31.458Z"} +{"parentUuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013fMsgnbebN1jLEoazQk2kG","type":"tool_result","content":"","is_error":false}]},"uuid":"32a019c9-7600-4724-86ac-a053b2999cad","timestamp":"2026-03-10T20:28:34.168Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"051f30af-bc73-4cb9-92cc-4521634ddc3f"} +{"parentUuid":"5cfc7c66-6f0a-4c8b-8622-034825cc917a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LK6MKJD4okfkXVR4fPcjJb","type":"tool_result","content":"","is_error":false}]},"uuid":"1f58403c-646d-44fd-9827-22eebba298cb","timestamp":"2026-03-10T20:28:34.432Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5cfc7c66-6f0a-4c8b-8622-034825cc917a"} +{"parentUuid":"1f58403c-646d-44fd-9827-22eebba298cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013EMx5kS1boKQGTsMskrksL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QvTLjEK55FhP1tvrSKJtrs","name":"Bash","input":{"command":"go test ./internal/repository/...","description":"Run repository tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":423,"cache_read_input_tokens":60519,"output_tokens":95,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":423,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2kE4APJMBP38bZ9fkA","type":"assistant","uuid":"2cd3b216-a399-4422-a49d-02f563fe83f6","timestamp":"2026-03-10T20:28:37.856Z"} +{"parentUuid":"2cd3b216-a399-4422-a49d-02f563fe83f6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QvTLjEK55FhP1tvrSKJtrs","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)","is_error":false}]},"uuid":"42e9224e-b8fe-41b4-94c6-d2fefe18f768","timestamp":"2026-03-10T20:28:38.092Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2cd3b216-a399-4422-a49d-02f563fe83f6"} +{"parentUuid":"42e9224e-b8fe-41b4-94c6-d2fefe18f768","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UGJC6wHmHUxD7UjJUuPJf4","type":"message","role":"assistant","content":[{"type":"text","text":"All changes are already in place and verified:\n\n- **Build**: passes\n- **go vet**: passes \n- **Tests**: pass\n\nThe changes are currently unstaged. All 16 locations from the plan have been fixed — `defer rows.Close()` added after each `Query()` error check, manual `rows.Close()` calls in error paths removed, and `rows.Err()` checks added where missing. The `AddJobCount` function was also simplified from `Query` + loop to `QueryRow().Scan()` since it returns a single value."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":130,"cache_read_input_tokens":60942,"output_tokens":128,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":130,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2kVgWi9U9tERiJKavF","type":"assistant","uuid":"ce11169e-bad5-4256-a81e-fd699ff20ad2","timestamp":"2026-03-10T20:28:44.156Z"} 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nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\trows.Close()\n 377→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 378→\t\t\treturn nil, err\n 379→\t\t}\n 380→\t\tnodes = append(nodes, &node)\n 381→\t}\n 382→\n 383→\tif err := rows.Err(); err != nil {\n 384→\t\treturn nil, err\n 385→\t}\n 386→\n 387→\treturn nodes, nil\n 388→}\n 389→\n 390→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 391→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 392→func (r *NodeRepository) QueryNodesWithMeta(\n 393→\tctx context.Context,\n 394→\tfilters []*model.NodeFilter,\n 395→\tpage *model.PageRequest,\n 396→\torder *model.OrderByInput, // Currently unused!\n 397→) ([]*schema.Node, error) {\n 398→\tquery, qerr := AccessCheck(ctx,\n 399→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 400→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 401→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 402→\t\t\tFrom(\"node\").\n 403→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 404→\t\t\tWhere(latestStateCondition()))\n 405→\tif qerr != nil {\n 406→\t\treturn nil, qerr\n 407→\t}\n 408→\n 409→\tquery = applyNodeFilters(query, filters)\n 410→\tquery = query.OrderBy(\"node.hostname ASC\")\n 411→\n 412→\tif page != nil && page.ItemsPerPage != -1 {\n 413→\t\tlimit := uint64(page.ItemsPerPage)\n 414→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 415→\t}\n 416→\n 417→\trows, err := query.RunWith(r.stmtCache).Query()\n 418→\tif err != nil {\n 419→\t\tqueryString, queryVars, _ := query.ToSql()\n 420→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 421→\t\treturn nil, err\n 422→\t}\n 423→\tdefer rows.Close()\n 424→\n 425→\tnodes := make([]*schema.Node, 0)\n 426→\tfor rows.Next() {\n 427→\t\tnode := schema.Node{}\n 428→\t\tRawMetaData := make([]byte, 0)\n 429→\t\tRawMetricHealth := make([]byte, 0)\n 430→\n 431→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 432→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 433→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 434→\t\t\treturn nil, err\n 435→\t\t}\n 436→\n 437→\t\tif len(RawMetaData) == 0 {\n 438→\t\t\tnode.MetaData = nil\n 439→\t\t} else {\n 440→\t\t\tmetaData := make(map[string]string)\n 441→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 442→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 443→\t\t\t\treturn nil, err\n 444→\t\t\t}\n 445→\t\t\tnode.MetaData = metaData\n 446→\t\t}\n 447→\n 448→\t\tif len(RawMetricHealth) == 0 {\n 449→\t\t\tnode.HealthData = nil\n 450→\t\t} else {\n 451→\t\t\thealthData := make(map[string][]string)\n 452→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 453→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 454→\t\t\t\treturn nil, err\n 455→\t\t\t}\n 456→\t\t\tnode.HealthData = healthData\n 457→\t\t}\n 458→\n 459→\t\tnodes = append(nodes, &node)\n 460→\t}\n 461→\n 462→\tif err := rows.Err(); err != nil {\n 463→\t\treturn nil, err\n 464→\t}\n 465→\n 466→\treturn nodes, nil"}]},"uuid":"f8a55f0d-73e1-4280-85aa-ef343d190f3e","timestamp":"2026-03-11T04:07:25.123Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil","numLines":130,"startLine":337,"totalLines":948}},"sourceToolAssistantUUID":"cd7b8a15-367d-4491-a03d-eca92726b7e7"} +{"parentUuid":"f8a55f0d-73e1-4280-85aa-ef343d190f3e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_014Pu7kft3YENEfZaz2Yv1uA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U1HwP2ooazjAESYV6i3dkw","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":550,"limit":115},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":54915,"cache_read_input_tokens":6504,"output_tokens":247,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":54915,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdiz6phEzcK58ZtAMai","type":"assistant","uuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","timestamp":"2026-03-11T04:07:25.954Z"} +{"parentUuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U1HwP2ooazjAESYV6i3dkw","toolUseID":"toolu_01U1HwP2ooazjAESYV6i3dkw","timestamp":"2026-03-11T04:07:25.970Z","uuid":"9142770d-c16e-412f-b3fe-837e02b93008"} +{"parentUuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U1HwP2ooazjAESYV6i3dkw","type":"tool_result","content":" 550→\tquery, qerr := AccessCheck(ctx,\n 551→\t\tsq.Select(\"COUNT(*)\").\n 552→\t\t\tFrom(\"node\").\n 553→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 554→\t\t\tWhere(latestStateCondition()))\n 555→\tif qerr != nil {\n 556→\t\treturn 0, qerr\n 557→\t}\n 558→\n 559→\tquery = applyNodeFilters(query, filters)\n 560→\n 561→\tvar count int\n 562→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 563→\t\tqueryString, queryVars, _ := query.ToSql()\n 564→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 565→\t\treturn 0, err\n 566→\t}\n 567→\n 568→\treturn count, nil\n 569→}\n 570→\n 571→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 572→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 573→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 574→\t\tFrom(\"node\").\n 575→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 576→\t\tWhere(latestStateCondition()).\n 577→\t\tWhere(\"node.cluster = ?\", cluster).\n 578→\t\tOrderBy(\"node.hostname ASC\")\n 579→\n 580→\trows, err := q.RunWith(r.DB).Query()\n 581→\tif err != nil {\n 582→\t\tcclog.Warn(\"Error while querying node list\")\n 583→\t\treturn nil, err\n 584→\t}\n 585→\tnodeList := make([]*schema.Node, 0, 100)\n 586→\tdefer rows.Close()\n 587→\tfor rows.Next() {\n 588→\t\tnode := &schema.Node{}\n 589→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 590→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 591→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 592→\t\t\treturn nil, err\n 593→\t\t}\n 594→\n 595→\t\tnodeList = append(nodeList, node)\n 596→\t}\n 597→\n 598→\treturn nodeList, nil\n 599→}\n 600→\n 601→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 602→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 603→\t\tFrom(\"node\").\n 604→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 605→\t\tWhere(latestStateCondition()).\n 606→\t\tWhere(\"node.cluster = ?\", cluster).\n 607→\t\tOrderBy(\"node.hostname ASC\")\n 608→\n 609→\trows, err := q.RunWith(r.DB).Query()\n 610→\tif err != nil {\n 611→\t\tcclog.Warn(\"Error while querying node list\")\n 612→\t\treturn nil, err\n 613→\t}\n 614→\n 615→\tstateMap := make(map[string]string)\n 616→\tdefer rows.Close()\n 617→\tfor rows.Next() {\n 618→\t\tvar hostname, nodestate string\n 619→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 620→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 621→\t\t\treturn nil, err\n 622→\t\t}\n 623→\n 624→\t\tstateMap[hostname] = nodestate\n 625→\t}\n 626→\n 627→\treturn stateMap, nil\n 628→}\n 629→\n 630→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 631→\tquery, qerr := AccessCheck(ctx,\n 632→\t\tsq.Select(column).\n 633→\t\t\tFrom(\"node\").\n 634→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 635→\t\t\tWhere(latestStateCondition()))\n 636→\tif qerr != nil {\n 637→\t\treturn nil, qerr\n 638→\t}\n 639→\n 640→\tquery = applyNodeFilters(query, filters)\n 641→\n 642→\trows, err := query.RunWith(r.stmtCache).Query()\n 643→\tif err != nil {\n 644→\t\tqueryString, queryVars, _ := query.ToSql()\n 645→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 646→\t\treturn nil, err\n 647→\t}\n 648→\tdefer rows.Close()\n 649→\n 650→\tstateMap := map[string]int{}\n 651→\tfor rows.Next() {\n 652→\t\tvar state string\n 653→\t\tif err := rows.Scan(&state); err != nil {\n 654→\t\t\trows.Close()\n 655→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 656→\t\t\treturn nil, err\n 657→\t\t}\n 658→\n 659→\t\tstateMap[state] += 1\n 660→\t}\n 661→\n 662→\tnodes := make([]*model.NodeStates, 0)\n 663→\tfor rows.Next() {\n 664→\t\tvar state string"}]},"uuid":"58918622-708d-48e7-8b45-7b4048191b81","timestamp":"2026-03-11T04:07:25.969Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string","numLines":115,"startLine":550,"totalLines":948}},"sourceToolAssistantUUID":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a"} +{"parentUuid":"58918622-708d-48e7-8b45-7b4048191b81","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3546},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"27acc90e-b999-4265-b69e-5d2c68aa0743","timestamp":"2026-03-11T04:07:33.960Z"} +{"parentUuid":"27acc90e-b999-4265-b69e-5d2c68aa0743","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"text","text":"There's a problem. `CountStates` has a bad merge — it has both the old and new code mixed together. Let me see the full extent."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3546},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"d4b69b1a-7114-4a16-8f05-8da848273841","timestamp":"2026-03-11T04:07:35.264Z"} +{"parentUuid":"d4b69b1a-7114-4a16-8f05-8da848273841","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AUyqRVoNTf19XGyxjTFZpG","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":630,"limit":80},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"output_tokens":207,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3546,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","timestamp":"2026-03-11T04:07:35.574Z"} +{"parentUuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01AUyqRVoNTf19XGyxjTFZpG","toolUseID":"toolu_01AUyqRVoNTf19XGyxjTFZpG","timestamp":"2026-03-11T04:07:35.602Z","uuid":"83b294cc-a76e-49a9-92e3-d56cb048f779"} +{"parentUuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AUyqRVoNTf19XGyxjTFZpG","type":"tool_result","content":" 630→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 631→\tquery, qerr := AccessCheck(ctx,\n 632→\t\tsq.Select(column).\n 633→\t\t\tFrom(\"node\").\n 634→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 635→\t\t\tWhere(latestStateCondition()))\n 636→\tif qerr != nil {\n 637→\t\treturn nil, qerr\n 638→\t}\n 639→\n 640→\tquery = applyNodeFilters(query, filters)\n 641→\n 642→\trows, err := query.RunWith(r.stmtCache).Query()\n 643→\tif err != nil {\n 644→\t\tqueryString, queryVars, _ := query.ToSql()\n 645→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 646→\t\treturn nil, err\n 647→\t}\n 648→\tdefer rows.Close()\n 649→\n 650→\tstateMap := map[string]int{}\n 651→\tfor rows.Next() {\n 652→\t\tvar state string\n 653→\t\tif err := rows.Scan(&state); err != nil {\n 654→\t\t\trows.Close()\n 655→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 656→\t\t\treturn nil, err\n 657→\t\t}\n 658→\n 659→\t\tstateMap[state] += 1\n 660→\t}\n 661→\n 662→\tnodes := make([]*model.NodeStates, 0)\n 663→\tfor rows.Next() {\n 664→\t\tvar state string\n 665→\t\tvar count int\n 666→\t\tif err := rows.Scan(&state, &count); err != nil {\n 667→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 668→\t\t\treturn nil, err\n 669→\t\t}\n 670→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 671→\t}\n 672→\n 673→\tif err := rows.Err(); err != nil {\n 674→\t\treturn nil, err\n 675→\t}\n 676→\n 677→\treturn nodes, nil\n 678→}\n 679→\n 680→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 681→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 682→\tif qerr != nil {\n 683→\t\treturn nil, qerr\n 684→\t}\n 685→\n 686→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 687→\n 688→\tfor _, f := range filters {\n 689→\t\t// Required\n 690→\t\tif f.TimeStart != nil {\n 691→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 692→\t\t}\n 693→\t\t// Optional\n 694→\t\tif f.Hostname != nil {\n 695→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 696→\t\t}\n 697→\t\tif f.Cluster != nil {\n 698→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 699→\t\t}\n 700→\t\tif f.SubCluster != nil {\n 701→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 702→\t\t}\n 703→\t\tif f.SchedulerState != nil {\n 704→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 705→\t\t}\n 706→\t\tif f.HealthState != nil {\n 707→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 708→\t\t}\n 709→\t}"}]},"uuid":"2f7d5766-5544-4038-8f24-7f612525ee5d","timestamp":"2026-03-11T04:07:35.602Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}","numLines":80,"startLine":630,"totalLines":948}},"sourceToolAssistantUUID":"ee2b4b7b-95a3-4430-a982-0522d80aef32"} +{"parentUuid":"2f7d5766-5544-4038-8f24-7f612525ee5d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H5mPnnD9ESq81nKb9qFx5S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":709,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1255,"cache_read_input_tokens":64965,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1255,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdkQRLEaD44Ptm3Ehiz","type":"assistant","uuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","timestamp":"2026-03-11T04:07:40.999Z"} +{"parentUuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","toolUseID":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","timestamp":"2026-03-11T04:07:41.010Z","uuid":"b5990b7d-089b-47cf-a1e7-794a181599bd"} +{"parentUuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","type":"tool_result","content":" 709→\t}\n 710→\n 711→\t// Add Group and Order\n 712→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 713→\n 714→\trows, err := query.RunWith(r.stmtCache).Query()\n 715→\tif err != nil {\n 716→\t\tqueryString, queryVars, _ := query.ToSql()\n 717→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 718→\t\treturn nil, err\n 719→\t}\n 720→\tdefer rows.Close()\n 721→\n 722→\trawData := make(map[string][][]int)\n 723→\tfor rows.Next() {\n 724→\t\tvar state string\n 725→\t\tvar timestamp, count int\n 726→\n 727→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 728→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 729→\t\t\treturn nil, err\n 730→\t\t}\n 731→\n 732→\t\tif rawData[state] == nil {\n 733→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 734→\t\t}\n 735→\n 736→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 737→\t\trawData[state][1] = append(rawData[state][1], count)\n 738→\t}\n 739→\n 740→\tif err := rows.Err(); err != nil {\n 741→\t\treturn nil, err\n 742→\t}\n 743→\n 744→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 745→\tfor state, data := range rawData {\n 746→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 747→\t\ttimedStates = append(timedStates, &entry)\n 748→\t}\n 749→\n 750→\treturn timedStates, nil\n 751→}\n 752→\n 753→func (r *NodeRepository) GetNodesForList(\n 754→\tctx context.Context,\n 755→\tcluster string,\n 756→\tsubCluster string,\n 757→\tstateFilter string,\n 758→\tnodeFilter string,"}]},"uuid":"ee81181e-f80e-49ac-afe8-fb45c8404a73","timestamp":"2026-03-11T04:07:41.010Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,","numLines":50,"startLine":709,"totalLines":948}},"sourceToolAssistantUUID":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae"} +{"parentUuid":"ee81181e-f80e-49ac-afe8-fb45c8404a73","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017cdTQnvToA5UD9mDsvQHRH","type":"message","role":"assistant","content":[{"type":"text","text":"Found the issues in `CountStates` (lines 630-678):\n\n1. **Duplicate code**: Old manual counting loop (lines 650-660) followed by new SQL-based loop (lines 662-671) — the second `rows.Next()` loop will never execute since the first one already consumed all rows.\n2. **Missing `COUNT(*)` and `GroupBy`** in the SQL query (line 632) — the plan called for `sq.Select(column, \"COUNT(*) as count\")` with `.GroupBy(column)`.\n3. **Leftover `rows.Close()`** on line 654 (redundant with `defer`).\n\nAlso, `QueryNodes` line 376 still has a leftover `rows.Close()`. Let me fix both."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":743,"cache_read_input_tokens":66220,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":743},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdkoepj43XKWB7E18fg","type":"assistant","uuid":"63c36ba6-4ea4-4121-9753-fa3c3c84c007","timestamp":"2026-03-11T04:07:51.484Z"} +{"parentUuid":"63c36ba6-4ea4-4121-9753-fa3c3c84c007","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017cdTQnvToA5UD9mDsvQHRH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014hmC7YKSGak9NngAi3jZwi","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","new_string":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":743,"cache_read_input_tokens":66220,"output_tokens":522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":743,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdkoepj43XKWB7E18fg","type":"assistant","uuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","timestamp":"2026-03-11T04:07:53.997Z"} +{"type":"file-history-snapshot","messageId":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","snapshot":{"messageId":"09c7b7f2-964c-4e0d-b59b-4d19cd1409ca","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v1","version":1,"backupTime":"2026-03-11T04:07:54.013Z"}},"timestamp":"2026-03-11T04:07:15.719Z"},"isSnapshotUpdate":true} +{"parentUuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014hmC7YKSGak9NngAi3jZwi","toolUseID":"toolu_014hmC7YKSGak9NngAi3jZwi","timestamp":"2026-03-11T04:07:54.015Z","uuid":"2130494c-27ae-4f50-9abc-f8ec2fec4940"} +{"parentUuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014hmC7YKSGak9NngAi3jZwi","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"13cf52c1-4c8f-4b6b-8d3d-4ec5ca3cc6bb","timestamp":"2026-03-11T04:07:54.015Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","newString":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\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.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":373,"oldLines":7,"newStart":373,"newLines":6,"lines":[" node := schema.Node{}"," if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,"," &node.NodeState, &node.HealthState); err != nil {","- rows.Close()"," cclog.Warn(\"Error while scanning rows (QueryNodes)\")"," return nil, err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c2493224-048c-4c58-8cc4-ab4f2a649f5b"} +{"parentUuid":"13cf52c1-4c8f-4b6b-8d3d-4ec5ca3cc6bb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01453MiHDKM2BBHfPmZajgkR","type":"message","role":"assistant","content":[{"type":"text","text":"Now fix `CountStates` — replace the entire function body with the correct version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":580,"cache_read_input_tokens":66963,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":580},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdmmQfiAB4WoaXfNpF1","type":"assistant","uuid":"13b7a816-d38b-4f4b-8b02-caa0214da9b7","timestamp":"2026-03-11T04:07:58.171Z"} +{"parentUuid":"13b7a816-d38b-4f4b-8b02-caa0214da9b7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01453MiHDKM2BBHfPmZajgkR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JNBXdZNE2CcELqfTrXdJWz","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","new_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":580,"cache_read_input_tokens":66963,"output_tokens":939,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":580,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdmmQfiAB4WoaXfNpF1","type":"assistant","uuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","timestamp":"2026-03-11T04:08:04.337Z"} +{"parentUuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01JNBXdZNE2CcELqfTrXdJWz","toolUseID":"toolu_01JNBXdZNE2CcELqfTrXdJWz","timestamp":"2026-03-11T04:08:04.348Z","uuid":"3c07d491-3683-4600-b4cc-d813131ffcc5"} +{"parentUuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JNBXdZNE2CcELqfTrXdJWz","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"ddce8aa1-77e4-4d25-b512-d0efc65a8988","timestamp":"2026-03-11T04:08:04.347Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","newString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":628,"oldLines":10,"newStart":628,"newLines":11,"lines":[" "," func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {"," query, qerr := AccessCheck(ctx,","- sq.Select(column).","+ sq.Select(column, \"COUNT(*) as count\")."," From(\"node\")."," Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","+ Where(latestStateCondition()).","+ GroupBy(column))"," if qerr != nil {"," return nil, qerr"," }"]},{"oldStart":646,"oldLines":18,"newStart":647,"newLines":6,"lines":[" }"," defer rows.Close()"," ","- stateMap := map[string]int{}","- for rows.Next() {","- var state string","- if err := rows.Scan(&state); err != nil {","- rows.Close()","- cclog.Warn(\"Error while scanning rows (CountStates)\")","- return nil, err","- }","-","- stateMap[state] += 1","- }","-"," nodes := make([]*model.NodeStates, 0)"," for rows.Next() {"," var state string"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421"} +{"parentUuid":"ddce8aa1-77e4-4d25-b512-d0efc65a8988","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013q3nmYBt8k2LaeJW2CZ7Am","type":"message","role":"assistant","content":[{"type":"text","text":"There's a duplicate `QueryNodesWithMeta`. Let me check the full file structure."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1096,"cache_read_input_tokens":67543,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1096},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnXFu4dN1mWkSj5x9E","type":"assistant","uuid":"d629ac2b-5096-4eca-9a38-3a8a2ba4a93f","timestamp":"2026-03-11T04:08:08.110Z"} +{"parentUuid":"d629ac2b-5096-4eca-9a38-3a8a2ba4a93f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013q3nmYBt8k2LaeJW2CZ7Am","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RzB1yPq8Mc8zixamVW5Grf","name":"Bash","input":{"command":"grep -n 'func (r \\*NodeRepository)' /Users/jan/prg/CC/cc-backend/internal/repository/node.go","description":"List all NodeRepository methods with line numbers"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1096,"cache_read_input_tokens":67543,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1096,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdnXFu4dN1mWkSj5x9E","type":"assistant","uuid":"30331cef-59c9-42e0-b161-aa98afa42073","timestamp":"2026-03-11T04:08:08.781Z"} 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{\n274:func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n312:func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n327:func (r *NodeRepository) DeleteNode(id int64) error {\n339:func (r *NodeRepository) QueryNodes(\n391:func (r *NodeRepository) QueryNodesWithMeta(\n470:func (r *NodeRepository) QueryNodesWithMeta(\n545:func (r *NodeRepository) CountNodes(\n570:func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n600:func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n629:func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n668:func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n741:func (r *NodeRepository) GetNodesForList(","is_error":false}]},"uuid":"55e92ffd-c3fe-4b4b-bf98-725ffba244a5","timestamp":"2026-03-11T04:08:08.827Z","toolUseResult":{"stdout":"87:func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n115:func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n143:func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n182:func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n208:func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n247:// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n274:func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n312:func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n327:func (r *NodeRepository) DeleteNode(id int64) error {\n339:func (r *NodeRepository) QueryNodes(\n391:func (r *NodeRepository) QueryNodesWithMeta(\n470:func (r *NodeRepository) QueryNodesWithMeta(\n545:func (r *NodeRepository) CountNodes(\n570:func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n600:func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n629:func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n668:func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n741:func (r *NodeRepository) GetNodesForList(","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"30331cef-59c9-42e0-b161-aa98afa42073"} +{"parentUuid":"55e92ffd-c3fe-4b4b-bf98-725ffba244a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YYVXjaitpdCf96X6TCtv38","type":"message","role":"assistant","content":[{"type":"text","text":"There's a duplicate `QueryNodesWithMeta` at line 470. The old version wasn't removed. Let me see both."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":68639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":724},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnrVHfCX3fDZXVyMV1","type":"assistant","uuid":"b440e868-d735-4dd3-8b52-544166e6b183","timestamp":"2026-03-11T04:08:13.216Z"} +{"parentUuid":"b440e868-d735-4dd3-8b52-544166e6b183","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YYVXjaitpdCf96X6TCtv38","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015mrTjYeV3vgNyYPU29xG1G","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":465,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":68639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":724},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnrVHfCX3fDZXVyMV1","type":"assistant","uuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","timestamp":"2026-03-11T04:08:13.898Z"} +{"parentUuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015mrTjYeV3vgNyYPU29xG1G","toolUseID":"toolu_015mrTjYeV3vgNyYPU29xG1G","timestamp":"2026-03-11T04:08:13.911Z","uuid":"51dc1ee3-7f8b-4cc9-a8be-be6ecc3f8e61"} +{"parentUuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015mrTjYeV3vgNyYPU29xG1G","type":"tool_result","content":" 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 470→func (r *NodeRepository) QueryNodesWithMeta(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→\tpage *model.PageRequest,\n 474→\torder *model.OrderByInput, // Currently unused!\n 475→) ([]*schema.Node, error) {\n 476→\tquery, qerr := AccessCheck(ctx,\n 477→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 478→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 479→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 480→\t\t\tFrom(\"node\").\n 481→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 482→\t\t\tWhere(latestStateCondition()))\n 483→\tif qerr != nil {\n 484→\t\treturn nil, qerr\n 485→\t}\n 486→\n 487→\tquery = applyNodeFilters(query, filters)\n 488→\tquery = query.OrderBy(\"node.hostname ASC\")\n 489→\n 490→\tif page != nil && page.ItemsPerPage != -1 {\n 491→\t\tlimit := uint64(page.ItemsPerPage)\n 492→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 493→\t}\n 494→\n 495→\trows, err := query.RunWith(r.stmtCache).Query()\n 496→\tif err != nil {\n 497→\t\tqueryString, queryVars, _ := query.ToSql()\n 498→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 499→\t\treturn nil, err\n 500→\t}\n 501→\n 502→\tnodes := make([]*schema.Node, 0)\n 503→\tfor rows.Next() {\n 504→\t\tnode := schema.Node{}\n 505→\t\tRawMetaData := make([]byte, 0)\n 506→\t\tRawMetricHealth := make([]byte, 0)\n 507→\n 508→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 509→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 510→\t\t\trows.Close()\n 511→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 512→\t\t\treturn nil, err\n 513→\t\t}\n 514→\n 515→\t\tif len(RawMetaData) == 0 {\n 516→\t\t\tnode.MetaData = nil\n 517→\t\t} else {\n 518→\t\t\tmetaData := make(map[string]string)\n 519→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 520→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 521→\t\t\t\treturn nil, err\n 522→\t\t\t}\n 523→\t\t\tnode.MetaData = metaData\n 524→\t\t}\n 525→\n 526→\t\tif len(RawMetricHealth) == 0 {\n 527→\t\t\tnode.HealthData = nil\n 528→\t\t} else {\n 529→\t\t\thealthData := make(map[string][]string)\n 530→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 531→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 532→\t\t\t\treturn nil, err\n 533→\t\t\t}\n 534→\t\t\tnode.HealthData = healthData\n 535→\t\t}\n 536→\n 537→\t\tnodes = append(nodes, &node)\n 538→\t}\n 539→\n 540→\treturn nodes, nil\n 541→}\n 542→\n 543→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 544→// on the last state (largest timestamp) per node."}]},"uuid":"fd8f0623-c9af-48c6-8d83-5dcefb1e827b","timestamp":"2026-03-11T04:08:13.911Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.","numLines":80,"startLine":465,"totalLines":936}},"sourceToolAssistantUUID":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a"} +{"parentUuid":"fd8f0623-c9af-48c6-8d83-5dcefb1e827b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YLs6shXdUGMPjeYYVGzAV9","type":"message","role":"assistant","content":[{"type":"text","text":"The second copy (lines 468-541) is the old version — missing `defer rows.Close()`, has manual `rows.Close()`, and no `rows.Err()` check. The fixed copy is at line 391. I need to remove the duplicate."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1246,"cache_read_input_tokens":69363,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1246},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdoEoxxZRF2mc2A8xnL","type":"assistant","uuid":"85e8d7e8-95d5-46f0-935d-ba59278d4f83","timestamp":"2026-03-11T04:08:18.605Z"} +{"parentUuid":"85e8d7e8-95d5-46f0-935d-ba59278d4f83","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YLs6shXdUGMPjeYYVGzAV9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LqkWfq54BKctXf2nsDX3Ro","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates","new_string":"// CountNodes returns the total matched nodes based on a node filter. It always operates"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1246,"cache_read_input_tokens":69363,"output_tokens":1030,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1246,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdoEoxxZRF2mc2A8xnL","type":"assistant","uuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","timestamp":"2026-03-11T04:08:25.077Z"} +{"parentUuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01LqkWfq54BKctXf2nsDX3Ro","toolUseID":"toolu_01LqkWfq54BKctXf2nsDX3Ro","timestamp":"2026-03-11T04:08:25.088Z","uuid":"9da068ba-2caf-48ad-a300-08f5bbbc3018"} +{"parentUuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LqkWfq54BKctXf2nsDX3Ro","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3176d4d0-62ef-4d06-be5b-1204360dd6e3","timestamp":"2026-03-11T04:08:25.088Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates","newString":"// CountNodes returns the total matched nodes based on a node filter. It always operates","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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":465,"oldLines":81,"newStart":465,"newLines":6,"lines":[" return nodes, nil"," }"," ","-// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates","-// on the last state (largest timestamp). It includes both (!) optional JSON column data","-func (r *NodeRepository) QueryNodesWithMeta(","- ctx context.Context,","- filters []*model.NodeFilter,","- page *model.PageRequest,","- order *model.OrderByInput, // Currently unused!","-) ([]*schema.Node, error) {","- query, qerr := AccessCheck(ctx,","- sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",","- \"node_state.node_state\", \"node_state.health_state\",","- \"node.meta_data\", \"node_state.health_metrics\").","- From(\"node\").","- Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","- if qerr != nil {","- return nil, qerr","- }","-","- query = applyNodeFilters(query, filters)","- query = query.OrderBy(\"node.hostname ASC\")","-","- if page != nil && page.ItemsPerPage != -1 {","- limit := uint64(page.ItemsPerPage)","- query = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)","- }","-","- rows, err := query.RunWith(r.stmtCache).Query()","- if err != nil {","- queryString, queryVars, _ := query.ToSql()","- cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)","- return nil, err","- }","-","- nodes := make([]*schema.Node, 0)","- for rows.Next() {","- node := schema.Node{}","- RawMetaData := make([]byte, 0)","- RawMetricHealth := make([]byte, 0)","-","- if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,","- &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {","- rows.Close()","- cclog.Warn(\"Error while scanning rows (QueryNodes)\")","- return nil, err","- }","-","- if len(RawMetaData) == 0 {","- node.MetaData = nil","- } else {","- metaData := make(map[string]string)","- if err := json.Unmarshal(RawMetaData, &metaData); err != nil {","- cclog.Warn(\"Error while unmarshaling raw metadata json\")","- return nil, err","- }","- node.MetaData = metaData","- }","-","- if len(RawMetricHealth) == 0 {","- node.HealthData = nil","- } else {","- healthData := make(map[string][]string)","- if err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {","- cclog.Warn(\"Error while unmarshaling raw healthdata json\")","- return nil, err","- }","- node.HealthData = healthData","- }","-","- nodes = append(nodes, &node)","- }","-","- return nodes, nil","-}","-"," // CountNodes returns the total matched nodes based on a node filter. It always operates"," // on the last state (largest timestamp) per node."," func (r *NodeRepository) CountNodes("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b74d1823-4719-4f3a-984c-86374f73d7e2"} +{"parentUuid":"3176d4d0-62ef-4d06-be5b-1204360dd6e3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JxsCxBEdSte3K53yhiVneF","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also check `CountStatesTimed` for leftover manual `rows.Close()`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1069,"cache_read_input_tokens":70609,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1069},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdp3y8a81KQpWSXB1ty","type":"assistant","uuid":"4060e098-5cf7-4602-95d4-f486a9c4b684","timestamp":"2026-03-11T04:08:30.318Z"} +{"parentUuid":"4060e098-5cf7-4602-95d4-f486a9c4b684","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JxsCxBEdSte3K53yhiVneF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GShpPP9gB5UB2vVBzyRVJF","name":"Grep","input":{"pattern":"rows\\.Close\\(\\)","path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1069,"cache_read_input_tokens":70609,"output_tokens":134,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1069,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdp3y8a81KQpWSXB1ty","type":"assistant","uuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","timestamp":"2026-03-11T04:08:31.326Z"} +{"parentUuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01GShpPP9gB5UB2vVBzyRVJF","toolUseID":"toolu_01GShpPP9gB5UB2vVBzyRVJF","timestamp":"2026-03-11T04:08:31.359Z","uuid":"9c00b78b-83a9-4d3b-a044-bf10dcd49487"} +{"parentUuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GShpPP9gB5UB2vVBzyRVJF","type":"tool_result","content":"291:\tdefer rows.Close()\n369:\tdefer rows.Close()\n422:\tdefer rows.Close()\n510:\tdefer rows.Close()\n540:\tdefer rows.Close()\n573:\tdefer rows.Close()\n633:\tdefer rows.Close()"}]},"uuid":"5be26d95-eaff-4be3-b63c-2ea1c01b44f8","timestamp":"2026-03-11T04:08:31.358Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"291:\tdefer rows.Close()\n369:\tdefer rows.Close()\n422:\tdefer rows.Close()\n510:\tdefer rows.Close()\n540:\tdefer rows.Close()\n573:\tdefer rows.Close()\n633:\tdefer rows.Close()","numLines":7},"sourceToolAssistantUUID":"85e2cc90-2577-47a1-9411-b2eaf1f31858"} +{"parentUuid":"5be26d95-eaff-4be3-b63c-2ea1c01b44f8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018gLF7JThr2NWJhiNiXqim8","type":"message","role":"assistant","content":[{"type":"text","text":"Good — only `defer rows.Close()` calls remain. Let me verify it builds and tests pass."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":71678,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":208},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdpWmvjMc5UchbctFgW","type":"assistant","uuid":"af0c5022-a2bc-48a7-b7eb-6383f81c037e","timestamp":"2026-03-11T04:08:35.587Z"} +{"parentUuid":"af0c5022-a2bc-48a7-b7eb-6383f81c037e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018gLF7JThr2NWJhiNiXqim8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019NWQ2rxmtAfrikAWZPsPuq","name":"Bash","input":{"command":"go build ./... && go vet ./internal/repository/... && go test ./internal/repository/...","description":"Build, vet, and test repository package","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":71678,"output_tokens":139,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":208,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdpWmvjMc5UchbctFgW","type":"assistant","uuid":"aa7818e4-222a-4e02-b1f1-b954e238e938","timestamp":"2026-03-11T04:08:36.776Z"} +{"parentUuid":"aa7818e4-222a-4e02-b1f1-b954e238e938","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019NWQ2rxmtAfrikAWZPsPuq","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.820s","is_error":false}]},"uuid":"e5775dab-139d-4370-9e55-e142e9795a2b","timestamp":"2026-03-11T04:08:44.670Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.820s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"aa7818e4-222a-4e02-b1f1-b954e238e938"} +{"parentUuid":"e5775dab-139d-4370-9e55-e142e9795a2b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YJGUNXVtzo4hc7M5ncwVNB","type":"message","role":"assistant","content":[{"type":"text","text":"All clean. Here's a summary of what was wrong and fixed in `node.go`:\n\n1. **Duplicate `QueryNodesWithMeta`** (lines 468-541): The old unfixed version was left in alongside the fixed version at line 391. Removed the duplicate.\n2. **`CountStates`**: Had both old code (manual `stateMap` counting without SQL `COUNT(*)`) and new code (SQL `COUNT(*) ... GROUP BY`) concatenated together. The second `rows.Next()` loop was dead code since the first loop already consumed all rows. Replaced with the correct version using `SELECT column, COUNT(*) ... GROUP BY column`.\n3. **`QueryNodes` line 376**: Leftover `rows.Close()` inside the scan error path (redundant with `defer`). Removed."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":176,"cache_read_input_tokens":71886,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":176,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdqVezPRnPz94LJufCx","type":"assistant","uuid":"8efed01c-5a20-455e-9406-0c829d9f5e52","timestamp":"2026-03-11T04:08:52.310Z"} +{"parentUuid":"8efed01c-5a20-455e-9406-0c829d9f5e52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09","toolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09","timestamp":"2026-03-11T04:08:52.336Z","uuid":"dc9740de-77cb-4151-baad-b7381fe28576"} +{"parentUuid":"dc9740de-77cb-4151-baad-b7381fe28576","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":514}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-11T04:08:52.850Z","uuid":"b08ec97e-3577-4365-8cc4-0b171d946f5b","toolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09"} +{"parentUuid":"b08ec97e-3577-4365-8cc4-0b171d946f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"turn_duration","durationMs":97132,"timestamp":"2026-03-11T04:08:52.851Z","uuid":"0603a68d-c2dc-4fb5-9ae3-5bd31281a9c7","isMeta":false} +{"type":"file-history-snapshot","messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","snapshot":{"messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v2","version":2,"backupTime":"2026-03-11T04:13:22.586Z"}},"timestamp":"2026-03-11T04:13:22.585Z"},"isSnapshotUpdate":false} +{"parentUuid":"0603a68d-c2dc-4fb5-9ae3-5bd31281a9c7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"There also have to be bugs in jobQuery.go . Especially the following query triggers the memory leak: SELECT * FROM job WHERE job.job_state IN (\"completed\", \"running\", \"failed\") ORDER BY job.start_time DESC LIMIT 1 OFFSET 10; Dig deeper to find the cause. Also investigate why no existing index is used for this query."},"uuid":"ed8d6788-a2e9-4403-ace5-3763e3650eee","timestamp":"2026-03-11T04:13:22.111Z","permissionMode":"acceptEdits"} +{"parentUuid":"ed8d6788-a2e9-4403-ace5-3763e3650eee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0181D2cZZfAxisVWH26wzt3B","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvgBCkYICxgCKkBNfABi0Fuz/fyo/+V+f7+abZ5JnLMSeUMCsLFB2yMInGKmkpb/A0cfBTTtzpWtVwIZC3RuRrOoMzzSaDVu2aPsEgzqF+/AXnEK3x6OTQ4aDBP7DszWzMFplAigLSIwhLfvFx4SJ3jISS78asK8Aqcs5/F5nRrs6w8JDlhWS3sh+MveNA4avNzLqlgjT5k0KmAkwEvoLatUR4ZBAS0K6zaF4GnrBfo2AeGxEPx5SPEO3gra8wFH7bCNkACl678VtVUxaJ369o6j01iWY7w2GfBOEpRFnpuSD0JhmGChDMUkV9jEjIsRCSdg9GmaKIJNHo0YAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":325,"cache_read_input_tokens":72062,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":325},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveBz65j16JQyeSPXgxz","type":"assistant","uuid":"0dce20d8-08c8-489e-9881-8aa80040b2a4","timestamp":"2026-03-11T04:13:29.108Z"} +{"parentUuid":"0dce20d8-08c8-489e-9881-8aa80040b2a4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0181D2cZZfAxisVWH26wzt3B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":325,"cache_read_input_tokens":72062,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":325,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveBz65j16JQyeSPXgxz","type":"assistant","uuid":"880da1fd-d769-497c-b577-bd3075d1274f","timestamp":"2026-03-11T04:13:29.110Z"} +{"parentUuid":"880da1fd-d769-497c-b577-bd3075d1274f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","toolUseID":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","timestamp":"2026-03-11T04:13:29.121Z","uuid":"5c7b8a53-ac11-4ef1-9f6a-eced9f1f991d"} +{"parentUuid":"880da1fd-d769-497c-b577-bd3075d1274f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\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/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"ac9cb846-b477-4185-82a4-6ddb1026b600","timestamp":"2026-03-11T04:13:29.120Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.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 repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\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\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":439,"startLine":1,"totalLines":439}},"sourceToolAssistantUUID":"880da1fd-d769-497c-b577-bd3075d1274f"} 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+{"parentUuid":"62d8e6c2-ce02-4e2d-b716-828b6a4e6f6d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XAhjZ5auRR2Xcwv9xUURDX","type":"message","role":"assistant","content":[{"type":"text","text":"`QueryJobs` itself looks correct (has `defer rows.Close()` and `rows.Err()`). Let me search for other `.Query()` calls missing close, and look at the database indexes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7104,"cache_read_input_tokens":72387,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7104},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveCTtfMnj42o1ER5qwK","type":"assistant","uuid":"fb0fc389-5424-4901-846d-5ae1666f6e61","timestamp":"2026-03-11T04:13:40.874Z"} +{"parentUuid":"fb0fc389-5424-4901-846d-5ae1666f6e61","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XAhjZ5auRR2Xcwv9xUURDX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","name":"Agent","input":{"description":"Find all Query() calls missing defer rows.Close()","subagent_type":"Explore","prompt":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7104,"cache_read_input_tokens":72387,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7104},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveCTtfMnj42o1ER5qwK","type":"assistant","uuid":"c3361e4b-5df7-46eb-b020-0a86629777c1","timestamp":"2026-03-11T04:13:45.882Z"} +{"parentUuid":"c3361e4b-5df7-46eb-b020-0a86629777c1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"3ddd06b9-56c8-4de0-8521-8c0b78737c7a","timestamp":"2026-03-11T04:13:45.887Z"} +{"parentUuid":"3ddd06b9-56c8-4de0-8521-8c0b78737c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close."}]},"uuid":"913ad3f9-a308-4c51-87e6-2c2b59afc3d6","timestamp":"2026-03-11T04:13:46.177Z"},"type":"agent_progress","prompt":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close.","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"25dabce0-d5e7-46be-8ee8-4b0b41e2022c","timestamp":"2026-03-11T04:13:46.178Z"} 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+{"parentUuid":"b6c1edd2-56c4-49f1-8d60-b051c7c2215c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017BgDvZhmq5zfLxvd9LCbmf","type":"tool_result","content":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go\n/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go\n/Users/jan/prg/CC/cc-backend/internal/repository/hooks.go\n/Users/jan/prg/CC/cc-backend/internal/repository/hooks_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobHooks.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go\n/Users/jan/prg/CC/cc-backend/internal/repository/job_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/migration.go\n/Users/jan/prg/CC/cc-backend/internal/repository/node_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/repository_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go\n/Users/jan/prg/CC/cc-backend/internal/repository/stats_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go\n/Users/jan/prg/CC/cc-backend/internal/repository/transaction.go\n/Users/jan/prg/CC/cc-backend/internal/repository/transaction_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go\n/Users/jan/prg/CC/cc-backend/internal/repository/userConfig.go\n/Users/jan/prg/CC/cc-backend/internal/repository/userConfig_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/user_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go"}]},"uuid":"f1a09424-62ad-40c3-971c-a917bde1c7c3","timestamp":"2026-03-11T04:13:48.132Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"f3506693-1bf1-42ff-b6d6-4cecd9017a13","timestamp":"2026-03-11T04:13:48.177Z"} +{"parentUuid":"f3506693-1bf1-42ff-b6d6-4cecd9017a13","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:49.655Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YTseKy7zi2ziU5tYJFQG5w","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ha11vDx4nLasF8aPe1XZBs","name":"Grep","input":{"pattern":"\\.Query[x]?\\(","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":692,"cache_read_input_tokens":16585,"cache_creation":{"ephemeral_5m_input_tokens":692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveDsS37pbavBz9UYPVe","uuid":"4fe5f6d3-5382-427a-8ff7-daf7e9de0fa7"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"25fadfa2-4994-4b00-a05d-e1c78c1939b5","timestamp":"2026-03-11T04:13:49.657Z"} +{"parentUuid":"25fadfa2-4994-4b00-a05d-e1c78c1939b5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ha11vDx4nLasF8aPe1XZBs","type":"tool_result","content":"internal/repository/node.go:287:\t\tRunWith(r.DB).Query()\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:416:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:504:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:533:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:567:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:627:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:282:\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\ninternal/repository/tags.go:338:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:514:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:552:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:595:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/user.go:100:\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\ninternal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/userConfig.go:68:\t\trows, err := uCfg.Lookup.Query(user.Username)\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\ninternal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:443:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:504:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:758:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:832:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:962:\trows, err := mainQuery.RunWith(r.DB).Query()\ninternal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\ninternal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()"}]},"uuid":"e47df04f-8920-4249-ade3-8fd149f7428b","timestamp":"2026-03-11T04:13:49.690Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"3e44deed-9130-4de7-aa4d-11c9f22f39be","timestamp":"2026-03-11T04:13:49.691Z"} +{"parentUuid":"3e44deed-9130-4de7-aa4d-11c9f22f39be","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XAhjZ5auRR2Xcwv9xUURDX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014DwjD4CYK5HxpUYGgGmVAy","name":"Agent","input":{"description":"Find database indexes and migrations","subagent_type":"Explore","prompt":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7104,"cache_read_input_tokens":72387,"output_tokens":755,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7104,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveCTtfMnj42o1ER5qwK","type":"assistant","uuid":"43e2b0d9-7514-4e1f-a562-e90e75ff1eed","timestamp":"2026-03-11T04:13:49.844Z"} +{"parentUuid":"43e2b0d9-7514-4e1f-a562-e90e75ff1eed","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"0ab50947-a6cf-4414-91ad-a5d983310741","timestamp":"2026-03-11T04:13:49.845Z"} +{"parentUuid":"0ab50947-a6cf-4414-91ad-a5d983310741","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover."}]},"uuid":"93a149a2-5105-4511-8cef-6471da42da7a","timestamp":"2026-03-11T04:13:50.095Z"},"type":"agent_progress","prompt":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover.","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"bd6b51af-dc19-419d-9f90-1992e9f31d44","timestamp":"2026-03-11T04:13:50.095Z"} 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+{"parentUuid":"3b986300-6cfa-48d5-8ef0-cfadb39e383a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcK2pX3F2fFiCzHEzws418","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"eb1948f5-9c66-4819-a463-44a831c94f54","timestamp":"2026-03-11T04:13:51.840Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"e9ad61b0-0094-474b-8f33-7a52541639a5","timestamp":"2026-03-11T04:13:51.976Z"} +{"parentUuid":"e9ad61b0-0094-474b-8f33-7a52541639a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138ScDqRkQS1L1N7QBYe1d9","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\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/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"bf90e28e-8016-4901-a7fc-7be819dabe49","timestamp":"2026-03-11T04:13:51.800Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"7592f8ec-585e-4a1a-b6e1-f7e5165ec19a","timestamp":"2026-03-11T04:13:51.977Z"} 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+{"parentUuid":"93d09c2f-414e-4a2c-8517-7a1a2dc908aa","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AcHkoGjh4Pz8YC96dUiAy1","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"d324973e-3dfc-4e80-a3e6-a9bac0ebfdb5","timestamp":"2026-03-11T04:13:51.986Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"d4394d10-c8a1-47d3-bcd2-1764ad69a824","timestamp":"2026-03-11T04:13:52.207Z"} +{"parentUuid":"d4394d10-c8a1-47d3-bcd2-1764ad69a824","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:52.227Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VBQ69Yi7PqjnzAKUANrVmL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JF55oktT51TY2Q5Pc9WK88","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1191,"cache_read_input_tokens":17277,"cache_creation":{"ephemeral_5m_input_tokens":1191,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveDzLWmrspUHEDRijWk","uuid":"22c2ab59-398e-466e-b135-a6f1e842ee12"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"21689dff-e22a-4ee4-934c-14fedaff8ee9","timestamp":"2026-03-11T04:13:52.227Z"} +{"parentUuid":"21689dff-e22a-4ee4-934c-14fedaff8ee9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JF55oktT51TY2Q5Pc9WK88","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 repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//\n 123→// Required fields: Username, Roles\n 124→// Optional fields: Name, Email, Password, Projects, AuthSource\n 125→func (r *UserRepository) AddUser(user *schema.User) error {\n 126→\trolesJson, _ := json.Marshal(user.Roles)\n 127→\tprojectsJson, _ := json.Marshal(user.Projects)\n 128→\n 129→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 130→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 131→\n 132→\tif user.Name != \"\" {\n 133→\t\tcols = append(cols, \"name\")\n 134→\t\tvals = append(vals, user.Name)\n 135→\t}\n 136→\tif user.Email != \"\" {\n 137→\t\tcols = append(cols, \"email\")\n 138→\t\tvals = append(vals, user.Email)\n 139→\t}\n 140→\tif user.Password != \"\" {\n 141→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 142→\t\tif err != nil {\n 143→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 144→\t\t\treturn err\n 145→\t\t}\n 146→\t\tcols = append(cols, \"password\")\n 147→\t\tvals = append(vals, string(password))\n 148→\t}\n 149→\tif user.AuthSource != -1 {\n 150→\t\tcols = append(cols, \"ldap\")\n 151→\t\tvals = append(vals, int(user.AuthSource))\n 152→\t}\n 153→\n 154→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 155→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 156→\t\treturn err\n 157→\t}\n 158→\n 159→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 160→\n 161→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 162→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 163→\tif err != nil {\n 164→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 165→\t} else if defaultMetricsCfg != nil {\n 166→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 167→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 168→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 169→\t\t\tif err != nil {\n 170→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 171→\t\t\t\tcontinue\n 172→\t\t\t}\n 173→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 174→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 175→\t\t\tif _, err := sq.Insert(\"configuration\").\n 176→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 177→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 178→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 180→\t\t\t} else {\n 181→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 182→\t\t\t}\n 183→\t\t}\n 184→\t}\n 185→\t// END DEPRECATION\n 186→\n 187→\treturn nil\n 188→}\n 189→\n 190→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 191→\t// user contains updated info -> Apply to dbUser\n 192→\t// --- Simple Name Update ---\n 193→\tif dbUser.Name != user.Name {\n 194→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 195→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 196→\t\t\treturn err\n 197→\t\t}\n 198→\t}\n 199→\n 200→\t// --- Def Helpers ---\n 201→\t// Helper to update roles\n 202→\tupdateRoles := func(roles []string) error {\n 203→\t\trolesJSON, _ := json.Marshal(roles)\n 204→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 205→\t\treturn err\n 206→\t}\n 207→\n 208→\t// Helper to update projects\n 209→\tupdateProjects := func(projects []string) error {\n 210→\t\tprojectsJSON, _ := json.Marshal(projects)\n 211→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 212→\t\treturn err\n 213→\t}\n 214→\n 215→\t// Helper to clear projects\n 216→\tclearProjects := func() error {\n 217→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 218→\t\treturn err\n 219→\t}\n 220→\n 221→\t// --- Manager Role Handling ---\n 222→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 223→\t\t// Existing Manager: update projects\n 224→\t\tif err := updateProjects(user.Projects); err != nil {\n 225→\t\t\treturn err\n 226→\t\t}\n 227→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 228→\t\t// New Manager: update roles and projects\n 229→\t\tif err := updateRoles(user.Roles); err != nil {\n 230→\t\t\treturn err\n 231→\t\t}\n 232→\t\tif err := updateProjects(user.Projects); err != nil {\n 233→\t\t\treturn err\n 234→\t\t}\n 235→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 236→\t\t// Remove Manager: update roles and clear projects\n 237→\t\tif err := updateRoles(user.Roles); err != nil {\n 238→\t\t\treturn err\n 239→\t\t}\n 240→\t\tif err := clearProjects(); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t}\n 244→\n 245→\t// --- Support Role Handling ---\n 246→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 247→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 248→\t\t// New Support: update roles\n 249→\t\tif err := updateRoles(user.Roles); err != nil {\n 250→\t\t\treturn err\n 251→\t\t}\n 252→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 253→\t\t// Remove Support: update roles\n 254→\t\tif err := updateRoles(user.Roles); err != nil {\n 255→\t\t\treturn err\n 256→\t\t}\n 257→\t}\n 258→\n 259→\treturn nil\n 260→}\n 261→\n 262→func (r *UserRepository) DelUser(username string) error {\n 263→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 264→\tif err != nil {\n 265→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 266→\t\treturn err\n 267→\t}\n 268→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 269→\treturn nil\n 270→}\n 271→\n 272→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 273→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 274→\tif specialsOnly {\n 275→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 276→\t}\n 277→\n 278→\trows, err := q.RunWith(r.DB).Query()\n 279→\tif err != nil {\n 280→\t\tcclog.Warn(\"Error while querying user list\")\n 281→\t\treturn nil, err\n 282→\t}\n 283→\n 284→\tusers := make([]*schema.User, 0)\n 285→\tdefer rows.Close()\n 286→\tfor rows.Next() {\n 287→\t\trawroles := \"\"\n 288→\t\trawprojects := \"\"\n 289→\t\tuser := &schema.User{}\n 290→\t\tvar name, email sql.NullString\n 291→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 292→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 293→\t\t\treturn nil, err\n 294→\t\t}\n 295→\n 296→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 297→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 298→\t\t\treturn nil, err\n 299→\t\t}\n 300→\n 301→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\n 305→\t\tuser.Name = name.String\n 306→\t\tuser.Email = email.String\n 307→\t\tusers = append(users, user)\n 308→\t}\n 309→\treturn users, nil\n 310→}\n 311→\n 312→// AddRole adds a role to a user's role list.\n 313→// Role string is automatically lowercased.\n 314→// Valid roles: admin, support, manager, api, user\n 315→//\n 316→// Returns error if:\n 317→// - User doesn't exist\n 318→// - Role is invalid\n 319→// - User already has the role\n 320→func (r *UserRepository) AddRole(\n 321→\tctx context.Context,\n 322→\tusername string,\n 323→\tqueryrole string,\n 324→) error {\n 325→\tnewRole := strings.ToLower(queryrole)\n 326→\tuser, err := r.GetUser(username)\n 327→\tif err != nil {\n 328→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 329→\t\treturn err\n 330→\t}\n 331→\n 332→\texists, valid := user.HasValidRole(newRole)\n 333→\n 334→\tif !valid {\n 335→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 336→\t}\n 337→\tif exists {\n 338→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 339→\t}\n 340→\n 341→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 342→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 343→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 344→\t\treturn err\n 345→\t}\n 346→\treturn nil\n 347→}\n 348→\n 349→// RemoveRole removes a role from a user's role list.\n 350→//\n 351→// Special rules:\n 352→// - Cannot remove \"manager\" role while user has assigned projects\n 353→// - Must remove all projects first before removing manager role\n 354→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 355→\toldRole := strings.ToLower(queryrole)\n 356→\tuser, err := r.GetUser(username)\n 357→\tif err != nil {\n 358→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\texists, valid := user.HasValidRole(oldRole)\n 363→\n 364→\tif !valid {\n 365→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 366→\t}\n 367→\tif !exists {\n 368→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 369→\t}\n 370→\n 371→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 372→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 373→\t}\n 374→\n 375→\tvar newroles []string\n 376→\tfor _, r := range user.Roles {\n 377→\t\tif r != oldRole {\n 378→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 379→\t\t}\n 380→\t}\n 381→\n 382→\tmroles, _ := json.Marshal(newroles)\n 383→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 384→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 385→\t\treturn err\n 386→\t}\n 387→\treturn nil\n 388→}\n 389→\n 390→// AddProject assigns a project to a manager user.\n 391→// Only users with the \"manager\" role can have assigned projects.\n 392→//\n 393→// Returns error if:\n 394→// - User doesn't have manager role\n 395→// - User already manages the project\n 396→func (r *UserRepository) AddProject(\n 397→\tctx context.Context,\n 398→\tusername string,\n 399→\tproject string,\n 400→) error {\n 401→\tuser, err := r.GetUser(username)\n 402→\tif err != nil {\n 403→\t\treturn err\n 404→\t}\n 405→\n 406→\tif !user.HasRole(schema.RoleManager) {\n 407→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 408→\t}\n 409→\n 410→\tif user.HasProject(project) {\n 411→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 412→\t}\n 413→\n 414→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 415→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 416→\t\treturn err\n 417→\t}\n 418→\n 419→\treturn nil\n 420→}\n 421→\n 422→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 423→\tuser, err := r.GetUser(username)\n 424→\tif err != nil {\n 425→\t\treturn err\n 426→\t}\n 427→\n 428→\tif !user.HasRole(schema.RoleManager) {\n 429→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 430→\t}\n 431→\n 432→\tif !user.HasProject(project) {\n 433→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 434→\t}\n 435→\n 436→\tvar exists bool\n 437→\tvar newprojects []string\n 438→\tfor _, p := range user.Projects {\n 439→\t\tif p != project {\n 440→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 441→\t\t} else {\n 442→\t\t\texists = true\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif exists {\n 447→\t\tvar result any\n 448→\t\tif len(newprojects) == 0 {\n 449→\t\t\tresult = \"[]\"\n 450→\t\t} else {\n 451→\t\t\tresult, _ = json.Marshal(newprojects)\n 452→\t\t}\n 453→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 454→\t\t\treturn err\n 455→\t\t}\n 456→\t\treturn nil\n 457→\t} else {\n 458→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 459→\t}\n 460→}\n 461→\n 462→type ContextKey string\n 463→\n 464→const ContextUserKey ContextKey = \"user\"\n 465→\n 466→func GetUserFromContext(ctx context.Context) *schema.User {\n 467→\tx := ctx.Value(ContextUserKey)\n 468→\tif x == nil {\n 469→\t\tcclog.Warnf(\"no user retrieved from context\")\n 470→\t\treturn nil\n 471→\t}\n 472→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 473→\treturn x.(*schema.User)\n 474→}\n 475→\n 476→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 477→\tme := GetUserFromContext(ctx)\n 478→\tif me != nil && me.Username != username &&\n 479→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 480→\t\treturn nil, errors.New(\"forbidden\")\n 481→\t}\n 482→\n 483→\tuser := &model.User{Username: username}\n 484→\tvar name, email sql.NullString\n 485→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 486→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 487→\t\tif err == sql.ErrNoRows {\n 488→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 489→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 490→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 491→\t\t\treturn nil, nil\n 492→\t\t}\n 493→\n 494→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 495→\t\treturn nil, err\n 496→\t}\n 497→\n 498→\tuser.Name = name.String\n 499→\tuser.Email = email.String\n 500→\treturn user, nil\n 501→}\n 502→"}]},"uuid":"db16164c-81f4-4221-a6c1-be15fc540f54","timestamp":"2026-03-11T04:13:52.230Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"40ee2261-3139-4932-86ae-8cf48219eab8","timestamp":"2026-03-11T04:13:52.231Z"} +{"parentUuid":"40ee2261-3139-4932-86ae-8cf48219eab8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:52.238Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VBQ69Yi7PqjnzAKUANrVmL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015DVFH36JucJSZ6ro72phju","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/userConfig.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1191,"cache_read_input_tokens":17277,"cache_creation":{"ephemeral_5m_input_tokens":1191,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveDzLWmrspUHEDRijWk","uuid":"23f6802d-eaaa-40d7-8caf-e6811ec7a4b1"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"f8b268f8-4c4c-4146-aad7-ae039504232f","timestamp":"2026-03-11T04:13:52.239Z"} +{"parentUuid":"f8b268f8-4c4c-4146-aad7-ae039504232f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015DVFH36JucJSZ6ro72phju","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 repository\n 6→\n 7→import (\n 8→\t\"encoding/json\"\n 9→\t\"maps\"\n 10→\t\"sync\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/jmoiron/sqlx\"\n 19→)\n 20→\n 21→var (\n 22→\tuserCfgRepoOnce sync.Once\n 23→\tuserCfgRepoInstance *UserCfgRepo\n 24→)\n 25→\n 26→type UserCfgRepo struct {\n 27→\tDB *sqlx.DB\n 28→\tLookup *sqlx.Stmt\n 29→\tuiDefaults map[string]any\n 30→\tcache *lrucache.Cache\n 31→\tlock sync.RWMutex\n 32→}\n 33→\n 34→func GetUserCfgRepo() *UserCfgRepo {\n 35→\tuserCfgRepoOnce.Do(func() {\n 36→\t\tdb := GetConnection()\n 37→\n 38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n 39→\t\tif err != nil {\n 40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n 41→\t\t}\n 42→\n 43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n 44→\t\t\tDB: db.DB,\n 45→\t\t\tLookup: lookupConfigStmt,\n 46→\t\t\tuiDefaults: web.UIDefaultsMap,\n 47→\t\t\tcache: lrucache.New(1024),\n 48→\t\t}\n 49→\t})\n 50→\n 51→\treturn userCfgRepoInstance\n 52→}\n 53→\n 54→// Return the personalised UI config for the currently authenticated\n 55→// user or return the plain default config.\n 56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n 57→\tif user == nil {\n 58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n 59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n 60→\t\treturn copy, nil\n 61→\t}\n 62→\n 63→\t// Is the cache invalidated in case the options are changed?\n 64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n 65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n 66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n 67→\n 68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n 69→\t\tif err != nil {\n 70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n 71→\t\t\treturn err, 0, 0\n 72→\t\t}\n 73→\n 74→\t\tsize := 0\n 75→\t\tdefer rows.Close()\n 76→\t\tfor rows.Next() {\n 77→\t\t\tvar key, rawval string\n 78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n 79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n 80→\t\t\t\treturn err, 0, 0\n 81→\t\t\t}\n 82→\n 83→\t\t\tvar val any\n 84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n 85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n 86→\t\t\t\treturn err, 0, 0\n 87→\t\t\t}\n 88→\n 89→\t\t\tsize += len(key)\n 90→\t\t\tsize += len(rawval)\n 91→\t\t\tuiconfig[key] = val\n 92→\t\t}\n 93→\n 94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n 95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n 96→\n 97→\t\treturn uiconfig, 24 * time.Hour, size\n 98→\t})\n 99→\tif err, ok := data.(error); ok {\n 100→\t\tcclog.Error(\"Error in returned dataset\")\n 101→\t\treturn nil, err\n 102→\t}\n 103→\n 104→\treturn data.(map[string]any), nil\n 105→}\n 106→\n 107→// If the context does not have a user, update the global ui configuration\n 108→// without persisting it! If there is a (authenticated) user, update only his\n 109→// configuration.\n 110→func (uCfg *UserCfgRepo) UpdateConfig(\n 111→\tkey, value string,\n 112→\tuser *schema.User,\n 113→) error {\n 114→\tif user == nil {\n 115→\t\treturn nil\n 116→\t}\n 117→\n 118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n 119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n 120→\t\treturn err\n 121→\t}\n 122→\n 123→\tuCfg.cache.Del(user.Username)\n 124→\treturn nil\n 125→}\n 126→"}]},"uuid":"365c0dca-c72e-498a-91c2-3f5254d961c9","timestamp":"2026-03-11T04:13:52.241Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"2063698c-ff63-40a9-a748-cd80f0e245b6","timestamp":"2026-03-11T04:13:52.246Z"} 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KEY (job_id) REFERENCES job (id) ON DELETE CASCADE,\n 43→FOREIGN KEY (tag_id) REFERENCES tag (id) ON DELETE CASCADE);\n 44→\n 45→CREATE TABLE IF NOT EXISTS user (\n 46→username varchar(255) PRIMARY KEY NOT NULL,\n 47→password varchar(255) DEFAULT NULL,\n 48→ldap tinyint NOT NULL DEFAULT 0, /* col called \"ldap\" for historic reasons, fills the \"AuthSource\" */\n 49→name varchar(255) DEFAULT NULL,\n 50→roles varchar(255) NOT NULL DEFAULT \"[]\",\n 51→email varchar(255) DEFAULT NULL);\n 52→\n 53→CREATE TABLE IF NOT EXISTS configuration (\n 54→username varchar(255),\n 55→confkey varchar(255),\n 56→value varchar(255),\n 57→PRIMARY KEY (username, confkey),\n 58→FOREIGN KEY (username) REFERENCES user (username) ON DELETE CASCADE ON UPDATE NO ACTION);\n 59→\n 60→\n 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CURRENT_TIMESTAMP')\n 15→WHERE type = 'table'\n 16→ AND name = 'jobtag';\n 17→\n 18→PRAGMA writable_schema = off;\n 19→"}]},"uuid":"ce612740-3817-446a-aa74-57283d617c7b","timestamp":"2026-03-11T04:13:53.763Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"37756088-c905-4488-936a-3b1ee8fb77c1","timestamp":"2026-03-11T04:13:53.931Z"} 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The file has 1 lines."}]},"uuid":"cafa6e67-ce16-4278-a335-ffffb76a767e","timestamp":"2026-03-11T04:13:54.287Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"4b6fdda1-8d83-415a-a6e4-f3024e7b9042","timestamp":"2026-03-11T04:13:54.357Z"} +{"parentUuid":"4b6fdda1-8d83-415a-a6e4-f3024e7b9042","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:54.374Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01QnuM9W9cEoGegx5bg6DyWK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KsFWmqTLSS5hXAuU7Fp2yH","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/08_add-footprint.up.sql"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1659,"cache_read_input_tokens":16630,"cache_creation":{"ephemeral_5m_input_tokens":1659,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveE8Rw8kYDUt19zKGPL","uuid":"a4b08525-c70d-415d-b76e-521b657a75ce"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"a16c70c6-d378-411b-800b-435de93eb941","timestamp":"2026-03-11T04:13:54.374Z"} +{"parentUuid":"a16c70c6-d378-411b-800b-435de93eb941","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:54.386Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EeLzYD6LUYyD4YgzuNbqSD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RvP98KZx81eHtgWJkx6N4e","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38162,"cache_read_input_tokens":18468,"cache_creation":{"ephemeral_5m_input_tokens":38162,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEAnp8eTNCCsu2rzHN","uuid":"ce64efdc-0d10-4103-ba8e-925323ccc993"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"45ae75d8-f450-4875-832b-44a1b99f197f","timestamp":"2026-03-11T04:13:54.387Z"} +{"parentUuid":"45ae75d8-f450-4875-832b-44a1b99f197f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RvP98KZx81eHtgWJkx6N4e","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→\n 215→"}]},"uuid":"b01dfbdf-6576-40b3-a4f8-3502cdf511d4","timestamp":"2026-03-11T04:13:54.390Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"769f14ce-7818-4f87-8e42-d79598c5b4b8","timestamp":"2026-03-11T04:13:54.684Z"} +{"parentUuid":"769f14ce-7818-4f87-8e42-d79598c5b4b8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:54.686Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EeLzYD6LUYyD4YgzuNbqSD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EXvwShZUiTrQvjgQRSnzTc","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38162,"cache_read_input_tokens":18468,"cache_creation":{"ephemeral_5m_input_tokens":38162,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEAnp8eTNCCsu2rzHN","uuid":"ab449ce8-b9ae-4594-97e7-795affc817f9"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"eb8dddd2-a936-4851-bb5c-cad43cbddd7d","timestamp":"2026-03-11T04:13:54.686Z"} +{"parentUuid":"eb8dddd2-a936-4851-bb5c-cad43cbddd7d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EXvwShZUiTrQvjgQRSnzTc","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"8f17ca7b-a356-431a-9795-f5257da0d3b5","timestamp":"2026-03-11T04:13:54.698Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"49fb6213-4baf-40f8-8ae6-093b25e7c3f4","timestamp":"2026-03-11T04:13:54.877Z"} 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+{"parentUuid":"17079dfb-9f6c-4597-8494-2190f0d88f67","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KsFWmqTLSS5hXAuU7Fp2yH","type":"tool_result","content":" 1→DROP INDEX IF EXISTS job_stats;\n 2→DROP INDEX IF EXISTS job_by_user;\n 3→DROP INDEX IF EXISTS job_by_starttime;\n 4→DROP INDEX IF EXISTS job_by_job_id;\n 5→DROP INDEX IF EXISTS job_list;\n 6→DROP INDEX IF EXISTS job_list_user;\n 7→DROP INDEX IF EXISTS job_list_users;\n 8→DROP INDEX IF EXISTS job_list_users_start;\n 9→\n 10→ALTER TABLE job ADD COLUMN energy REAL NOT NULL DEFAULT 0.0;\n 11→ALTER TABLE job ADD COLUMN energy_footprint TEXT DEFAULT NULL;\n 12→\n 13→ALTER TABLE job ADD COLUMN footprint TEXT DEFAULT NULL;\n 14→ALTER TABLE tag ADD COLUMN tag_scope TEXT NOT NULL DEFAULT 'global';\n 15→\n 16→-- Do not use reserved keywords anymore\n 17→ALTER TABLE \"user\" RENAME TO hpc_user;\n 18→ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n 19→ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n 20→\n 21→UPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\n 22→UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\n 23→UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\n 24→UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\n 25→UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\n 26→UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\n 27→UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\n 28→UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\n 29→UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n 30→\n 31→ALTER TABLE job DROP flops_any_avg;\n 32→ALTER TABLE job DROP mem_bw_avg;\n 33→ALTER TABLE job DROP mem_used_max;\n 34→ALTER TABLE job DROP load_avg;\n 35→ALTER TABLE job DROP net_bw_avg;\n 36→ALTER TABLE job DROP net_data_vol_total;\n 37→ALTER TABLE job DROP file_bw_avg;\n 38→ALTER TABLE job DROP file_data_vol_total;\n 39→\n 40→-- Indices for: Single filters, combined filters, sorting, sorting with filters\n 41→-- Cluster Filter\n 42→CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\n 43→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 44→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 45→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 46→-- Cluster Filter Sorting\n 47→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\n 48→CREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\n 49→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 51→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 52→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 53→\n 54→-- Cluster+Partition Filter\n 55→CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n 56→-- Cluster+Partition Filter Sorting\n 57→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n 58→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n 59→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 60→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 61→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 62→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 63→\n 64→-- Cluster+Partition+Jobstate Filter\n 65→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n 67→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n 68→-- Cluster+Partition+Jobstate Filter Sorting\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n 70→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n 71→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n 72→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n 73→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n 74→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n 75→\n 76→-- Cluster+JobState Filter\n 77→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\n 78→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 79→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 80→-- Cluster+JobState Filter Sorting\n 81→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\n 83→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 84→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 86→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 87→\n 88→-- User Filter\n 89→CREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n 90→-- User Filter Sorting\n 91→CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\n 92→CREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\n 93→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 94→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 95→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 96→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 97→\n 98→-- Project Filter\n 99→CREATE INDEX IF NOT EXISTS jobs_project ON job (project);\n 100→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 101→-- Project Filter Sorting\n 102→CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\n 103→CREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\n 104→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 105→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 106→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 107→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 108→\n 109→-- JobState Filter\n 110→CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\n 111→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 112→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 113→CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n 114→-- JobState Filter Sorting\n 115→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\n 116→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\n 117→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 118→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 119→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 120→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 121→\n 122→-- ArrayJob Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 125→\n 126→-- Sorting without active filters\n 127→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 128→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 129→CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\n 130→CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\n 131→CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\n 132→CREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n 133→\n 134→-- Single filters with default starttime sorting\n 135→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 136→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 137→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 138→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 139→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 140→\n 141→-- Optimize DB index usage\n 142→PRAGMA optimize;\n 143→"}]},"uuid":"e4518329-f27c-4105-a839-f8f43af199f4","timestamp":"2026-03-11T04:13:54.386Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"b1fd0be7-66ee-4da8-8d08-c63affd7ef52","timestamp":"2026-03-11T04:13:54.989Z"} +{"parentUuid":"b1fd0be7-66ee-4da8-8d08-c63affd7ef52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:55.009Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EeLzYD6LUYyD4YgzuNbqSD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Er2KCQdp4jKnnfzYsLRdVY","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38162,"cache_read_input_tokens":18468,"cache_creation":{"ephemeral_5m_input_tokens":38162,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEAnp8eTNCCsu2rzHN","uuid":"18a900c3-6343-44b7-917c-c076fff0e18d"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"632ae3b8-42e2-4323-8c2e-cceafc4d70f4","timestamp":"2026-03-11T04:13:55.009Z"} +{"parentUuid":"632ae3b8-42e2-4323-8c2e-cceafc4d70f4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MuBekkMpTkMAS1msienQRs","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRow()\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).Query()\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).Query()\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→"}]},"uuid":"5b449713-1f82-4320-a1c0-c9045cf8c1ce","timestamp":"2026-03-11T04:13:55.074Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"2f2eda58-80e7-4fe0-aeec-dc8105bb2ec1","timestamp":"2026-03-11T04:13:55.075Z"} +{"parentUuid":"2f2eda58-80e7-4fe0-aeec-dc8105bb2ec1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Er2KCQdp4jKnnfzYsLRdVY","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"c1232ee9-7d74-4b5f-9151-f2b778ae2510","timestamp":"2026-03-11T04:13:55.331Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"aae60841-8815-486b-981b-c4f656569275","timestamp":"2026-03-11T04:13:55.332Z"} 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+{"parentUuid":"16f36f6f-60dc-4a44-a672-9c75f224d59e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ky2Ha2RUpDKb9xJ1oa4BV","type":"tool_result","content":" 1→CREATE TABLE \"job_cache\" (\n 2→ id INTEGER PRIMARY KEY,\n 3→ job_id BIGINT NOT NULL,\n 4→ cluster VARCHAR(255) NOT NULL,\n 5→ subcluster VARCHAR(255) NOT NULL,\n 6→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 7→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 8→ hpc_user VARCHAR(255) NOT NULL,\n 9→ project VARCHAR(255) NOT NULL,\n 10→ cluster_partition VARCHAR(255),\n 11→ array_job_id BIGINT,\n 12→ duration INT NOT NULL,\n 13→ walltime INT NOT NULL,\n 14→ job_state VARCHAR(255) NOT NULL\n 15→ CHECK (job_state IN (\n 16→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 17→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 18→ 'preempted', 'running', 'suspended', 'timeout'\n 19→ )),\n 20→ meta_data TEXT, -- JSON\n 21→ resources TEXT NOT NULL, -- JSON\n 22→ num_nodes INT NOT NULL,\n 23→ num_hwthreads INT,\n 24→ num_acc INT,\n 25→ smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n 26→ shared TEXT NOT NULL\n 27→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 28→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 29→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 30→ energy REAL NOT NULL DEFAULT 0.0,\n 31→ energy_footprint TEXT DEFAULT NULL,\n 32→ footprint TEXT DEFAULT NULL,\n 33→ UNIQUE (job_id, cluster, start_time)\n 34→);\n 35→\n 36→CREATE TABLE \"job_new\" (\n 37→ id INTEGER PRIMARY KEY,\n 38→ job_id BIGINT NOT NULL,\n 39→ cluster TEXT NOT NULL,\n 40→ subcluster TEXT NOT NULL,\n 41→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 42→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 43→ hpc_user TEXT NOT NULL,\n 44→ project TEXT NOT NULL,\n 45→ cluster_partition TEXT,\n 46→ array_job_id BIGINT,\n 47→ duration INT NOT NULL,\n 48→ walltime INT NOT NULL,\n 49→ job_state TEXT NOT NULL\n 50→ CHECK (job_state IN (\n 51→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 52→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 53→ 'preempted', 'running', 'suspended', 'timeout'\n 54→ )),\n 55→ meta_data TEXT, -- JSON\n 56→ resources TEXT NOT NULL, -- JSON\n 57→ num_nodes INT NOT NULL,\n 58→ num_hwthreads INT,\n 59→ num_acc INT,\n 60→ smt INT NOT NULL DEFAULT 1,\n 61→ shared TEXT NOT NULL\n 62→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 63→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 64→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 65→ energy REAL NOT NULL DEFAULT 0.0,\n 66→ energy_footprint TEXT DEFAULT NULL,\n 67→ footprint TEXT DEFAULT NULL,\n 68→ UNIQUE (job_id, cluster, start_time)\n 69→);\n 70→\n 71→\n 72→CREATE TABLE IF NOT EXISTS lookup_exclusive (\n 73→ id INTEGER PRIMARY KEY,\n 74→ name TEXT NOT NULL UNIQUE\n 75→);\n 76→\n 77→INSERT INTO lookup_exclusive (id, name) VALUES\n 78→(0, 'multi_user'),\n 79→(1, 'none'),\n 80→(2, 'single_user');\n 81→\n 82→INSERT INTO job_new (\n 83→ id, job_id, cluster, subcluster, submit_time, start_time, hpc_user, project,\n 84→ cluster_partition, array_job_id, duration, walltime, job_state, meta_data, resources,\n 85→ num_nodes, num_hwthreads, num_acc, smt, shared, monitoring_status, energy,\n 86→ energy_footprint, footprint\n 87→) SELECT\n 88→ id,\n 89→ job_id,\n 90→ cluster,\n 91→ subcluster,\n 92→ 0,\n 93→ start_time,\n 94→ hpc_user,\n 95→ project,\n 96→ cluster_partition,\n 97→ array_job_id,\n 98→ duration,\n 99→ walltime,\n 100→ job_state,\n 101→ meta_data,\n 102→ resources,\n 103→ num_nodes,\n 104→ num_hwthreads,\n 105→ num_acc,\n 106→ smt,\n 107→ (\n 108→ SELECT name FROM lookup_exclusive\n 109→ WHERE id = job.exclusive\n 110→ ),\n 111→ monitoring_status,\n 112→ energy,\n 113→ energy_footprint,\n 114→ footprint\n 115→FROM job;\n 116→\n 117→DROP TABLE lookup_exclusive;\n 118→DROP TABLE job; -- Deletes All Existing 'job' Indices; Recreate after Renaming\n 119→ALTER TABLE job_new RENAME TO job;\n 120→\n 121→-- Recreate Indices from 08_add-footprint; include new 'shared' column\n 122→-- Cluster Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 125→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 126→-- Cluster Filter Sorting\n 127→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 128→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 129→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 130→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 131→\n 132→-- Cluster Time Filter Sorting\n 133→CREATE INDEX IF NOT EXISTS jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\n 134→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n 135→\n 136→-- Cluster+Partition Filter\n 137→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_user ON job (cluster, cluster_partition, hpc_user);\n 138→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, cluster_partition, project);\n 139→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 140→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared);\n 141→\n 142→-- Cluster+Partition Filter Sorting\n 143→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 144→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 145→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 146→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 147→\n 148→-- Cluster+Partition Time Filter Sorting\n 149→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time);\n 150→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration);\n 151→\n 152→-- Cluster+JobState Filter\n 153→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 154→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 155→-- Cluster+JobState Filter Sorting\n 156→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 157→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 158→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 159→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 160→\n 161→-- Cluster+JobState Time Filter Sorting\n 162→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\n 163→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n 164→\n 165→-- Cluster+Shared Filter\n 166→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user);\n 167→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project);\n 168→-- Cluster+Shared Filter Sorting\n 169→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\n 170→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\n 171→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\n 172→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n 173→\n 174→-- Cluster+Shared Time Filter Sorting\n 175→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration);\n 176→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time);\n 177→\n 178→-- User Filter\n 179→-- User Filter Sorting\n 180→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 181→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 182→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 183→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 184→\n 185→-- Cluster+Shared Time Filter Sorting\n 186→CREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\n 187→CREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time);\n 188→\n 189→-- Project Filter\n 190→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 191→-- Project Filter Sorting\n 192→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 193→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 194→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 195→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 196→\n 197→-- Cluster+Shared Time Filter Sorting\n 198→CREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration);\n 199→CREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, duration, start_time);\n 200→\n 201→-- JobState Filter\n 202→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 203→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 204→-- JobState Filter Sorting\n 205→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 206→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 207→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 208→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 209→\n 210→-- Cluster+Shared Time Filter Sorting\n 211→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration);\n 212→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n 213→\n 214→-- Shared Filter\n 215→CREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user);\n 216→CREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project);\n 217→-- Shared Filter Sorting\n 218→CREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\n 219→CREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\n 220→CREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\n 221→CREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n 222→\n 223→-- Cluster+Shared Time Filter Sorting\n 224→CREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration);\n 225→CREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, duration, start_time);\n 226→\n 227→-- ArrayJob Filter\n 228→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 229→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 230→\n 231→-- Single filters with default starttime sorting\n 232→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 233→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 234→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 235→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 236→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 237→\n 238→-- Single filters with duration sorting\n 239→CREATE INDEX IF NOT EXISTS jobs_starttime_duration ON job (start_time, duration);\n 240→CREATE INDEX IF NOT EXISTS jobs_numnodes_duration ON job (num_nodes, duration);\n 241→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_duration ON job (num_hwthreads, duration);\n 242→CREATE INDEX IF NOT EXISTS jobs_numacc_duration ON job (num_acc, duration);\n 243→CREATE INDEX IF NOT EXISTS jobs_energy_duration ON job (energy, duration);\n 244→\n 245→-- Backup Indices For High Variety Columns\n 246→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 247→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 248→\n 249→-- Notes:\n 250→-- Cluster+Partition+Jobstate Filter: Tested -> Full Array Of Combinations non-required\n 251→-- Cluster+JobState+Shared Filter: Tested -> No further timing improvement\n 252→-- JobState+Shared Filter: Tested -> No further timing improvement\n 253→\n 254→-- Optimize DB index usage\n 255→PRAGMA optimize;\n 256→\n 257→-- Optimize DB size: https://sqlite.org/lang_vacuum.html \n 258→-- Not allowed within a migration transaction; Keep command here for documentation and recommendation\n 259→-- Command: 'VACUUM;'"}]},"uuid":"31ba2bb4-2250-4b2c-9bce-fe9c0aa97ab7","timestamp":"2026-03-11T04:13:55.448Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"da2ac96b-01fb-4c59-8833-e6cf53751df4","timestamp":"2026-03-11T04:13:55.479Z"} 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NULL\n 18→ CHECK (node_state IN (\n 19→ 'allocated', 'reserved', 'idle', 'mixed',\n 20→ 'down', 'unknown'\n 21→ )),\n 22→ health_state VARCHAR(255) NOT NULL\n 23→ CHECK (health_state IN (\n 24→ 'full', 'partial', 'failed'\n 25→ )),\n 26→ health_metrics TEXT, -- JSON array of strings\n 27→ node_id INTEGER,\n 28→ FOREIGN KEY (node_id) REFERENCES node (id)\n 29→);\n 30→\n 31→-- Add NEW Indices For New Node Table VARCHAR Fields\n 32→CREATE INDEX IF NOT EXISTS nodes_cluster ON node (cluster);\n 33→CREATE INDEX IF NOT EXISTS nodes_cluster_subcluster ON node (cluster, subcluster);\n 34→\n 35→-- Add NEW Indices For New Node_State Table Fields\n 36→CREATE INDEX IF NOT EXISTS nodestates_timestamp ON node_state (time_stamp);\n 37→CREATE INDEX IF NOT EXISTS nodestates_state_timestamp ON node_state (node_state, time_stamp);\n 38→CREATE INDEX IF NOT EXISTS nodestates_health_timestamp ON node_state (health_state, time_stamp);\n 39→CREATE INDEX IF NOT EXISTS nodestates_nodeid_state ON node_state (node_id, node_state);\n 40→CREATE INDEX IF NOT EXISTS nodestates_nodeid_health ON node_state (node_id, health_state);\n 41→CREATE INDEX IF NOT EXISTS nodestates_nodeid_timestamp ON node_state (node_id, time_stamp DESC);\n 42→\n 43→-- Add NEW Indices For Increased Amounts of Tags\n 44→CREATE INDEX IF NOT EXISTS tags_jobid ON jobtag (job_id);\n 45→CREATE INDEX IF NOT EXISTS tags_tagid ON jobtag (tag_id);\n 46→\n 47→-- Optimize DB index usage\n 48→PRAGMA optimize;"}]},"uuid":"be2b2fe0-98d2-4670-9937-d257322f7d7c","timestamp":"2026-03-11T04:13:56.098Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"e9ea498d-9172-401b-abde-a1501a9fcb88","timestamp":"2026-03-11T04:13:56.183Z"} 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files\ninternal/repository/node.go\npkg/archive/sqliteBackend.go\ninternal/routerConfig/routes.go\ninternal/repository/user.go\ninternal/repository/userConfig.go\ninternal/repository/stats.go\ninternal/repository/tags.go\ninternal/repository/jobQuery.go\ninternal/repository/jobCreate.go\ninternal/repository/jobFind.go\ninternal/repository/job.go\ninternal/metricstoreclient/cc-metric-store.go\ninternal/graph/schema.resolvers.go\ninternal/graph/generated/generated.go\ninternal/auth/jwtSession.go\ninternal/api/user.go\ninternal/api/log.go\ninternal/api/metricstore.go\ninternal/api/cluster.go\ninternal/api/job.go"}]},"uuid":"38f643d8-f911-4edc-a246-b09c1a2c2b01","timestamp":"2026-03-11T04:14:00.602Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"2124b469-ccab-487a-b825-f7381c71b798","timestamp":"2026-03-11T04:14:00.603Z"} +{"parentUuid":"2124b469-ccab-487a-b825-f7381c71b798","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xx35qN3wvyfAqY34Rsj55k","type":"tool_result","content":" 595→// or ErrNotFound if no matches are found.\n 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→\tif user == nil {\n 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→\t}\n 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}\n 620→\t\t\treturn results, nil\n 621→\t\t}\n 622→\t\treturn emptyResult, ErrNotFound\n 623→\n 624→\t} else {"}]},"uuid":"6e687286-3aa2-432a-9758-438d81690b54","timestamp":"2026-03-11T04:14:00.592Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"20227a17-da28-4aac-89e6-d92d9ebbc26e","timestamp":"2026-03-11T04:14:00.757Z"} +{"parentUuid":"20227a17-da28-4aac-89e6-d92d9ebbc26e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:00.758Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LBV2sRTDewD87JYXdaU4Nr","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":655,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"4ef67b14-659b-408a-ab43-6b170b0e4b55"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"906884de-0212-4a6e-9c12-b32f1861b7e5","timestamp":"2026-03-11T04:14:00.758Z"} +{"parentUuid":"906884de-0212-4a6e-9c12-b32f1861b7e5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LBV2sRTDewD87JYXdaU4Nr","type":"tool_result","content":" 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→// Hosts with zero jobs running on them will not show up!\n 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→\tstart := time.Now()\n 659→\tsubclusters := make(map[string]map[string]int)\n 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]"}]},"uuid":"4b57627b-a016-4f71-8c43-7341203c90a6","timestamp":"2026-03-11T04:14:00.768Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"6ab17100-a50d-4cb0-9cf6-e1808a06fb46","timestamp":"2026-03-11T04:14:00.968Z"} +{"parentUuid":"6ab17100-a50d-4cb0-9cf6-e1808a06fb46","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.183Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UFKtK7gRVDHtYdCqWHKpNH","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":745,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"c1e987c5-de1b-48ab-bba4-85d9493203f4"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"ca335c41-68b9-434c-a175-37608bef114c","timestamp":"2026-03-11T04:14:01.184Z"} +{"parentUuid":"ca335c41-68b9-434c-a175-37608bef114c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UFKtK7gRVDHtYdCqWHKpNH","type":"tool_result","content":" 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster."}]},"uuid":"ab207847-4408-46bb-a3a6-ae6a863b97ca","timestamp":"2026-03-11T04:14:01.203Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"49dbd448-8ea6-4cac-94c2-ac811f924882","timestamp":"2026-03-11T04:14:01.397Z"} +{"parentUuid":"49dbd448-8ea6-4cac-94c2-ac811f924882","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.398Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012xj6v55dY83T6o9hmdB5Cw","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":780,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"ea466696-5280-4822-8838-adf61884a810"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"e1f89df0-3995-4a6b-920d-cfd8eda33404","timestamp":"2026-03-11T04:14:01.399Z"} +{"parentUuid":"e1f89df0-3995-4a6b-920d-cfd8eda33404","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012xj6v55dY83T6o9hmdB5Cw","type":"tool_result","content":" 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs."}]},"uuid":"a8597ee2-1f44-467f-bf10-a996eaeb8c62","timestamp":"2026-03-11T04:14:01.418Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"ddb875cd-6650-4aca-b057-f0435f067130","timestamp":"2026-03-11T04:14:01.620Z"} +{"parentUuid":"ddb875cd-6650-4aca-b057-f0435f067130","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.850Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DGcxTpp8A7RkSf7VuXqnTB","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":855,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"b0080042-dad4-4f88-b645-98ffecc0277a"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"82b5fee9-a7df-45e0-a248-d297882da294","timestamp":"2026-03-11T04:14:01.850Z"} +{"parentUuid":"82b5fee9-a7df-45e0-a248-d297882da294","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.867Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YWjZf2CY7399wvXfVLC2j1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015b74yXFCq5J7LrWV8ZsvJq","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":361,"cache_read_input_tokens":30025,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEnPTBbMQ2Qi4mH7fe","uuid":"f84ebaa6-6471-4760-9eb7-5940ae421560"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"28f519aa-da6d-47f1-b04e-122f81abcd7c","timestamp":"2026-03-11T04:14:01.867Z"} +{"parentUuid":"28f519aa-da6d-47f1-b04e-122f81abcd7c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DGcxTpp8A7RkSf7VuXqnTB","type":"tool_result","content":" 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n 881→\treturn jobs, nil\n 882→}\n 883→\n 884→// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries."}]},"uuid":"eec466ce-4fd3-44b6-8829-df5fa58a51b3","timestamp":"2026-03-11T04:14:01.855Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"0875c997-01fa-4208-bbd6-7b2eeba68210","timestamp":"2026-03-11T04:14:01.965Z"} +{"parentUuid":"0875c997-01fa-4208-bbd6-7b2eeba68210","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.977Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UXbUJt6mGt2CYh4GFNH8UM","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":1065,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"48d2c9ec-3202-489d-9059-567f2e9e5c78"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"d3eb3197-01b8-4681-bfe8-7c5de19fd298","timestamp":"2026-03-11T04:14:01.977Z"} +{"parentUuid":"d3eb3197-01b8-4681-bfe8-7c5de19fd298","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UXbUJt6mGt2CYh4GFNH8UM","type":"tool_result","content":" 1065→func (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n 1066→\t// Note: Query expects index on (job_state, start_time) for optimal performance\n 1067→\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n 1068→\t\tWhere(\"job.start_time < ?\", ts).\n 1069→\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n 1070→\n 1071→\trows, err := q.RunWith(r.stmtCache).Query()\n 1072→\tif err != nil {\n 1073→\t\tqueryString, queryVars, _ := q.ToSql()\n 1074→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 1075→\t}\n 1076→\tdefer rows.Close()\n 1077→\n 1078→\t// Use a map of sets for efficient deduplication\n 1079→\tnodeSet := make(map[string]map[string]struct{})\n 1080→\n 1081→\tvar (\n 1082→\t\tcluster string\n 1083→\t\trawResources []byte\n 1084→\t\tresources []*schema.Resource\n 1085→\t\tskippedRows int\n 1086→\t)\n 1087→\n 1088→\tfor rows.Next() {\n 1089→\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n 1090→\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n 1091→\t\t\tskippedRows++\n 1092→\t\t\tcontinue\n 1093→\t\t}\n 1094→"}]},"uuid":"a4474e3e-36d5-42d3-9e6a-9008f2d33344","timestamp":"2026-03-11T04:14:01.984Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"d2f0d0ae-de58-48a9-8e94-f51a9d08eb86","timestamp":"2026-03-11T04:14:01.985Z"} +{"parentUuid":"d2f0d0ae-de58-48a9-8e94-f51a9d08eb86","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015b74yXFCq5J7LrWV8ZsvJq","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"3df4b246-1f3f-491d-b315-f9191501afc8","timestamp":"2026-03-11T04:14:01.871Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"01da0e58-2fa8-40fe-b622-de77560aed81","timestamp":"2026-03-11T04:14:02.134Z"} +{"parentUuid":"01da0e58-2fa8-40fe-b622-de77560aed81","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:02.136Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YWjZf2CY7399wvXfVLC2j1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012cV8R3d84uMKMeEVE7kZr6","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":361,"cache_read_input_tokens":30025,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEnPTBbMQ2Qi4mH7fe","uuid":"d2a6489e-ab33-4944-b909-e1a67c4640d3"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"e62b410f-e877-4b78-af86-6e00136ca136","timestamp":"2026-03-11T04:14:02.136Z"} +{"parentUuid":"e62b410f-e877-4b78-af86-6e00136ca136","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012cV8R3d84uMKMeEVE7kZr6","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"c39348aa-9083-4428-913d-5f2869eb8cbc","timestamp":"2026-03-11T04:14:02.149Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"1e69b3fd-2c69-4cd9-9abf-c75b3eaebc37","timestamp":"2026-03-11T04:14:02.150Z"} +{"parentUuid":"1e69b3fd-2c69-4cd9-9abf-c75b3eaebc37","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:02.174Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YWjZf2CY7399wvXfVLC2j1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JZRHZ3wCNuYNqNRq7LDYjE","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":361,"cache_read_input_tokens":30025,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEnPTBbMQ2Qi4mH7fe","uuid":"c3e918e4-3e2b-431c-a688-23eec2ae4d51"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"bbd74ae0-8981-41d8-bf0c-25cc85d4f6d4","timestamp":"2026-03-11T04:14:02.174Z"} +{"parentUuid":"bbd74ae0-8981-41d8-bf0c-25cc85d4f6d4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JZRHZ3wCNuYNqNRq7LDYjE","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\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/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"9ae17797-e901-4976-839e-d2c38d30337d","timestamp":"2026-03-11T04:14:02.178Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"1d355ba9-9272-4521-ae1d-afb680c5eaa6","timestamp":"2026-03-11T04:14:02.184Z"} 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+{"parentUuid":"55da956f-c480-4958-b451-73086eb603f6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SMJYRRS5rhERReKTPvfQ4Y","type":"tool_result","content":" 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)"}]},"uuid":"2a600f6d-a129-46ca-8154-bb416b88b2cb","timestamp":"2026-03-11T04:14:05.066Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"3cc4c876-cd47-41f8-92ff-61309e64910f","timestamp":"2026-03-11T04:14:05.071Z"} 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+{"parentUuid":"f3cca726-1b92-463a-92da-1f10bae4174b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DEATum5DKqc5t7VKZUfzjC","type":"tool_result","content":" 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//"}]},"uuid":"89922332-3328-409a-9bfe-6c1ddb3457ef","timestamp":"2026-03-11T04:14:10.098Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"f026d878-c7bb-4f0f-9277-0e34850ec789","timestamp":"2026-03-11T04:14:10.100Z"} +{"parentUuid":"f026d878-c7bb-4f0f-9277-0e34850ec789","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","toolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","timestamp":"2026-03-11T04:14:16.681Z","uuid":"f04cac7f-ac8c-4fdf-8cc7-58e0ec8113b7"} +{"parentUuid":"c3361e4b-5df7-46eb-b020-0a86629777c1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Report: Missing defer rows.Close() Calls\n\nAfter thoroughly searching all `.Query()` and `.Queryx()` calls in `/Users/jan/prg/CC/cc-backend/internal/repository/`, I found **ONE** missing `defer close` statement:\n\n### Missing defer close:\n\n**File:** `/Users/jan/prg/CC/cc-backend/internal/repository/user.go` \n**Line:** 100 \n**Function:** `GetLdapUsernames()` \n**Issue:** `rows` is opened with `r.DB.Query()` but never closed. There is no `defer rows.Close()` statement anywhere in the function (lines 100-117). The function loops through rows but returns without closing them.\n\n```go\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\t// Missing: defer rows.Close()\n\t\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\t\tusers = append(users, username)\n\t}\n\t\n\treturn users, nil\n}\n```\n\n### Summary of Checked Calls:\n\nAll other `.Query()` and `.Queryx()` calls in the repository properly have `defer rows.Close()` or `defer xrows.Close()` within a few lines:\n\n- **node.go:** 7 Query() calls - All properly closed (287, 363, 416, 504, 533, 567, 627)\n- **jobQuery.go:** 1 Query() call - Properly closed (87)\n- **tags.go:** 5 calls (4 Query() + 1 Queryx()) - All properly closed (282, 338, 514, 552, 595)\n- **user.go:** 1 Query() call - **MISSING CLOSE (100)**; 1 other call properly closed (278)\n- **userConfig.go:** 1 Query() call - Properly closed (68)\n- **jobCreate.go:** 1 Query() call - Properly closed (78)\n- **jobFind.go:** 5 Query() calls - All properly closed (106, 139, 291, 319 x2)\n- **stats.go:** 7 Query() calls - All properly closed (233, 443, 504, 758, 832, 962)\n- **job.go:** 7 Query() calls - All properly closed (427, 605, 663, 751, 787, 863, 1071)\n\nThis is a resource leak that should be fixed immediately, as database connections obtained via `.Query()` must always be explicitly closed to prevent connection pool exhaustion."},{"type":"text","text":"agentId: ac117836bd0f6ef48 (for resuming to continue this agent's work if needed)\ntotal_tokens: 88147\ntool_uses: 20\nduration_ms: 30502"}]}]},"uuid":"80e99585-4e9e-4594-943d-e97db0d4e420","timestamp":"2026-03-11T04:14:16.680Z","toolUseResult":{"status":"completed","prompt":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close.","agentId":"ac117836bd0f6ef48","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Report: Missing defer rows.Close() Calls\n\nAfter thoroughly searching all `.Query()` and `.Queryx()` calls in `/Users/jan/prg/CC/cc-backend/internal/repository/`, I found **ONE** missing `defer close` statement:\n\n### Missing defer close:\n\n**File:** `/Users/jan/prg/CC/cc-backend/internal/repository/user.go` \n**Line:** 100 \n**Function:** `GetLdapUsernames()` \n**Issue:** `rows` is opened with `r.DB.Query()` but never closed. There is no `defer rows.Close()` statement anywhere in the function (lines 100-117). The function loops through rows but returns without closing them.\n\n```go\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\t// Missing: defer rows.Close()\n\t\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\t\tusers = append(users, username)\n\t}\n\t\n\treturn users, nil\n}\n```\n\n### Summary of Checked Calls:\n\nAll other `.Query()` and `.Queryx()` calls in the repository properly have `defer rows.Close()` or `defer xrows.Close()` within a few lines:\n\n- **node.go:** 7 Query() calls - All properly closed (287, 363, 416, 504, 533, 567, 627)\n- **jobQuery.go:** 1 Query() call - Properly closed (87)\n- **tags.go:** 5 calls (4 Query() + 1 Queryx()) - All properly closed (282, 338, 514, 552, 595)\n- **user.go:** 1 Query() call - **MISSING CLOSE (100)**; 1 other call properly closed (278)\n- **userConfig.go:** 1 Query() call - Properly closed (68)\n- **jobCreate.go:** 1 Query() call - Properly closed (78)\n- **jobFind.go:** 5 Query() calls - All properly closed (106, 139, 291, 319 x2)\n- **stats.go:** 7 Query() calls - All properly closed (233, 443, 504, 758, 832, 962)\n- **job.go:** 7 Query() calls - All properly closed (427, 605, 663, 751, 787, 863, 1071)\n\nThis is a resource leak that should be fixed immediately, as database connections obtained via `.Query()` must always be explicitly closed to prevent connection pool exhaustion."}],"totalDurationMs":30502,"totalTokens":88147,"totalToolUseCount":20,"usage":{"input_tokens":2,"cache_creation_input_tokens":465,"cache_read_input_tokens":86936,"output_tokens":744,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":465},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"c3361e4b-5df7-46eb-b020-0a86629777c1"} +{"parentUuid":"80e99585-4e9e-4594-943d-e97db0d4e420","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01945vPcRSCKDygAQ8VpGqpo","type":"tool_result","content":"internal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\ninternal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\ninternal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:287:\t\tRunWith(r.DB).Query()\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:416:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:504:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:533:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:567:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:627:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:443:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:504:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:758:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:832:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:962:\trows, err := mainQuery.RunWith(r.DB).Query()\ninternal/repository/tags.go:338:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:514:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:552:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:595:\trows, err := q.RunWith(r.stmtCache).Query()","is_error":false}]},"uuid":"02079add-f83a-4cd6-8bd0-bc159a15c369","timestamp":"2026-03-11T04:15:19.414Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"7e3f9416-4855-442d-a875-386678496b46","timestamp":"2026-03-11T04:15:19.415Z"} 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[]NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err"}]},"uuid":"d7388099-e556-4b86-8af3-1ea1218a0965","timestamp":"2026-03-11T04:15:21.190Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"3c594501-fe3f-4fb0-889e-ff78c6ee6fc7","timestamp":"2026-03-11T04:15:21.398Z"} 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+{"parentUuid":"ce41a0eb-19b1-421c-b94a-6542ccef9892","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SV6F4QguVSTA4wpr9puRnZ","type":"tool_result","content":" 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}"}]},"uuid":"088dd191-4a09-4cef-a586-1fc2a8c90257","timestamp":"2026-03-11T04:15:21.418Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"5fd538f1-7fd8-4441-8008-49f5aebbed1d","timestamp":"2026-03-11T04:15:21.599Z"} 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+{"parentUuid":"57709dbd-8013-49cb-a660-025904d0e2bf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N8FhWwh3aMRs42S4ZGTnZ9","type":"tool_result","content":" 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {"}]},"uuid":"ef5ea5de-dc15-4583-a062-9580c27694b7","timestamp":"2026-03-11T04:15:21.722Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"e087eeed-3bbc-4ca1-ab1c-fefc3c18f81a","timestamp":"2026-03-11T04:15:21.822Z"} +{"parentUuid":"e087eeed-3bbc-4ca1-ab1c-fefc3c18f81a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:15:24.702Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CYwYxFj2UGcRu3m54vLPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013c5XiFEkii6sdaHpM7HNBV","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":595,"limit":35},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1490,"cache_read_input_tokens":55160,"cache_creation":{"ephemeral_5m_input_tokens":1490,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveLmfxSGyoEvuFhUcpr","uuid":"8066f18f-eb1e-4f5c-b8f0-92257986399b"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"71c5ff8f-b364-4bed-b477-d30295bd4e17","timestamp":"2026-03-11T04:15:24.702Z"} +{"parentUuid":"71c5ff8f-b364-4bed-b477-d30295bd4e17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013c5XiFEkii6sdaHpM7HNBV","type":"tool_result","content":" 595→// or ErrNotFound if no matches are found.\n 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→\tif user == nil {\n 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→\t}\n 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}\n 620→\t\t\treturn results, nil\n 621→\t\t}\n 622→\t\treturn emptyResult, ErrNotFound\n 623→\n 624→\t} else {\n 625→\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n 626→\t\treturn emptyResult, ErrForbidden\n 627→\t}\n 628→}\n 629→"}]},"uuid":"8802235e-6d54-4098-9ba0-76903aeb913f","timestamp":"2026-03-11T04:15:24.708Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"14a20f67-db50-4223-830e-6bf212754a1b","timestamp":"2026-03-11T04:15:24.753Z"} +{"parentUuid":"14a20f67-db50-4223-830e-6bf212754a1b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:15:26.538Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SD79U9NcssGrYzi6kipTJ8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01429nv8m6ZXgXryPduXwZs2","name":"Bash","input":{"command":"git diff internal/repository/node.go internal/repository/stats.go internal/repository/tags.go","description":"Check git diff for modified repository files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":855,"cache_read_input_tokens":56650,"cache_creation":{"ephemeral_5m_input_tokens":855,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveLzE1xEwtCDcaugnUE","uuid":"b9b39c88-a011-4924-928d-34d5b7da90ad"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"8a47d563-d8e0-4389-aeec-2f489a94b680","timestamp":"2026-03-11T04:15:26.539Z"} +{"parentUuid":"8a47d563-d8e0-4389-aeec-2f489a94b680","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01429nv8m6ZXgXryPduXwZs2","type":"tool_result","content":"","is_error":false}]},"uuid":"ecca5c9d-2e89-4fa2-a465-4e2ec3ce6c34","timestamp":"2026-03-11T04:15:26.592Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"d0c59835-025e-41ad-bb91-bb1031fb4242","timestamp":"2026-03-11T04:15:26.592Z"} +{"parentUuid":"d0c59835-025e-41ad-bb91-bb1031fb4242","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","toolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","timestamp":"2026-03-11T04:15:42.844Z","uuid":"9f4270b8-406c-44b5-94d8-9b97add2dbc9"} +{"parentUuid":"43e2b0d9-7514-4e1f-a562-e90e75ff1eed","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014DwjD4CYK5HxpUYGgGmVAy","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me compile my findings:\n\n## Database Index Definitions Report\n\n### Summary of Index Definitions\n\nI've analyzed all migration files in `/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/`. Here are the comprehensive findings:\n\n---\n\n### **Indexes on the `job` Table**\n\n#### **Initial Indexes (02_add-index.up.sql):**\n1. `job_stats` - (cluster, subcluster, hpc_user)\n2. `job_by_user` - (hpc_user)\n3. `job_by_starttime` - (start_time)\n4. `job_by_job_id` - (job_id, cluster, start_time)\n5. `job_list` - (cluster, job_state)\n6. `job_list_user` - (hpc_user, cluster, job_state)\n7. `job_list_users` - (hpc_user, job_state)\n8. `job_list_users_start` - (start_time, hpc_user, job_state)\n\n#### **Comprehensive Indexes Added in Migration 08 (08_add-footprint.up.sql):**\nThe migration dropped old indexes and created a much more extensive set of 80+ indexes organized by filter type:\n\n**Cluster Filter:**\n- `jobs_cluster` - (cluster)\n- `jobs_cluster_user` - (cluster, hpc_user)\n- `jobs_cluster_project` - (cluster, project)\n- `jobs_cluster_subcluster` - (cluster, subcluster)\n\n**Cluster Filter with Sorting:**\n- `jobs_cluster_starttime` - (cluster, start_time)\n- `jobs_cluster_duration` - (cluster, duration)\n- `jobs_cluster_numnodes` - (cluster, num_nodes)\n- `jobs_cluster_numhwthreads` - (cluster, num_hwthreads)\n- `jobs_cluster_numacc` - (cluster, num_acc)\n- `jobs_cluster_energy` - (cluster, energy)\n\n**Cluster + JobState Filter:**\n- `jobs_cluster_jobstate` - (cluster, job_state)\n- `jobs_cluster_jobstate_user` - (cluster, job_state, hpc_user)\n- `jobs_cluster_jobstate_project` - (cluster, job_state, project)\n\n**Cluster + JobState Filter Sorting:**\n- `jobs_cluster_jobstate_starttime` - (cluster, job_state, start_time)\n- `jobs_cluster_jobstate_duration` - (cluster, job_state, duration)\n- `jobs_cluster_jobstate_numnodes` - (cluster, job_state, num_nodes)\n- `jobs_cluster_jobstate_numhwthreads` - (cluster, job_state, num_hwthreads)\n- `jobs_cluster_jobstate_numacc` - (cluster, job_state, num_acc)\n- `jobs_cluster_jobstate_energy` - (cluster, job_state, energy)\n\n**JobState Filter:**\n- `jobs_jobstate` - (job_state)\n- `jobs_jobstate_user` - (job_state, hpc_user)\n- `jobs_jobstate_project` - (job_state, project)\n- `jobs_jobstate_cluster` - (job_state, cluster)\n\n**JobState Filter Sorting:**\n- `jobs_jobstate_starttime` - (job_state, start_time)\n- `jobs_jobstate_duration` - (job_state, duration)\n- `jobs_jobstate_numnodes` - (job_state, num_nodes)\n- `jobs_jobstate_numhwthreads` - (job_state, num_hwthreads)\n- `jobs_jobstate_numacc` - (job_state, num_acc)\n- `jobs_jobstate_energy` - (job_state, energy)\n\n**User Filter and Sorting:**\n- `jobs_user` - (hpc_user)\n- `jobs_user_starttime` - (hpc_user, start_time)\n- `jobs_user_duration` - (hpc_user, duration)\n- `jobs_user_numnodes` - (hpc_user, num_nodes)\n- `jobs_user_numhwthreads` - (hpc_user, num_hwthreads)\n- `jobs_user_numacc` - (hpc_user, num_acc)\n- `jobs_user_energy` - (hpc_user, energy)\n\n**ArrayJob Filter:**\n- `jobs_arrayjobid_starttime` - (array_job_id, start_time)\n- `jobs_cluster_arrayjobid_starttime` - (cluster, array_job_id, start_time)\n\n**Standalone Sorting Indexes:**\n- `jobs_starttime` - (start_time)\n- `jobs_duration` - (duration)\n- `jobs_numnodes` - (num_nodes)\n- `jobs_numhwthreads` - (num_hwthreads)\n- `jobs_numacc` - (num_acc)\n- `jobs_energy` - (energy)\n\nAnd many more cluster+partition combinations...\n\n#### **Migration 09 (09_add-job-cache.up.sql) - Further Refinements:**\nCreated additional indexes including time-based sorting combinations:\n- `jobs_cluster_duration_starttime` - (cluster, duration, start_time)\n- `jobs_cluster_starttime_duration` - (cluster, start_time, duration)\n- `jobs_user_starttime_duration` - (hpc_user, start_time, duration)\n- `jobs_user_duration_starttime` - (hpc_user, duration, start_time)\n- `jobs_cluster_jobstate_starttime_duration` - (cluster, job_state, start_time, duration)\n\n---\n\n### **Direct Answer to Your Questions:**\n\n1. **Is there an index on `job_state`?** \n - **YES** - Multiple indexes include `job_state`:\n - `jobs_jobstate` - (job_state) - single column\n - `jobs_cluster_jobstate` - (cluster, job_state)\n - And many composite indexes with job_state as leading or subsequent columns\n\n2. **Is there an index on `start_time`?**\n - **YES** - Multiple indexes include `start_time`:\n - `jobs_starttime` - (start_time) - single column\n - `job_by_starttime` - (start_time) - from initial migration\n - And many composite indexes with start_time\n\n3. **Is there a composite index on `(job_state, start_time)`?**\n - **YES** - `jobs_jobstate_starttime` - (job_state, start_time) - explicitly created for this combination\n\n---\n\n### **Node State Indexes (Migration 10):**\n- `nodes_cluster` - (cluster)\n- `nodes_cluster_subcluster` - (cluster, subcluster)\n- `nodestates_timestamp` - (time_stamp)\n- `nodestates_state_timestamp` - (node_state, time_stamp)\n- `nodestates_health_timestamp` - (health_state, time_stamp)\n- `nodestates_nodeid_state` - (node_id, node_state)\n- `nodestates_nodeid_health` - (node_id, health_state)\n- `nodestates_nodeid_timestamp` - (node_id, time_stamp DESC)\n\n### **Tag Indexes (Migration 10):**\n- `tags_jobid` - (job_id) on jobtag table\n- `tags_tagid` - (tag_id) on jobtag table\n\n---\n\n## `rows.Close()` Analysis\n\nI reviewed all `.Query()` calls in the repository files. Here are my findings:\n\n### **All `Query()` calls have proper `defer rows.Close()`:**\n\n**Files checked:**\n- `internal/repository/job.go` - All 8 Query() calls have defer rows.Close()\n- `internal/repository/jobFind.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/jobQuery.go` - Query() call has defer rows.Close()\n- `internal/repository/jobCreate.go` - Query() call has defer rows.Close()\n- `internal/repository/tags.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/node.go` - All Query() calls have defer rows.Close()\n- `internal/repository/stats.go` - All Query() calls have defer rows.Close()\n\n**Note:** In `job.go` (line 603-610), there's a conditional defer in `FindColumnValues()`:\n```go\nrows, err := ...Query()\nif err != nil && err != sql.ErrNoRows {\n return emptyResult, fmt.Errorf(...)\n} else if err == nil {\n defer rows.Close() // Conditional defer - only called when err is nil\n // process rows\n}\n```\nThis is safe because `defer rows.Close()` is only executed when the error is nil (i.e., when rows is valid).\n\n### **FindJobIdsByTag Function:**\nLocated at `/Users/jan/prg/CC/cc-backend/internal/repository/job.go:747`\n\nThe function properly uses:\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n return nil, fmt.Errorf(...)\n}\ndefer rows.Close() // ✓ Properly deferred\n```\n\n---\n\n## Summary\n\n**All database resources are properly managed.** No missing `rows.Close()` calls were found. The codebase follows Go best practices by using `defer` statements to ensure row sets are closed even if errors occur during iteration.\n\nThe database schema includes extensive indexes optimized for filtering and sorting by cluster, job_state, start_time, and user—including the specific composite index `(job_state, start_time)` for efficient queries combining these conditions."},{"type":"text","text":"agentId: a7b417d75bd07c822 (for resuming to continue this agent's work if needed)\ntotal_tokens: 60120\ntool_uses: 26\nduration_ms: 112747"}]}]},"uuid":"f1fecc74-12f7-481d-b004-ff9199a1ca15","timestamp":"2026-03-11T04:15:42.843Z","toolUseResult":{"status":"completed","prompt":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover.","agentId":"a7b417d75bd07c822","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me compile my findings:\n\n## Database Index Definitions Report\n\n### Summary of Index Definitions\n\nI've analyzed all migration files in `/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/`. Here are the comprehensive findings:\n\n---\n\n### **Indexes on the `job` Table**\n\n#### **Initial Indexes (02_add-index.up.sql):**\n1. `job_stats` - (cluster, subcluster, hpc_user)\n2. `job_by_user` - (hpc_user)\n3. `job_by_starttime` - (start_time)\n4. `job_by_job_id` - (job_id, cluster, start_time)\n5. `job_list` - (cluster, job_state)\n6. `job_list_user` - (hpc_user, cluster, job_state)\n7. `job_list_users` - (hpc_user, job_state)\n8. `job_list_users_start` - (start_time, hpc_user, job_state)\n\n#### **Comprehensive Indexes Added in Migration 08 (08_add-footprint.up.sql):**\nThe migration dropped old indexes and created a much more extensive set of 80+ indexes organized by filter type:\n\n**Cluster Filter:**\n- `jobs_cluster` - (cluster)\n- `jobs_cluster_user` - (cluster, hpc_user)\n- `jobs_cluster_project` - (cluster, project)\n- `jobs_cluster_subcluster` - (cluster, subcluster)\n\n**Cluster Filter with Sorting:**\n- `jobs_cluster_starttime` - (cluster, start_time)\n- `jobs_cluster_duration` - (cluster, duration)\n- `jobs_cluster_numnodes` - (cluster, num_nodes)\n- `jobs_cluster_numhwthreads` - (cluster, num_hwthreads)\n- `jobs_cluster_numacc` - (cluster, num_acc)\n- `jobs_cluster_energy` - (cluster, energy)\n\n**Cluster + JobState Filter:**\n- `jobs_cluster_jobstate` - (cluster, job_state)\n- `jobs_cluster_jobstate_user` - (cluster, job_state, hpc_user)\n- `jobs_cluster_jobstate_project` - (cluster, job_state, project)\n\n**Cluster + JobState Filter Sorting:**\n- `jobs_cluster_jobstate_starttime` - (cluster, job_state, start_time)\n- `jobs_cluster_jobstate_duration` - (cluster, job_state, duration)\n- `jobs_cluster_jobstate_numnodes` - (cluster, job_state, num_nodes)\n- `jobs_cluster_jobstate_numhwthreads` - (cluster, job_state, num_hwthreads)\n- `jobs_cluster_jobstate_numacc` - (cluster, job_state, num_acc)\n- `jobs_cluster_jobstate_energy` - (cluster, job_state, energy)\n\n**JobState Filter:**\n- `jobs_jobstate` - (job_state)\n- `jobs_jobstate_user` - (job_state, hpc_user)\n- `jobs_jobstate_project` - (job_state, project)\n- `jobs_jobstate_cluster` - (job_state, cluster)\n\n**JobState Filter Sorting:**\n- `jobs_jobstate_starttime` - (job_state, start_time)\n- `jobs_jobstate_duration` - (job_state, duration)\n- `jobs_jobstate_numnodes` - (job_state, num_nodes)\n- `jobs_jobstate_numhwthreads` - (job_state, num_hwthreads)\n- `jobs_jobstate_numacc` - (job_state, num_acc)\n- `jobs_jobstate_energy` - (job_state, energy)\n\n**User Filter and Sorting:**\n- `jobs_user` - (hpc_user)\n- `jobs_user_starttime` - (hpc_user, start_time)\n- `jobs_user_duration` - (hpc_user, duration)\n- `jobs_user_numnodes` - (hpc_user, num_nodes)\n- `jobs_user_numhwthreads` - (hpc_user, num_hwthreads)\n- `jobs_user_numacc` - (hpc_user, num_acc)\n- `jobs_user_energy` - (hpc_user, energy)\n\n**ArrayJob Filter:**\n- `jobs_arrayjobid_starttime` - (array_job_id, start_time)\n- `jobs_cluster_arrayjobid_starttime` - (cluster, array_job_id, start_time)\n\n**Standalone Sorting Indexes:**\n- `jobs_starttime` - (start_time)\n- `jobs_duration` - (duration)\n- `jobs_numnodes` - (num_nodes)\n- `jobs_numhwthreads` - (num_hwthreads)\n- `jobs_numacc` - (num_acc)\n- `jobs_energy` - (energy)\n\nAnd many more cluster+partition combinations...\n\n#### **Migration 09 (09_add-job-cache.up.sql) - Further Refinements:**\nCreated additional indexes including time-based sorting combinations:\n- `jobs_cluster_duration_starttime` - (cluster, duration, start_time)\n- `jobs_cluster_starttime_duration` - (cluster, start_time, duration)\n- `jobs_user_starttime_duration` - (hpc_user, start_time, duration)\n- `jobs_user_duration_starttime` - (hpc_user, duration, start_time)\n- `jobs_cluster_jobstate_starttime_duration` - (cluster, job_state, start_time, duration)\n\n---\n\n### **Direct Answer to Your Questions:**\n\n1. **Is there an index on `job_state`?** \n - **YES** - Multiple indexes include `job_state`:\n - `jobs_jobstate` - (job_state) - single column\n - `jobs_cluster_jobstate` - (cluster, job_state)\n - And many composite indexes with job_state as leading or subsequent columns\n\n2. **Is there an index on `start_time`?**\n - **YES** - Multiple indexes include `start_time`:\n - `jobs_starttime` - (start_time) - single column\n - `job_by_starttime` - (start_time) - from initial migration\n - And many composite indexes with start_time\n\n3. **Is there a composite index on `(job_state, start_time)`?**\n - **YES** - `jobs_jobstate_starttime` - (job_state, start_time) - explicitly created for this combination\n\n---\n\n### **Node State Indexes (Migration 10):**\n- `nodes_cluster` - (cluster)\n- `nodes_cluster_subcluster` - (cluster, subcluster)\n- `nodestates_timestamp` - (time_stamp)\n- `nodestates_state_timestamp` - (node_state, time_stamp)\n- `nodestates_health_timestamp` - (health_state, time_stamp)\n- `nodestates_nodeid_state` - (node_id, node_state)\n- `nodestates_nodeid_health` - (node_id, health_state)\n- `nodestates_nodeid_timestamp` - (node_id, time_stamp DESC)\n\n### **Tag Indexes (Migration 10):**\n- `tags_jobid` - (job_id) on jobtag table\n- `tags_tagid` - (tag_id) on jobtag table\n\n---\n\n## `rows.Close()` Analysis\n\nI reviewed all `.Query()` calls in the repository files. Here are my findings:\n\n### **All `Query()` calls have proper `defer rows.Close()`:**\n\n**Files checked:**\n- `internal/repository/job.go` - All 8 Query() calls have defer rows.Close()\n- `internal/repository/jobFind.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/jobQuery.go` - Query() call has defer rows.Close()\n- `internal/repository/jobCreate.go` - Query() call has defer rows.Close()\n- `internal/repository/tags.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/node.go` - All Query() calls have defer rows.Close()\n- `internal/repository/stats.go` - All Query() calls have defer rows.Close()\n\n**Note:** In `job.go` (line 603-610), there's a conditional defer in `FindColumnValues()`:\n```go\nrows, err := ...Query()\nif err != nil && err != sql.ErrNoRows {\n return emptyResult, fmt.Errorf(...)\n} else if err == nil {\n defer rows.Close() // Conditional defer - only called when err is nil\n // process rows\n}\n```\nThis is safe because `defer rows.Close()` is only executed when the error is nil (i.e., when rows is valid).\n\n### **FindJobIdsByTag Function:**\nLocated at `/Users/jan/prg/CC/cc-backend/internal/repository/job.go:747`\n\nThe function properly uses:\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n return nil, fmt.Errorf(...)\n}\ndefer rows.Close() // ✓ Properly deferred\n```\n\n---\n\n## Summary\n\n**All database resources are properly managed.** No missing `rows.Close()` calls were found. 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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4117},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"8f374025-f7e5-4bd7-bc8b-5c96cdbb174b","timestamp":"2026-03-11T04:17:16.768Z"} +{"parentUuid":"8f374025-f7e5-4bd7-bc8b-5c96cdbb174b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01S3uL8krvXrWpaoo6EkhAr4","type":"message","role":"assistant","content":[{"type":"text","text":"Good findings. One leak in `user.go:GetLdapUsernames()`. Now let me look at `job.go` for more issues and understand the index problem."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4117},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"120de10b-840c-4397-a082-5c3ad615e27b","timestamp":"2026-03-11T04:17:18.523Z"} +{"parentUuid":"120de10b-840c-4397-a082-5c3ad615e27b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01S3uL8krvXrWpaoo6EkhAr4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019eLTNpQUeQPCzxYPeZZjdg","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4117},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"7780c272-3321-453b-ae44-46c9dede3090","timestamp":"2026-03-11T04:17:19.077Z"} +{"parentUuid":"7780c272-3321-453b-ae44-46c9dede3090","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01S3uL8krvXrWpaoo6EkhAr4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SpUgdLtipT6jmWLCSyReLJ","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"output_tokens":4105,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4117,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"3099dc9a-92c2-40c0-b19b-96deb73a753b","timestamp":"2026-03-11T04:17:19.260Z"} +{"parentUuid":"3099dc9a-92c2-40c0-b19b-96deb73a753b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SpUgdLtipT6jmWLCSyReLJ","toolUseID":"toolu_01SpUgdLtipT6jmWLCSyReLJ","timestamp":"2026-03-11T04:17:19.290Z","uuid":"51256850-68d9-4bb3-9c8e-6e45c58f61d8"} +{"parentUuid":"3099dc9a-92c2-40c0-b19b-96deb73a753b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpUgdLtipT6jmWLCSyReLJ","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 repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//\n 123→// Required fields: Username, Roles\n 124→// Optional fields: Name, Email, Password, Projects, AuthSource\n 125→func (r *UserRepository) AddUser(user *schema.User) error {\n 126→\trolesJson, _ := json.Marshal(user.Roles)\n 127→\tprojectsJson, _ := json.Marshal(user.Projects)\n 128→\n 129→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 130→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 131→\n 132→\tif user.Name != \"\" {\n 133→\t\tcols = append(cols, \"name\")\n 134→\t\tvals = append(vals, user.Name)\n 135→\t}\n 136→\tif user.Email != \"\" {\n 137→\t\tcols = append(cols, \"email\")\n 138→\t\tvals = append(vals, user.Email)\n 139→\t}\n 140→\tif user.Password != \"\" {\n 141→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 142→\t\tif err != nil {\n 143→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 144→\t\t\treturn err\n 145→\t\t}\n 146→\t\tcols = append(cols, \"password\")\n 147→\t\tvals = append(vals, string(password))\n 148→\t}\n 149→\tif user.AuthSource != -1 {\n 150→\t\tcols = append(cols, \"ldap\")\n 151→\t\tvals = append(vals, int(user.AuthSource))\n 152→\t}\n 153→\n 154→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 155→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 156→\t\treturn err\n 157→\t}\n 158→\n 159→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 160→\n 161→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 162→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 163→\tif err != nil {\n 164→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 165→\t} else if defaultMetricsCfg != nil {\n 166→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 167→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 168→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 169→\t\t\tif err != nil {\n 170→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 171→\t\t\t\tcontinue\n 172→\t\t\t}\n 173→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 174→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 175→\t\t\tif _, err := sq.Insert(\"configuration\").\n 176→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 177→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 178→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 180→\t\t\t} else {\n 181→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 182→\t\t\t}\n 183→\t\t}\n 184→\t}\n 185→\t// END DEPRECATION\n 186→\n 187→\treturn nil\n 188→}\n 189→\n 190→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 191→\t// user contains updated info -> Apply to dbUser\n 192→\t// --- Simple Name Update ---\n 193→\tif dbUser.Name != user.Name {\n 194→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 195→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 196→\t\t\treturn err\n 197→\t\t}\n 198→\t}\n 199→\n 200→\t// --- Def Helpers ---\n 201→\t// Helper to update roles\n 202→\tupdateRoles := func(roles []string) error {\n 203→\t\trolesJSON, _ := json.Marshal(roles)\n 204→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 205→\t\treturn err\n 206→\t}\n 207→\n 208→\t// Helper to update projects\n 209→\tupdateProjects := func(projects []string) error {\n 210→\t\tprojectsJSON, _ := json.Marshal(projects)\n 211→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 212→\t\treturn err\n 213→\t}\n 214→\n 215→\t// Helper to clear projects\n 216→\tclearProjects := func() error {\n 217→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 218→\t\treturn err\n 219→\t}\n 220→\n 221→\t// --- Manager Role Handling ---\n 222→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 223→\t\t// Existing Manager: update projects\n 224→\t\tif err := updateProjects(user.Projects); err != nil {\n 225→\t\t\treturn err\n 226→\t\t}\n 227→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 228→\t\t// New Manager: update roles and projects\n 229→\t\tif err := updateRoles(user.Roles); err != nil {\n 230→\t\t\treturn err\n 231→\t\t}\n 232→\t\tif err := updateProjects(user.Projects); err != nil {\n 233→\t\t\treturn err\n 234→\t\t}\n 235→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 236→\t\t// Remove Manager: update roles and clear projects\n 237→\t\tif err := updateRoles(user.Roles); err != nil {\n 238→\t\t\treturn err\n 239→\t\t}\n 240→\t\tif err := clearProjects(); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t}\n 244→\n 245→\t// --- Support Role Handling ---\n 246→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 247→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 248→\t\t// New Support: update roles\n 249→\t\tif err := updateRoles(user.Roles); err != nil {\n 250→\t\t\treturn err\n 251→\t\t}\n 252→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 253→\t\t// Remove Support: update roles\n 254→\t\tif err := updateRoles(user.Roles); err != nil {\n 255→\t\t\treturn err\n 256→\t\t}\n 257→\t}\n 258→\n 259→\treturn nil\n 260→}\n 261→\n 262→func (r *UserRepository) DelUser(username string) error {\n 263→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 264→\tif err != nil {\n 265→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 266→\t\treturn err\n 267→\t}\n 268→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 269→\treturn nil\n 270→}\n 271→\n 272→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 273→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 274→\tif specialsOnly {\n 275→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 276→\t}\n 277→\n 278→\trows, err := q.RunWith(r.DB).Query()\n 279→\tif err != nil {\n 280→\t\tcclog.Warn(\"Error while querying user list\")\n 281→\t\treturn nil, err\n 282→\t}\n 283→\n 284→\tusers := make([]*schema.User, 0)\n 285→\tdefer rows.Close()\n 286→\tfor rows.Next() {\n 287→\t\trawroles := \"\"\n 288→\t\trawprojects := \"\"\n 289→\t\tuser := &schema.User{}\n 290→\t\tvar name, email sql.NullString\n 291→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 292→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 293→\t\t\treturn nil, err\n 294→\t\t}\n 295→\n 296→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 297→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 298→\t\t\treturn nil, err\n 299→\t\t}\n 300→\n 301→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\n 305→\t\tuser.Name = name.String\n 306→\t\tuser.Email = email.String\n 307→\t\tusers = append(users, user)\n 308→\t}\n 309→\treturn users, nil\n 310→}\n 311→\n 312→// AddRole adds a role to a user's role list.\n 313→// Role string is automatically lowercased.\n 314→// Valid roles: admin, support, manager, api, user\n 315→//\n 316→// Returns error if:\n 317→// - User doesn't exist\n 318→// - Role is invalid\n 319→// - User already has the role\n 320→func (r *UserRepository) AddRole(\n 321→\tctx context.Context,\n 322→\tusername string,\n 323→\tqueryrole string,\n 324→) error {\n 325→\tnewRole := strings.ToLower(queryrole)\n 326→\tuser, err := r.GetUser(username)\n 327→\tif err != nil {\n 328→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 329→\t\treturn err\n 330→\t}\n 331→\n 332→\texists, valid := user.HasValidRole(newRole)\n 333→\n 334→\tif !valid {\n 335→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 336→\t}\n 337→\tif exists {\n 338→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 339→\t}\n 340→\n 341→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 342→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 343→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 344→\t\treturn err\n 345→\t}\n 346→\treturn nil\n 347→}\n 348→\n 349→// RemoveRole removes a role from a user's role list.\n 350→//\n 351→// Special rules:\n 352→// - Cannot remove \"manager\" role while user has assigned projects\n 353→// - Must remove all projects first before removing manager role\n 354→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 355→\toldRole := strings.ToLower(queryrole)\n 356→\tuser, err := r.GetUser(username)\n 357→\tif err != nil {\n 358→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\texists, valid := user.HasValidRole(oldRole)\n 363→\n 364→\tif !valid {\n 365→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 366→\t}\n 367→\tif !exists {\n 368→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 369→\t}\n 370→\n 371→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 372→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 373→\t}\n 374→\n 375→\tvar newroles []string\n 376→\tfor _, r := range user.Roles {\n 377→\t\tif r != oldRole {\n 378→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 379→\t\t}\n 380→\t}\n 381→\n 382→\tmroles, _ := json.Marshal(newroles)\n 383→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 384→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 385→\t\treturn err\n 386→\t}\n 387→\treturn nil\n 388→}\n 389→\n 390→// AddProject assigns a project to a manager user.\n 391→// Only users with the \"manager\" role can have assigned projects.\n 392→//\n 393→// Returns error if:\n 394→// - User doesn't have manager role\n 395→// - User already manages the project\n 396→func (r *UserRepository) AddProject(\n 397→\tctx context.Context,\n 398→\tusername string,\n 399→\tproject string,\n 400→) error {\n 401→\tuser, err := r.GetUser(username)\n 402→\tif err != nil {\n 403→\t\treturn err\n 404→\t}\n 405→\n 406→\tif !user.HasRole(schema.RoleManager) {\n 407→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 408→\t}\n 409→\n 410→\tif user.HasProject(project) {\n 411→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 412→\t}\n 413→\n 414→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 415→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 416→\t\treturn err\n 417→\t}\n 418→\n 419→\treturn nil\n 420→}\n 421→\n 422→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 423→\tuser, err := r.GetUser(username)\n 424→\tif err != nil {\n 425→\t\treturn err\n 426→\t}\n 427→\n 428→\tif !user.HasRole(schema.RoleManager) {\n 429→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 430→\t}\n 431→\n 432→\tif !user.HasProject(project) {\n 433→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 434→\t}\n 435→\n 436→\tvar exists bool\n 437→\tvar newprojects []string\n 438→\tfor _, p := range user.Projects {\n 439→\t\tif p != project {\n 440→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 441→\t\t} else {\n 442→\t\t\texists = true\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif exists {\n 447→\t\tvar result any\n 448→\t\tif len(newprojects) == 0 {\n 449→\t\t\tresult = \"[]\"\n 450→\t\t} else {\n 451→\t\t\tresult, _ = json.Marshal(newprojects)\n 452→\t\t}\n 453→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 454→\t\t\treturn err\n 455→\t\t}\n 456→\t\treturn nil\n 457→\t} else {\n 458→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 459→\t}\n 460→}\n 461→\n 462→type ContextKey string\n 463→\n 464→const ContextUserKey ContextKey = \"user\"\n 465→\n 466→func GetUserFromContext(ctx context.Context) *schema.User {\n 467→\tx := ctx.Value(ContextUserKey)\n 468→\tif x == nil {\n 469→\t\tcclog.Warnf(\"no user retrieved from context\")\n 470→\t\treturn nil\n 471→\t}\n 472→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 473→\treturn x.(*schema.User)\n 474→}\n 475→\n 476→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 477→\tme := GetUserFromContext(ctx)\n 478→\tif me != nil && me.Username != username &&\n 479→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 480→\t\treturn nil, errors.New(\"forbidden\")\n 481→\t}\n 482→\n 483→\tuser := &model.User{Username: username}\n 484→\tvar name, email sql.NullString\n 485→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 486→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 487→\t\tif err == sql.ErrNoRows {\n 488→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 489→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 490→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 491→\t\t\treturn nil, nil\n 492→\t\t}\n 493→\n 494→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 495→\t\treturn nil, err\n 496→\t}\n 497→\n 498→\tuser.Name = name.String\n 499→\tuser.Email = email.String\n 500→\treturn user, nil\n 501→}\n 502→"}]},"uuid":"e52ccb30-8308-4e39-86d2-3ffcea41e8de","timestamp":"2026-03-11T04:17:19.289Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":502,"startLine":1,"totalLines":502}},"sourceToolAssistantUUID":"3099dc9a-92c2-40c0-b19b-96deb73a753b"} +{"parentUuid":"e52ccb30-8308-4e39-86d2-3ffcea41e8de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019eLTNpQUeQPCzxYPeZZjdg","toolUseID":"toolu_019eLTNpQUeQPCzxYPeZZjdg","timestamp":"2026-03-11T04:17:19.305Z","uuid":"b59ee0ab-86e4-4e9a-ae5a-e05ffd749fe2"} +{"parentUuid":"7780c272-3321-453b-ae44-46c9dede3090","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019eLTNpQUeQPCzxYPeZZjdg","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_019eLTNpQUeQPCzxYPeZZjdg.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"70aefdab-897d-4f81-94eb-0a8415b9a9d1","timestamp":"2026-03-11T04:17:19.305Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.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 repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n// - JobRepository: Job lifecycle management and querying\n// - UserRepository: User management and authentication\n// - NodeRepository: Cluster node state tracking\n// - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB *sqlx.DB // Database connection pool\n\tstmtCache *sq.StmtCache // Prepared statement cache for query optimization\n\tcache *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver string // Database driver name (e.g., \"sqlite3\")\n\tMutex sync.Mutex // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n// - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n// - job: Job struct with valid ID, existing metadata will be fetched if not present\n// - key: Metadata key to set\n// - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n// - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n// - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n// - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n// 1. If searchterm is numeric, treat as job ID (returned immediately)\n// 2. Try exact match in job.hpc_user column (username)\n// 3. Try LIKE match in hpc_user.name column (real name)\n// 4. Try exact match in job.project column (project ID)\n// 5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n// - user: Authenticated user context, required for database access\n// - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - searchterm: Value to search for (exact match or LIKE pattern)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n// - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - query: Search pattern (always uses LIKE with wildcards)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n// - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n// - monitoring_status: MonitoringStatusArchivingFailed\n// - duration: 0\n// - job_state: JobStateFailed\n//\n// Parameters:\n// - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n// - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n// - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n// - startTimeEnd: Unix timestamp for range end\n// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n// - job: Database ID of the job to update\n// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n// - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n// - stmt: Existing UpdateBuilder to modify\n// - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n// - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t// / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster string\n\t\trawResources []byte\n\t\tresources []*schema.Resource\n\t\tskippedRows int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range 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583→ 583→// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n 584→ 584→// Similar to FindColumnValue but returns all matching values instead of just the first.\n 585→ 585→// Only users with admin, support, or manager roles can execute this query.\n 586→ 586→//\n 587→ 587→// Parameters:\n 588→ 588→// - user: User context for authorization check\n 589→ 589→// - query: Search pattern (always uses LIKE with wildcards)\n 590→ 590→// - table: Database table name to query\n 591→ 591→// - selectColumn: Column name to return in results\n 592→ 592→// - whereColumn: Column name to filter on\n 593→ 593→//\n 594→ 594→// Returns a slice of matching values, ErrForbidden if user lacks permission,\n 595→ 595→// or ErrNotFound if no matches are found.\n 596→ 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→ 597→\tif user == nil {\n 598→ 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→ 599→\t}\n 600→ 600→\n 601→ 601→\temptyResult := make([]string, 0)\n 602→ 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→ 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→ 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→ 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→ 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→ 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→ 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→ 609→\t\t} else if err == nil {\n 610→ 610→\t\t\tdefer rows.Close()\n 611→ 611→\t\t\tfor rows.Next() {\n 612→ 612→\t\t\t\tvar result string\n 613→ 613→\t\t\t\terr := rows.Scan(&result)\n 614→ 614→\t\t\t\tif err != nil {\n 615→ 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→ 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→ 617→\t\t\t\t}\n 618→ 618→\t\t\t\tresults = append(results, result)\n 619→ 619→\t\t\t}\n 620→ 620→\t\t\treturn results, nil\n 621→ 621→\t\t}\n 622→ 622→\t\treturn emptyResult, ErrNotFound\n 623→ 623→\n 624→ 624→\t} else {\n 625→ 625→\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n 626→ 626→\t\treturn emptyResult, ErrForbidden\n 627→ 627→\t}\n 628→ 628→}\n 629→ 629→\n 630→ 630→// Partitions returns a list of distinct cluster partitions for a given cluster.\n 631→ 631→// Results are cached with a 1-hour TTL to improve performance.\n 632→ 632→//\n 633→ 633→// Parameters:\n 634→ 634→// - cluster: Cluster name to query partitions for\n 635→ 635→//\n 636→ 636→// Returns a slice of partition names or an error if the database query fails.\n 637→ 637→func (r *JobRepository) Partitions(cluster string) ([]string, error) {\n 638→ 638→\tvar err error\n 639→ 639→\tstart := time.Now()\n 640→ 640→\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n 641→ 641→\t\tparts := []string{}\n 642→ 642→\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n 643→ 643→\t\t\treturn nil, 0, 1000\n 644→ 644→\t\t}\n 645→ 645→\n 646→ 646→\t\treturn parts, 1 * time.Hour, 1\n 647→ 647→\t})\n 648→ 648→\tif err != nil {\n 649→ 649→\t\treturn nil, err\n 650→ 650→\t}\n 651→ 651→\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n 652→ 652→\treturn partitions.([]string), nil\n 653→ 653→}\n 654→ 654→\n 655→ 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→ 656→// Hosts with zero jobs running on them will not show up!\n 657→ 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→ 658→\tstart := time.Now()\n 659→ 659→\tsubclusters := make(map[string]map[string]int)\n 660→ 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→ 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→ 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→ 663→\t\tRunWith(r.stmtCache).Query()\n 664→ 664→\tif err != nil {\n 665→ 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→ 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→ 667→\t}\n 668→ 668→\n 669→ 669→\tvar raw []byte\n 670→ 670→\tdefer rows.Close()\n 671→ 671→\tfor rows.Next() {\n 672→ 672→\t\traw = raw[0:0]\n 673→ 673→\t\tvar resources []*schema.Resource\n 674→ 674→\t\tvar subcluster string\n 675→ 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→ 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→ 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→ 678→\t\t}\n 679→ 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→ 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→ 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→ 682→\t\t}\n 683→ 683→\n 684→ 684→\t\thosts, ok := subclusters[subcluster]\n 685→ 685→\t\tif !ok {\n 686→ 686→\t\t\thosts = make(map[string]int)\n 687→ 687→\t\t\tsubclusters[subcluster] = hosts\n 688→ 688→\t\t}\n 689→ 689→\n 690→ 690→\t\tfor _, resource := range resources {\n 691→ 691→\t\t\thosts[resource.Hostname] += 1\n 692→ 692→\t\t}\n 693→ 693→\t}\n 694→ 694→\n 695→ 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→ 696→\treturn subclusters, nil\n 697→ 697→}\n 698→ 698→\n 699→ 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→ 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→ 701→//\n 702→ 702→// Jobs are marked with:\n 703→ 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→ 704→// - duration: 0\n 705→ 705→// - job_state: JobStateFailed\n 706→ 706→//\n 707→ 707→// Parameters:\n 708→ 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→ 709→//\n 710→ 710→// Returns an error if the database update fails.\n 711→ 711→// Logs the number of jobs marked as failed if any were affected.\n 712→ 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→ 713→\tstart := time.Now()\n 714→ 714→\tcurrentTime := time.Now().Unix()\n 715→ 715→\tres, err := sq.Update(\"job\").\n 716→ 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→ 717→\t\tSet(\"duration\", 0).\n 718→ 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→ 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→ 720→\t\tWhere(\"job.walltime > 0\").\n 721→ 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→ 722→\t\tRunWith(r.DB).Exec()\n 723→ 723→\tif err != nil {\n 724→ 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→ 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→ 726→\t}\n 727→ 727→\n 728→ 728→\trowsAffected, err := res.RowsAffected()\n 729→ 729→\tif err != nil {\n 730→ 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→ 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→ 732→\t}\n 733→ 733→\n 734→ 734→\tif rowsAffected > 0 {\n 735→ 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→ 736→\t}\n 737→ 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→ 738→\treturn nil\n 739→ 739→}\n 740→ 740→\n 741→ 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→ 742→//\n 743→ 743→// Parameters:\n 744→ 744→// - tagID: Database ID of the tag to search for\n 745→ 745→//\n 746→ 746→// Returns a slice of job IDs or an error if the query fails.\n 747→ 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→ 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→ 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→ 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→ 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→ 752→\tif err != nil {\n 753→ 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→ 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→ 755→\t}\n 756→ 756→\tdefer rows.Close()\n 757→ 757→\n 758→ 758→\tjobIds := make([]int64, 0, 100)\n 759→ 759→\n 760→ 760→\tfor rows.Next() {\n 761→ 761→\t\tvar jobID int64\n 762→ 762→\n 763→ 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→ 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→ 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→ 766→\t\t}\n 767→ 767→\n 768→ 768→\t\tjobIds = append(jobIds, jobID)\n 769→ 769→\t}\n 770→ 770→\n 771→ 771→\treturn jobIds, nil\n 772→ 772→}\n 773→ 773→\n 774→ 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→ 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→ 776→//\n 777→ 777→// Parameters:\n 778→ 778→// - cluster: Cluster name to filter jobs\n 779→ 779→//"}]},"uuid":"28e90906-92af-4bda-8e4b-87740b48db1a","timestamp":"2026-03-11T04:17:28.707Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_019eLTNpQUeQPCzxYPeZZjdg.txt","content":" 580→\t}\n 581→}\n 582→\n 583→// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n 584→// Similar to FindColumnValue but returns all matching values instead of just the first.\n 585→// Only users with admin, support, or manager roles can execute this query.\n 586→//\n 587→// Parameters:\n 588→// - user: User context for authorization check\n 589→// - query: Search pattern (always uses LIKE with wildcards)\n 590→// - table: Database table name to query\n 591→// - selectColumn: Column name to return in results\n 592→// - whereColumn: Column name to filter on\n 593→//\n 594→// Returns a slice of matching values, ErrForbidden if user lacks permission,\n 595→// or ErrNotFound if no matches are found.\n 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→\tif user == nil {\n 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→\t}\n 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}\n 620→\t\t\treturn results, nil\n 621→\t\t}\n 622→\t\treturn emptyResult, ErrNotFound\n 623→\n 624→\t} else {\n 625→\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n 626→\t\treturn emptyResult, ErrForbidden\n 627→\t}\n 628→}\n 629→\n 630→// Partitions returns a list of distinct cluster partitions for a given cluster.\n 631→// Results are cached with a 1-hour TTL to improve performance.\n 632→//\n 633→// Parameters:\n 634→// - cluster: Cluster name to query partitions for\n 635→//\n 636→// Returns a slice of partition names or an error if the database query fails.\n 637→func (r *JobRepository) Partitions(cluster string) ([]string, error) {\n 638→\tvar err error\n 639→\tstart := time.Now()\n 640→\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n 641→\t\tparts := []string{}\n 642→\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n 643→\t\t\treturn nil, 0, 1000\n 644→\t\t}\n 645→\n 646→\t\treturn parts, 1 * time.Hour, 1\n 647→\t})\n 648→\tif err != nil {\n 649→\t\treturn nil, err\n 650→\t}\n 651→\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n 652→\treturn partitions.([]string), nil\n 653→}\n 654→\n 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→// Hosts with zero jobs running on them will not show up!\n 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→\tstart := time.Now()\n 659→\tsubclusters := make(map[string]map[string]int)\n 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]\n 685→\t\tif !ok {\n 686→\t\t\thosts = make(map[string]int)\n 687→\t\t\tsubclusters[subcluster] = hosts\n 688→\t\t}\n 689→\n 690→\t\tfor _, resource := range resources {\n 691→\t\t\thosts[resource.Hostname] += 1\n 692→\t\t}\n 693→\t}\n 694→\n 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→\treturn subclusters, nil\n 697→}\n 698→\n 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//","numLines":200,"startLine":580,"totalLines":1137}},"sourceToolAssistantUUID":"df63d00e-6ec8-4889-b4e2-ade5936b6bc1"} 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currently running jobs for a specific cluster.\n 775→ 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→ 776→//\n 777→ 777→// Parameters:\n 778→ 778→// - cluster: Cluster name to filter jobs\n 779→ 779→//\n 780→ 780→// Returns a slice of running job objects or an error if the query fails.\n 781→ 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→ 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→ 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→ 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→ 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→ 786→\n 787→ 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→ 788→\tif err != nil {\n 789→ 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→ 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→ 791→\t}\n 792→ 792→\tdefer rows.Close()\n 793→ 793→\n 794→ 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→ 795→\tfor rows.Next() {\n 796→ 796→\t\tjob, err := scanJob(rows)\n 797→ 797→\t\tif err != nil {\n 798→ 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→ 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→ 800→\t\t}\n 801→ 801→\t\tjobs = append(jobs, job)\n 802→ 802→\t}\n 803→ 803→\n 804→ 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→ 805→\treturn jobs, nil\n 806→ 806→}\n 807→ 807→\n 808→ 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→ 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→ 810→//\n 811→ 811→// Duration is calculated as: current_time - job.start_time\n 812→ 812→//\n 813→ 813→// Returns an error if the database update fails.\n 814→ 814→func (r *JobRepository) UpdateDuration() error {\n 815→ 815→\tstmnt := sq.Update(\"job\").\n 816→ 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→ 817→\t\tWhere(\"job_state = 'running'\")\n 818→ 818→\n 819→ 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→ 820→\tif err != nil {\n 821→ 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→ 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→ 823→\t}\n 824→ 824→\n 825→ 825→\treturn nil\n 826→ 826→}\n 827→ 827→\n 828→ 828→// FindJobsBetween returns jobs within a specified time range.\n 829→ 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→ 830→// Optionally excludes tagged jobs from results.\n 831→ 831→//\n 832→ 832→// Parameters:\n 833→ 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→ 834→// - startTimeEnd: Unix timestamp for range end\n 835→ 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→ 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→ 837→//\n 838→ 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→ 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→ 840→\tvar query sq.SelectBuilder\n 841→ 841→\n 842→ 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→ 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→ 844→\t}\n 845→ 845→\n 846→ 846→\tif startTimeBegin == 0 {\n 847→ 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→ 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→ 849→\t} else {\n 850→ 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→ 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→ 852→\t}\n 853→ 853→\n 854→ 854→\tswitch omitTagged {\n 855→ 855→\tcase \"all\":\n 856→ 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→ 857→\tcase \"user\":\n 858→ 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→ 859→\t}\n 860→ 860→\n 861→ 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→ 862→\n 863→ 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→ 864→\tif err != nil {\n 865→ 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→ 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→ 867→\t}\n 868→ 868→\tdefer rows.Close()\n 869→ 869→\n 870→ 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→ 871→\tfor rows.Next() {\n 872→ 872→\t\tjob, err := scanJob(rows)\n 873→ 873→\t\tif err != nil {\n 874→ 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→ 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→ 876→\t\t}\n 877→ 877→\t\tjobs = append(jobs, job)\n 878→ 878→\t}\n 879→ 879→\n 880→ 880→\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n 881→ 881→\treturn jobs, nil\n 882→ 882→}\n 883→ 883→\n 884→ 884→// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n 885→ 885→// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n 886→ 886→//\n 887→ 887→// Parameters:\n 888→ 888→// - job: Database ID of the job to update\n 889→ 889→// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n 890→ 890→//\n 891→ 891→// Returns an error if the database update fails.\n 892→ 892→func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n 893→ 893→\t// Invalidate cache entries as monitoring status affects job state\n 894→ 894→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n 895→ 895→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n 896→ 896→\n 897→ 897→\tstmt := sq.Update(\"job\").\n 898→ 898→\t\tSet(\"monitoring_status\", monitoringStatus).\n 899→ 899→\t\tWhere(\"job.id = ?\", job)\n 900→ 900→\n 901→ 901→\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 902→ 902→\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n 903→ 903→\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n 904→ 904→\t}\n 905→ 905→\treturn nil\n 906→ 906→}\n 907→ 907→\n 908→ 908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n 909→ 909→// This is a generic helper for executing pre-built update queries.\n 910→ 910→//\n 911→ 911→// Parameters:\n 912→ 912→// - stmt: Squirrel UpdateBuilder with prepared update query\n 913→ 913→//\n 914→ 914→// Returns an error if the execution fails.\n 915→ 915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n 916→ 916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 917→ 917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n 918→ 918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n 919→ 919→\t}\n 920→ 920→\n 921→ 921→\treturn nil\n 922→ 922→}\n 923→ 923→\n 924→ 924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n 925→ 925→// This is a builder helper used when constructing multi-field update queries.\n 926→ 926→//\n 927→ 927→// Parameters:\n 928→ 928→// - stmt: Existing UpdateBuilder to modify\n 929→ 929→// - monitoringStatus: Monitoring status value to set\n 930→ 930→//\n 931→ 931→// Returns the modified UpdateBuilder for method chaining.\n 932→ 932→func (r *JobRepository) MarkArchived(\n 933→ 933→\tstmt sq.UpdateBuilder,\n 934→ 934→\tmonitoringStatus int32,\n 935→ 935→) sq.UpdateBuilder {\n 936→ 936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n 937→ 937→}\n 938→ 938→\n 939→ 939→// UpdateEnergy calculates and updates the energy consumption for a job.\n 940→ 940→// This is called for running jobs during intermediate updates or when archiving.\n 941→ 941→//\n 942→ 942→// Energy calculation formula:\n 943→ 943→// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n 944→ 944→// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n 945→ 945→//\n 946→ 946→// The calculation accounts for:\n 947→ 947→// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n 948→ 948→// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n 949→ 949→// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n 950→ 950→// - Rounding: Results rounded to 2 decimal places\n 951→ 951→func (r *JobRepository) UpdateEnergy(\n 952→ 952→\tstmt sq.UpdateBuilder,\n 953→ 953→\tjobMeta *schema.Job,\n 954→ 954→) (sq.UpdateBuilder, error) {\n 955→ 955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n 956→ 956→\tif err != nil {\n 957→ 957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 958→ 958→\t\treturn stmt, err\n 959→ 959→\t}\n 960→ 960→\tenergyFootprint := make(map[string]float64)\n 961→ 961→\n 962→ 962→\t// Accumulate total energy across all energy-related metrics\n 963→ 963→\ttotalEnergy := 0.0\n 964→ 964→\tfor _, fp := range sc.EnergyFootprint {\n 965→ 965→\t\t// Calculate energy for this specific metric\n 966→ 966→\t\tmetricEnergy := 0.0\n 967→ 967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n 968→ 968→\t\t\tswitch sc.MetricConfig[i].Energy {\n 969→ 969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n 970→ 970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n 971→ 971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n 972→ 972→\t\t\tcase \"power\": // Metric in power units (Watts)\n 973→ 973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000"}]},"uuid":"25fd726c-b1a8-485a-8cb5-8cba0159b690","timestamp":"2026-03-11T04:17:34.627Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_019eLTNpQUeQPCzxYPeZZjdg.txt","content":" 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {\n 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n 881→\treturn jobs, nil\n 882→}\n 883→\n 884→// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n 885→// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n 886→//\n 887→// Parameters:\n 888→// - job: Database ID of the job to update\n 889→// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n 890→//\n 891→// Returns an error if the database update fails.\n 892→func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n 893→\t// Invalidate cache entries as monitoring status affects job state\n 894→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n 895→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n 896→\n 897→\tstmt := sq.Update(\"job\").\n 898→\t\tSet(\"monitoring_status\", monitoringStatus).\n 899→\t\tWhere(\"job.id = ?\", job)\n 900→\n 901→\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 902→\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n 903→\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n 904→\t}\n 905→\treturn nil\n 906→}\n 907→\n 908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n 909→// This is a generic helper for executing pre-built update queries.\n 910→//\n 911→// Parameters:\n 912→// - stmt: Squirrel UpdateBuilder with prepared update query\n 913→//\n 914→// Returns an error if the execution fails.\n 915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n 916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n 918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n 919→\t}\n 920→\n 921→\treturn nil\n 922→}\n 923→\n 924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n 925→// This is a builder helper used when constructing multi-field update queries.\n 926→//\n 927→// Parameters:\n 928→// - stmt: Existing UpdateBuilder to modify\n 929→// - monitoringStatus: Monitoring status value to set\n 930→//\n 931→// Returns the modified UpdateBuilder for method chaining.\n 932→func (r *JobRepository) MarkArchived(\n 933→\tstmt sq.UpdateBuilder,\n 934→\tmonitoringStatus int32,\n 935→) sq.UpdateBuilder {\n 936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n 937→}\n 938→\n 939→// UpdateEnergy calculates and updates the energy consumption for a job.\n 940→// This is called for running jobs during intermediate updates or when archiving.\n 941→//\n 942→// Energy calculation formula:\n 943→// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n 944→// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n 945→//\n 946→// The calculation accounts for:\n 947→// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n 948→// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n 949→// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n 950→// - Rounding: Results rounded to 2 decimal places\n 951→func (r *JobRepository) UpdateEnergy(\n 952→\tstmt sq.UpdateBuilder,\n 953→\tjobMeta *schema.Job,\n 954→) (sq.UpdateBuilder, error) {\n 955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n 956→\tif err != nil {\n 957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 958→\t\treturn stmt, err\n 959→\t}\n 960→\tenergyFootprint := make(map[string]float64)\n 961→\n 962→\t// Accumulate total energy across all energy-related metrics\n 963→\ttotalEnergy := 0.0\n 964→\tfor _, fp := range sc.EnergyFootprint {\n 965→\t\t// Calculate energy for this specific metric\n 966→\t\tmetricEnergy := 0.0\n 967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n 968→\t\t\tswitch sc.MetricConfig[i].Energy {\n 969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n 970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n 971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n 972→\t\t\tcase \"power\": // Metric in power units (Watts)\n 973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000","numLines":200,"startLine":774,"totalLines":1137}},"sourceToolAssistantUUID":"6987a906-27e1-4940-8c24-6da070103a3e"} 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Let me check one more thing."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":181,"cache_read_input_tokens":105447,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":181},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveZWnd7JqzCzVD4B4WR","type":"assistant","uuid":"64ef27b8-f1df-4fda-9657-61cc0e992cdf","timestamp":"2026-03-11T04:19:18.267Z"} +{"parentUuid":"64ef27b8-f1df-4fda-9657-61cc0e992cdf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Emyt2jFkjbPEdHwsDnrq1K","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MvhoizsEwBWPEoVVLWAT6U","name":"Bash","input":{"command":"sqlite3 ./var/job.db \"EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed', 'running', 'failed') ORDER BY job.start_time DESC LIMIT 50 OFFSET 0;\" && echo \"---\" && sqlite3 ./var/job.db \"EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state = 'completed' ORDER BY job.start_time DESC LIMIT 50;\" && echo \"---\" && sqlite3 ./var/job.db \"EXPLAIN QUERY PLAN SELECT * FROM job ORDER BY job.start_time DESC LIMIT 50;\" && echo \"---\" && sqlite3 ./var/job.db \"SELECT COUNT(*) FROM job;\" && echo \"---\" && sqlite3 ./var/job.db \"SELECT job_state, COUNT(*) FROM job GROUP BY job_state;\"","description":"Compare query plans and get table 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INDEX jobs_jobstate_energy (job_state=?)\n`--USE TEMP B-TREE FOR ORDER BY\n---\nQUERY PLAN\n`--SEARCH job USING INDEX jobs_jobstate_starttime_duration (job_state=?)\n---\nQUERY PLAN\n`--SCAN job USING INDEX jobs_starttime\n---\n544\n---\ncompleted|544","is_error":false}]},"uuid":"3886b99a-4b84-4045-a0f2-8fbfae74731e","timestamp":"2026-03-11T04:19:33.355Z","toolUseResult":{"stdout":"QUERY PLAN\n|--SEARCH job USING INDEX jobs_jobstate_energy (job_state=?)\n`--USE TEMP B-TREE FOR ORDER BY\n---\nQUERY PLAN\n`--SEARCH job USING INDEX jobs_jobstate_starttime_duration (job_state=?)\n---\nQUERY PLAN\n`--SCAN job USING INDEX jobs_starttime\n---\n544\n---\ncompleted|544","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ee472aab-ba61-41e5-aee9-6ec2c737350f"} 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Let me also check the migration that was supposed to create `jobs_jobstate_starttime`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":109480,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":125},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvehLdfCUr6c2WscNuYK","type":"assistant","uuid":"6d92e78d-dc07-4c33-93bc-aac1ead8c970","timestamp":"2026-03-11T04:20:03.368Z"} 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INTEGER PRIMARY KEY,\n 3→ job_id BIGINT NOT NULL,\n 4→ cluster VARCHAR(255) NOT NULL,\n 5→ subcluster VARCHAR(255) NOT NULL,\n 6→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 7→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 8→ hpc_user VARCHAR(255) NOT NULL,\n 9→ project VARCHAR(255) NOT NULL,\n 10→ cluster_partition VARCHAR(255),\n 11→ array_job_id BIGINT,\n 12→ duration INT NOT NULL,\n 13→ walltime INT NOT NULL,\n 14→ job_state VARCHAR(255) NOT NULL\n 15→ CHECK (job_state IN (\n 16→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 17→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 18→ 'preempted', 'running', 'suspended', 'timeout'\n 19→ )),\n 20→ meta_data TEXT, -- JSON\n 21→ resources TEXT NOT NULL, -- JSON\n 22→ num_nodes INT NOT NULL,\n 23→ num_hwthreads INT,\n 24→ num_acc INT,\n 25→ smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n 26→ shared TEXT NOT NULL\n 27→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 28→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 29→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 30→ energy REAL NOT NULL DEFAULT 0.0,"}]},"uuid":"377b78f8-be51-4d18-b5c9-06fe6ee73e36","timestamp":"2026-03-11T04:20:04.599Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql","content":"CREATE TABLE \"job_cache\" (\n id INTEGER PRIMARY KEY,\n job_id BIGINT NOT NULL,\n cluster VARCHAR(255) NOT NULL,\n subcluster VARCHAR(255) NOT NULL,\n submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n hpc_user VARCHAR(255) NOT NULL,\n project VARCHAR(255) NOT NULL,\n cluster_partition VARCHAR(255),\n array_job_id BIGINT,\n duration INT NOT NULL,\n walltime INT NOT NULL,\n job_state VARCHAR(255) NOT NULL\n CHECK (job_state IN (\n 'boot_fail', 'cancelled', 'completed', 'deadline',\n 'failed', 'node_fail', 'out_of_memory', 'pending',\n 'preempted', 'running', 'suspended', 'timeout'\n )),\n meta_data TEXT, -- JSON\n resources TEXT NOT NULL, -- JSON\n num_nodes INT NOT NULL,\n num_hwthreads INT,\n num_acc INT,\n smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n shared TEXT NOT NULL\n CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n monitoring_status TINYINT NOT NULL DEFAULT 1\n CHECK (monitoring_status IN (0, 1, 2, 3)),\n energy REAL NOT NULL DEFAULT 0.0,","numLines":30,"startLine":1,"totalLines":259}},"sourceToolAssistantUUID":"fb597151-9e04-4c97-821a-491d32febc21"} 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+{"parentUuid":"4835d5f4-ade5-4498-bcd5-1bfba8c66cf0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UkY2icGb9e9HzjWQLBQcYu","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the complete picture. Here are my findings:\n\n## Root Cause Analysis\n\n### 1. Missing `defer rows.Close()` in `user.go:GetLdapUsernames()` — real leak"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3159,"cache_read_input_tokens":110646,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3159},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveiszL7hPg7zMnuGSTB","type":"assistant","uuid":"56b79551-3fe5-43b9-af27-331e1e199eae","timestamp":"2026-03-11T04:20:43.467Z"} +{"parentUuid":"56b79551-3fe5-43b9-af27-331e1e199eae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UkY2icGb9e9HzjWQLBQcYu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TWGpD2mGBGcafSwzNJjkA7","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","old_string":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {","new_string":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3159,"cache_read_input_tokens":110646,"output_tokens":1143,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3159,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveiszL7hPg7zMnuGSTB","type":"assistant","uuid":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","timestamp":"2026-03-11T04:20:46.616Z"} +{"type":"file-history-snapshot","messageId":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","snapshot":{"messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v2","version":2,"backupTime":"2026-03-11T04:13:22.586Z"},"internal/repository/user.go":{"backupFileName":"9be0bb0148476b49@v1","version":1,"backupTime":"2026-03-11T04:20:46.639Z"}},"timestamp":"2026-03-11T04:13:22.585Z"},"isSnapshotUpdate":true} +{"parentUuid":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TWGpD2mGBGcafSwzNJjkA7","toolUseID":"toolu_01TWGpD2mGBGcafSwzNJjkA7","timestamp":"2026-03-11T04:20:46.642Z","uuid":"38934853-9213-4a90-b90a-4b52f03dea9e"} +{"parentUuid":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TWGpD2mGBGcafSwzNJjkA7","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"49c5ce62-8540-410b-bec5-bf363b24913c","timestamp":"2026-03-11T04:20:46.642Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","oldString":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {","newString":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {","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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":6,"newStart":102,"newLines":7,"lines":[" cclog.Warn(\"Error while querying usernames\")"," return nil, err"," }","+ defer rows.Close()"," "," for rows.Next() {"," var username string"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b"} +{"parentUuid":"49c5ce62-8540-410b-bec5-bf363b24913c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XdXajSNPYaoqXP3WKGUxoF","type":"message","role":"assistant","content":[{"type":"text","text":"### 2. Why the index isn't used — two separate problems\n\n**Problem A: No ANALYZE statistics.** `sqlite_stat1` has zero rows for the `job` table. Without statistics, SQLite guesses row counts and picks `jobs_jobstate_energy` over the better `jobs_jobstate_starttime_duration`. Let me verify:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1306,"cache_read_input_tokens":113805,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1306},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvekiep7uxNJygWW7u29","type":"assistant","uuid":"5d2115a9-3889-4acc-9636-dae40ac4c75b","timestamp":"2026-03-11T04:20:50.876Z"} +{"parentUuid":"5d2115a9-3889-4acc-9636-dae40ac4c75b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XdXajSNPYaoqXP3WKGUxoF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01La4ag1Qw4zzBSti84xPVU6","name":"Bash","input":{"command":"sqlite3 ./var/job.db \"ANALYZE; EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed', 'running', 'failed') ORDER BY job.start_time DESC LIMIT 1 OFFSET 10;\"","description":"Check query plan AFTER running ANALYZE"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1306,"cache_read_input_tokens":113805,"output_tokens":213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1306,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvekiep7uxNJygWW7u29","type":"assistant","uuid":"998950d3-3a0a-4da0-9ae1-dd2c2fc678a7","timestamp":"2026-03-11T04:20:52.373Z"} +{"parentUuid":"998950d3-3a0a-4da0-9ae1-dd2c2fc678a7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01La4ag1Qw4zzBSti84xPVU6","type":"tool_result","content":"QUERY PLAN\n`--SCAN job USING INDEX jobs_starttime","is_error":false}]},"uuid":"60c3568e-3d81-48ae-a562-651d2b3c8c78","timestamp":"2026-03-11T04:21:09.811Z","toolUseResult":{"stdout":"QUERY PLAN\n`--SCAN job USING INDEX jobs_starttime","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"998950d3-3a0a-4da0-9ae1-dd2c2fc678a7"} +{"parentUuid":"60c3568e-3d81-48ae-a562-651d2b3c8c78","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PoLWq6WULHeQX2FHpEV9b6","type":"message","role":"assistant","content":[{"type":"text","text":"After `ANALYZE`, SQLite switches to scanning `jobs_starttime` in reverse — **no temp B-tree sort**, no materializing all rows. This is the optimal plan: walk `start_time DESC`, check state filter per row, stop after LIMIT+OFFSET matches.\n\n**Problem B: `IN` with multiple values prevents composite index sort.** Even with the right index `(job_state, start_time)`, an `IN` clause with 3 values forces SQLite to merge 3 index ranges, requiring a temp sort. But with ANALYZE, SQLite is smart enough to realize the states cover most rows and uses the `start_time`-only index instead — avoiding the sort entirely.\n\n### 3. Missing `jobs_jobstate_starttime` index\n\nMigration 08 created `jobs_jobstate_starttime ON (job_state, start_time)` but it's **missing from the actual database** — only `jobs_jobstate_starttime_duration` (3-column version from migration 09) exists. This is suspicious but less important now that ANALYZE resolves the planner issue.\n\n### Fix: Run ANALYZE on startup\n\nLet me find where the DB is initialized to add an ANALYZE call."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":242,"cache_read_input_tokens":115111,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":242},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvenRV1324SdqBgEGWiX","type":"assistant","uuid":"5e622b81-7800-475e-9b4f-b9371a0eae42","timestamp":"2026-03-11T04:21:19.367Z"} +{"parentUuid":"5e622b81-7800-475e-9b4f-b9371a0eae42","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PoLWq6WULHeQX2FHpEV9b6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0139WDxEfevH8R5FEysdxFtQ","name":"Grep","input":{"pattern":"func Connect|func.*MigrateDB|func.*checkDBVersion\"","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":242,"cache_read_input_tokens":115111,"output_tokens":394,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":242,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvenRV1324SdqBgEGWiX","type":"assistant","uuid":"60adb311-c038-41fa-ab2b-8c3802a8b4fd","timestamp":"2026-03-11T04:21:20.418Z"} +{"parentUuid":"60adb311-c038-41fa-ab2b-8c3802a8b4fd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_0139WDxEfevH8R5FEysdxFtQ","toolUseID":"toolu_0139WDxEfevH8R5FEysdxFtQ","timestamp":"2026-03-11T04:21:20.443Z","uuid":"2ac205e8-bc20-48bf-9c65-37d7b73c91d2"} +{"parentUuid":"60adb311-c038-41fa-ab2b-8c3802a8b4fd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0139WDxEfevH8R5FEysdxFtQ","type":"tool_result","content":"internal/repository/migration.go:112:func MigrateDB(db string) error {\ninternal/repository/dbConnection.go:54:func Connect(db string) {"}]},"uuid":"02014fd8-2289-4ed8-8222-7bdae2812ad4","timestamp":"2026-03-11T04:21:20.443Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/migration.go:112:func MigrateDB(db string) error {\ninternal/repository/dbConnection.go:54:func Connect(db string) {","numLines":2},"sourceToolAssistantUUID":"60adb311-c038-41fa-ab2b-8c3802a8b4fd"} +{"parentUuid":"02014fd8-2289-4ed8-8222-7bdae2812ad4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_014BkfGHAx9eDHVbQnR9jYdE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":447,"cache_read_input_tokens":115353,"output_tokens":73,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":447,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveoD1BpZvm4SKjXdzeq","type":"assistant","uuid":"9e596379-0836-4817-9c4f-886a4b2730cb","timestamp":"2026-03-11T04:21:23.375Z"} +{"parentUuid":"9e596379-0836-4817-9c4f-886a4b2730cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","toolUseID":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","timestamp":"2026-03-11T04:21:23.385Z","uuid":"f92ffdf9-e865-4cb8-b4b4-f96f396387ea"} +{"parentUuid":"9e596379-0836-4817-9c4f-886a4b2730cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 10: Current version\n 25→//\n 26→// Migration files are embedded at build time from the migrations directory.\n 27→const Version uint = 10\n 28→\n 29→//go:embed migrations/*\n 30→var migrationFiles embed.FS\n 31→\n 32→// checkDBVersion verifies that the database schema version matches the expected version.\n 33→// This is called automatically during Connect() to ensure schema compatibility.\n 34→//\n 35→// Returns an error if:\n 36→// - Database version is older than expected (needs migration)\n 37→// - Database version is newer than expected (needs app upgrade)\n 38→// - Database is in a dirty state (failed migration)\n 39→//\n 40→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 41→// This requires manual intervention to fix the database and force the version.\n 42→func checkDBVersion(db *sql.DB) error {\n 43→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 44→\tif err != nil {\n 45→\t\treturn err\n 46→\t}\n 47→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 48→\tif err != nil {\n 49→\t\treturn err\n 50→\t}\n 51→\n 52→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 53→\tif err != nil {\n 54→\t\treturn err\n 55→\t}\n 56→\n 57→\tv, dirty, err := m.Version()\n 58→\tif err != nil {\n 59→\t\tif err == migrate.ErrNilVersion {\n 60→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 61→\t\t} else {\n 62→\t\t\treturn err\n 63→\t\t}\n 64→\t}\n 65→\n 66→\tif v < Version {\n 67→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 68→\t} else if v > Version {\n 69→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 70→\t}\n 71→\n 72→\tif dirty {\n 73→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 74→\t}\n 75→\n 76→\treturn nil\n 77→}\n 78→\n 79→// getMigrateInstance creates a new migration instance for the given database file.\n 80→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 81→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 82→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 83→\tif err != nil {\n 84→\t\treturn nil, err\n 85→\t}\n 86→\n 87→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 88→\tif err != nil {\n 89→\t\treturn nil, err\n 90→\t}\n 91→\n 92→\treturn m, nil\n 93→}\n 94→\n 95→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 96→// This should be run with the -migrate-db flag before starting the application\n 97→// after upgrading to a new version that requires schema changes.\n 98→//\n 99→// Process:\n 100→// 1. Checks current database version\n 101→// 2. Applies all migrations from current version to target Version\n 102→// 3. Updates schema_migrations table to track applied migrations\n 103→//\n 104→// Important:\n 105→// - Always backup your database before running migrations\n 106→// - Migrations are irreversible without manual intervention\n 107→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 108→//\n 109→// Usage:\n 110→//\n 111→//\tcc-backend -migrate-db\n 112→func MigrateDB(db string) error {\n 113→\tm, err := getMigrateInstance(db)\n 114→\tif err != nil {\n 115→\t\treturn err\n 116→\t}\n 117→\n 118→\tv, dirty, err := m.Version()\n 119→\tif err != nil {\n 120→\t\tif err == migrate.ErrNilVersion {\n 121→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 122→\t\t} else {\n 123→\t\t\treturn err\n 124→\t\t}\n 125→\t}\n 126→\n 127→\tif v < Version {\n 128→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 129→\t}\n 130→\n 131→\tif dirty {\n 132→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 133→\t}\n 134→\n 135→\tif err := m.Up(); err != nil {\n 136→\t\tif err == migrate.ErrNoChange {\n 137→\t\t\tcclog.Info(\"DB already up to date!\")\n 138→\t\t} else {\n 139→\t\t\treturn err\n 140→\t\t}\n 141→\t}\n 142→\n 143→\tm.Close()\n 144→\treturn nil\n 145→}\n 146→\n 147→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 148→// This is primarily used for testing or emergency rollback scenarios.\n 149→//\n 150→// Warning:\n 151→// - This may cause data loss if newer schema added columns/tables\n 152→// - Always backup before reverting\n 153→// - Not all migrations are safely reversible\n 154→//\n 155→// Usage:\n 156→//\n 157→//\tcc-backend -revert-db\n 158→func RevertDB(db string) error {\n 159→\tm, err := getMigrateInstance(db)\n 160→\tif err != nil {\n 161→\t\treturn err\n 162→\t}\n 163→\n 164→\tif err := m.Migrate(Version - 1); err != nil {\n 165→\t\tif err == migrate.ErrNoChange {\n 166→\t\t\tcclog.Info(\"DB already up to date!\")\n 167→\t\t} else {\n 168→\t\t\treturn err\n 169→\t\t}\n 170→\t}\n 171→\n 172→\tm.Close()\n 173→\treturn nil\n 174→}\n 175→\n 176→// ForceDB forces the database schema version to the current Version without running migrations.\n 177→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 178→//\n 179→// When to use:\n 180→// - After manually fixing a failed migration\n 181→// - When you've manually applied schema changes and need to update the version marker\n 182→//\n 183→// Warning:\n 184→// - This does NOT apply any schema changes\n 185→// - Only use after manually verifying the schema is correct\n 186→// - Improper use can cause schema/version mismatch\n 187→//\n 188→// Usage:\n 189→//\n 190→//\tcc-backend -force-db\n 191→func ForceDB(db string) error {\n 192→\tm, err := getMigrateInstance(db)\n 193→\tif err != nil {\n 194→\t\treturn err\n 195→\t}\n 196→\n 197→\tif err := m.Force(int(Version)); err != nil {\n 198→\t\treturn err\n 199→\t}\n 200→\n 201→\tm.Close()\n 202→\treturn nil\n 203→}\n 204→"}]},"uuid":"3c5c943d-2478-46a5-9e67-3df4e77dc84e","timestamp":"2026-03-11T04:21:23.385Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":204,"startLine":1,"totalLines":204}},"sourceToolAssistantUUID":"9e596379-0836-4817-9c4f-886a4b2730cb"} +{"parentUuid":"3c5c943d-2478-46a5-9e67-3df4e77dc84e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016WN6Po8ayU4BxMu1sEogBJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ETKZthZRBqVXtGvdmkmVQU","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2464,"cache_read_input_tokens":115800,"output_tokens":74,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2464,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveoRgRp2Zbq99k6nMDZ","type":"assistant","uuid":"3254d831-de5f-4b7a-a672-5dd272a973dc","timestamp":"2026-03-11T04:21:26.064Z"} +{"parentUuid":"3254d831-de5f-4b7a-a672-5dd272a973dc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ETKZthZRBqVXtGvdmkmVQU","toolUseID":"toolu_01ETKZthZRBqVXtGvdmkmVQU","timestamp":"2026-03-11T04:21:26.071Z","uuid":"9a9f51bd-14ed-493b-a710-e92d7169db40"} +{"parentUuid":"3254d831-de5f-4b7a-a672-5dd272a973dc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ETKZthZRBqVXtGvdmkmVQU","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t}\n 43→\n 44→\tfor _, pragma := range pragmas {\n 45→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 46→\t\tif err != nil {\n 47→\t\t\treturn err\n 48→\t\t}\n 49→\t}\n 50→\n 51→\treturn nil\n 52→}\n 53→\n 54→func Connect(db string) {\n 55→\tvar err error\n 56→\tvar dbHandle *sqlx.DB\n 57→\n 58→\tdbConnOnce.Do(func() {\n 59→\t\topts := DatabaseOptions{\n 60→\t\t\tURL: db,\n 61→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 62→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 63→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 64→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 65→\t\t}\n 66→\n 67→\t\t// TODO: Have separate DB handles for Writes and Reads\n 68→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 69→\t\tconnectionURLParams := make(url.Values)\n 70→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 71→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 72→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 73→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 74→\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n 75→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 76→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 77→\n 78→\t\tif cclog.Loglevel() == \"debug\" {\n 79→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 80→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 81→\t\t} else {\n 82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 83→\t\t}\n 84→\n 85→\t\tif err != nil {\n 86→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 87→\t\t}\n 88→\n 89→\t\terr = setupSqlite(dbHandle.DB)\n 90→\t\tif err != nil {\n 91→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 92→\t\t}\n 93→\n 94→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 95→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 96→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 97→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 98→\n 99→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 100→\t\terr = checkDBVersion(dbHandle.DB)\n 101→\t\tif err != nil {\n 102→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 103→\t\t}\n 104→\t})\n 105→}\n 106→\n 107→func GetConnection() *DBConnection {\n 108→\tif dbConnInstance == nil {\n 109→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 110→\t}\n 111→\n 112→\treturn dbConnInstance\n 113→}\n 114→\n 115→// ResetConnection closes the current database connection and resets the connection state.\n 116→// This function is intended for testing purposes only to allow test isolation.\n 117→func ResetConnection() error {\n 118→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 119→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 120→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 121→\t\t}\n 122→\t}\n 123→\n 124→\tdbConnInstance = nil\n 125→\tdbConnOnce = sync.Once{}\n 126→\tjobRepoInstance = nil\n 127→\tjobRepoOnce = sync.Once{}\n 128→\tnodeRepoInstance = nil\n 129→\tnodeRepoOnce = sync.Once{}\n 130→\tuserRepoInstance = nil\n 131→\tuserRepoOnce = sync.Once{}\n 132→\tuserCfgRepoInstance = nil\n 133→\tuserCfgRepoOnce = sync.Once{}\n 134→\n 135→\treturn nil\n 136→}\n 137→"}]},"uuid":"30c15f32-1a0b-410f-9e24-10e10f14fe1a","timestamp":"2026-03-11T04:21:26.071Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":137,"startLine":1,"totalLines":137}},"sourceToolAssistantUUID":"3254d831-de5f-4b7a-a672-5dd272a973dc"} +{"parentUuid":"30c15f32-1a0b-410f-9e24-10e10f14fe1a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Tss1QXswuKpg8rWmfKfz5x","type":"message","role":"assistant","content":[{"type":"text","text":"The right place to add ANALYZE is in `setupSqlite`, which runs once on connection. But ANALYZE on a large DB can take seconds, so it's better to also add it after migrations. Let me add it to both `setupSqlite` (runs every startup) and check the runtime impact:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":118264,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1770},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveodRNKsnrLRJj2ZwZw","type":"assistant","uuid":"fe8f5ea2-f0af-46bc-9879-3a1e44c3abc3","timestamp":"2026-03-11T04:21:30.775Z"} +{"type":"file-history-snapshot","messageId":"ea3db250-6da4-465a-8e7e-00208e40b135","snapshot":{"messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v2","version":2,"backupTime":"2026-03-11T04:13:22.586Z"},"internal/repository/user.go":{"backupFileName":"9be0bb0148476b49@v1","version":1,"backupTime":"2026-03-11T04:20:46.639Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T04:21:35.897Z"}},"timestamp":"2026-03-11T04:13:22.585Z"},"isSnapshotUpdate":true} +{"parentUuid":"fe8f5ea2-f0af-46bc-9879-3a1e44c3abc3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Tss1QXswuKpg8rWmfKfz5x","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ASp2zFDg3C6HZijErMp8JJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}","new_string":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":118264,"output_tokens":466,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1770,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveodRNKsnrLRJj2ZwZw","type":"assistant","uuid":"ea3db250-6da4-465a-8e7e-00208e40b135","timestamp":"2026-03-11T04:21:35.872Z"} +{"parentUuid":"ea3db250-6da4-465a-8e7e-00208e40b135","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01ASp2zFDg3C6HZijErMp8JJ","toolUseID":"toolu_01ASp2zFDg3C6HZijErMp8JJ","timestamp":"2026-03-11T04:21:35.900Z","uuid":"74846c34-db71-46ed-afff-b237eb505c7b"} +{"parentUuid":"ea3db250-6da4-465a-8e7e-00208e40b135","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ASp2zFDg3C6HZijErMp8JJ","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"26d988b8-6be8-4263-8cd3-6fae3f76c644","timestamp":"2026-03-11T04:21:35.900Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}","newString":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\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 repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":48,"oldLines":6,"newStart":48,"newLines":14,"lines":[" }"," }"," ","+ // Update query planner statistics so SQLite picks optimal indexes.","+ // Without this, SQLite guesses row distributions and often chooses wrong","+ // indexes for queries with IN clauses + ORDER BY, causing full table sorts","+ // in temp B-trees instead of using covering indexes.","+ if _, err := db.Exec(\"ANALYZE\"); err != nil {","+ cclog.Warnf(\"Failed to run ANALYZE: %v\", err)","+ }","+"," return nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ea3db250-6da4-465a-8e7e-00208e40b135"} +{"parentUuid":"26d988b8-6be8-4263-8cd3-6fae3f76c644","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01A9vKZQTsCd47bfAzaXEu5p","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H1h9ztbegTK5fij7NHwrkB","name":"Bash","input":{"command":"go build ./... && go vet ./internal/repository/... && go test ./internal/repository/...","description":"Build, vet, and test all changes","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":506,"cache_read_input_tokens":120034,"output_tokens":116,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":506,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvepM3A7jn1rLCS9z8QQ","type":"assistant","uuid":"e1000d86-b9ed-43f5-9839-2a9bff6aae83","timestamp":"2026-03-11T04:21:39.034Z"} +{"parentUuid":"e1000d86-b9ed-43f5-9839-2a9bff6aae83","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H1h9ztbegTK5fij7NHwrkB","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.882s","is_error":false}]},"uuid":"8d9b5a96-061e-41d1-875d-ece946bde5ba","timestamp":"2026-03-11T04:21:46.747Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.882s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"e1000d86-b9ed-43f5-9839-2a9bff6aae83"} +{"parentUuid":"8d9b5a96-061e-41d1-875d-ece946bde5ba","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01DbpCZXtRAf9H7QrxWqZ5gE","type":"message","role":"assistant","content":[{"type":"text","text":"All passes. Here's a summary of findings and fixes:\n\n---\n\n## Findings\n\n### Bug 1: Missing `defer rows.Close()` in `user.go:GetLdapUsernames()` (line 100)\n**Fixed.** Every call leaked a database connection and its buffers.\n\n### Bug 2: SQLite never runs `ANALYZE` — wrong index selection\n**Fixed.** Added `ANALYZE` to `setupSqlite()` in `dbConnection.go`.\n\nWithout statistics in `sqlite_stat1`, SQLite's query planner **guessed** and chose `jobs_jobstate_energy` (a terrible index for this query) instead of scanning `jobs_starttime` in reverse. The result:\n\n| | Before ANALYZE | After ANALYZE |\n|---|---|---|\n| Index used | `jobs_jobstate_energy` | `jobs_starttime` |\n| Sort | **TEMP B-TREE** (materializes ALL rows) | None (index order) |\n| Memory | Proportional to total matching rows | Constant |\n| I/O | Full scan of all matching rows | Stops at OFFSET+LIMIT |\n\n### Bug 3: `IN` clause + `ORDER BY` is fundamentally incompatible with composite indexes\n\nEven with the \"correct\" index `(job_state, start_time)`, SQLite **cannot** merge-sort across 3 separate index range scans for `IN ('completed','running','failed')`. It always falls back to a temp B-tree sort. The only efficient plan is to use the standalone `jobs_starttime` index — which SQLite does automatically **after ANALYZE** because it realizes the 3 states cover virtually all rows, making the WHERE clause nearly a no-op.\n\n### Observation: 79 indexes on the `job` table\nThis is excessive and actively harmful — it confuses the query planner (especially without ANALYZE) and slows writes. The `jobs_jobstate_starttime` index from migration 08 is also missing from the actual DB (only the 3-column `jobs_jobstate_starttime_duration` exists). This is worth investigating separately but is a schema/migration concern, not a code bug."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":153,"cache_read_input_tokens":120540,"output_tokens":500,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":153,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveq9QSvRtPQukPDHvUy","type":"assistant","uuid":"09019982-a241-40fa-b6cb-6b8920303b5c","timestamp":"2026-03-11T04:22:02.158Z"} +{"parentUuid":"09019982-a241-40fa-b6cb-6b8920303b5c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"b9a3918e-9451-4228-b86c-64bbac8e7fdc","toolUseID":"b9a3918e-9451-4228-b86c-64bbac8e7fdc","timestamp":"2026-03-11T04:22:02.184Z","uuid":"0621434a-49b2-4f9a-b1fe-4529aa92d2af"} +{"parentUuid":"0621434a-49b2-4f9a-b1fe-4529aa92d2af","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":753}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-11T04:22:02.938Z","uuid":"f48f9da7-6103-40cf-a6b1-5e8e3fe7ee68","toolUseID":"b9a3918e-9451-4228-b86c-64bbac8e7fdc"} +{"parentUuid":"f48f9da7-6103-40cf-a6b1-5e8e3fe7ee68","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"turn_duration","durationMs":389824,"timestamp":"2026-03-11T04:22:02.939Z","uuid":"6735f33e-7963-4666-9db2-5a3d57535c54","isMeta":false} diff --git a/ea/70a955214d/0/metadata.json b/ea/70a955214d/0/metadata.json new file mode 100644 index 00000000..c20110d3 --- /dev/null +++ b/ea/70a955214d/0/metadata.json @@ -0,0 +1,31 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "ea70a955214d", + "session_id": "42401d2e-7d1c-4c0e-abe6-356cb2d48747", + "strategy": "manual-commit", + "created_at": "2026-03-11T04:28:54.113637Z", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "internal/repository/dbConnection.go", + "internal/repository/user.go" + ], + "agent": "Claude Code", + "turn_id": "bc0bf5479f41", + "token_usage": { + "input_tokens": 6958, + "cache_creation_tokens": 166480, + "cache_read_tokens": 3926159, + "output_tokens": 18066, + "api_call_count": 45 + }, + "initial_attribution": { + "calculated_at": "2026-03-11T04:28:53.78725Z", + "agent_lines": 9, + "human_added": 256, + "human_modified": 0, + "human_removed": 0, + "total_committed": 265, + "agent_percentage": 3.3962264150943398 + } +} diff --git a/ea/70a955214d/0/prompt.txt b/ea/70a955214d/0/prompt.txt new file mode 100644 index 00000000..86181996 --- /dev/null +++ b/ea/70a955214d/0/prompt.txt @@ -0,0 +1,101 @@ +Implement the following plan: + +# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries + +## Context + +Production memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns). + +## Findings + +**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close. + +In `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`. + +`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed). + +## Changes Required + +### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()` + +Add `defer rows.Close()` immediately after the `if err != nil` check for each: + +| Line | Function | +|------|----------| +| 233 | `JobsStatsGrouped` | +| 438 | `JobCountGrouped` | +| 494 | `AddJobCountGrouped` | +| 553 | `AddJobCount` | +| 753 | `jobsStatisticsHistogram` | +| 821 | `jobsDurationStatisticsHistogram` | +| 946 | `jobsMetricStatisticsHistogram` | + +Pattern — after each `Query()` error check, add: +```go +rows, err := query.RunWith(r.DB).Query() +if err != nil { + ... + return nil, err +} +defer rows.Close() // <-- ADD THIS +``` + +### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()` + +**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check. + +**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check. + +### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags` + +**Line 508** (`GetTags`): add `defer rows.Close()` after error check. +**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check. +**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check. + +### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()` + +**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375. + +**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427. + +**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569. + +**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633. + +## Summary of All Edits + +| File | Function | Action | +|------|----------|--------| +| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` | +| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` | +| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` | +| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` | +| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` | +| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` | +| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` | +| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` | +| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` | +| `tags.go:513` | `GetTags` | Add `defer rows.Close()` | +| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` | +| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` | +| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 | +| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 | +| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 | +| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 | + +## Verification + +1. `go build ./...` — ensure it compiles +2. `go test ./internal/repository/...` — run repository tests +3. `go vet ./internal/repository/...` — static analysis + + +If 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-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e.jsonl + +--- + +Check if the fixes are correctly merged in nodes.go + +--- + +There also have to be bugs in jobQuery.go . Especially the following query triggers the memory leak: SELECT * FROM job WHERE job.job_state IN ("completed", "running", "failed") ORDER BY job.start_time DESC LIMIT 1 OFFSET 10; Dig deeper to find the cause. Also investigate why no existing index is used for this query. \ No newline at end of file diff --git a/ea/70a955214d/metadata.json b/ea/70a955214d/metadata.json new file mode 100644 index 00000000..94beeb75 --- /dev/null +++ b/ea/70a955214d/metadata.json @@ -0,0 +1,27 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "ea70a955214d", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "internal/repository/dbConnection.go", + "internal/repository/user.go" + ], + "sessions": [ + { + "metadata": "/ea/70a955214d/0/metadata.json", + "transcript": "/ea/70a955214d/0/full.jsonl", + "context": "/ea/70a955214d/0/context.md", + "content_hash": "/ea/70a955214d/0/content_hash.txt", + "prompt": "/ea/70a955214d/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 6958, + "cache_creation_tokens": 166480, + "cache_read_tokens": 3926159, + "output_tokens": 18066, + "api_call_count": 45 + } +} From a7a96333adf79396f502cd9862d0d8ca6c0b14d1 Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Wed, 11 Mar 2026 05:46:04 +0100 Subject: [PATCH 3/6] Checkpoint: af7afc9a29ff Entire-Session: c31c699a-f492-48f7-bcf0-35d3ceeac243 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/eba3995-e3b0c4 --- af/7afc9a29ff/0/content_hash.txt | 1 + af/7afc9a29ff/0/context.md | 16 ++++ af/7afc9a29ff/0/full.jsonl | 40 +++++++++ af/7afc9a29ff/0/metadata.json | 32 +++++++ af/7afc9a29ff/0/prompt.txt | 139 +++++++++++++++++++++++++++++++ af/7afc9a29ff/metadata.json | 28 +++++++ 6 files changed, 256 insertions(+) create mode 100644 af/7afc9a29ff/0/content_hash.txt create mode 100644 af/7afc9a29ff/0/context.md create mode 100644 af/7afc9a29ff/0/full.jsonl create mode 100644 af/7afc9a29ff/0/metadata.json create mode 100644 af/7afc9a29ff/0/prompt.txt create mode 100644 af/7afc9a29ff/metadata.json diff --git a/af/7afc9a29ff/0/content_hash.txt b/af/7afc9a29ff/0/content_hash.txt new file mode 100644 index 00000000..1c4d96dc --- /dev/null +++ b/af/7afc9a29ff/0/content_hash.txt @@ -0,0 +1 @@ +sha256:2acb0c920c03e15d278d2ceab4ca80e35ae17c4c587ab7ee35844144cac5e341 \ No newline at end of file diff --git a/af/7afc9a29ff/0/context.md b/af/7afc9a29ff/0/context.md new file mode 100644 index 00000000..2610a88d --- /dev/null +++ b/af/7afc9a29ff/0/context.md @@ -0,0 +1,16 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Optimize Job Table Indexes for 20M Row Production Database + +## Context + +The `job` table has **79 indexes** (created in migrations 08/09), causing: +1. **Wrong index selection** — without `ANALYZE` statistics, SQLite picks wrong indexes (e.g., `jobs_jobstate_energy` instead of `jobs_starttime` for ORDER BY queries), causing full-table temp B-tree sorts on 20M rows → timeouts +2. **Excessive disk/memory overhead** — each index costs ~200-400MB at 20M rows; 79 inde... + diff --git a/af/7afc9a29ff/0/full.jsonl b/af/7afc9a29ff/0/full.jsonl new file mode 100644 index 00000000..9eea5b14 --- /dev/null +++ b/af/7afc9a29ff/0/full.jsonl @@ -0,0 +1,40 @@ +{"type":"file-history-snapshot","messageId":"72c84a91-f5c7-4649-8e4d-289e01311184","snapshot":{"messageId":"72c84a91-f5c7-4649-8e4d-289e01311184","trackedFileBackups":{},"timestamp":"2026-03-11T04:41:52.797Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"12e5f71a-63c7-4c47-96d1-8147a83d54fc","toolUseID":"12e5f71a-63c7-4c47-96d1-8147a83d54fc","timestamp":"2026-03-11T04:41:52.751Z","uuid":"055e7e8f-810a-4df0-92cc-1a068089f4ce"} +{"parentUuid":"055e7e8f-810a-4df0-92cc-1a068089f4ce","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Optimize Job Table Indexes for 20M Row Production Database\n\n## Context\n\nThe `job` table has **79 indexes** (created in migrations 08/09), causing:\n1. **Wrong index selection** — without `ANALYZE` statistics, SQLite picks wrong indexes (e.g., `jobs_jobstate_energy` instead of `jobs_starttime` for ORDER BY queries), causing full-table temp B-tree sorts on 20M rows → timeouts\n2. **Excessive disk/memory overhead** — each index costs ~200-400MB at 20M rows; 79 indexes = ~16-32GB wasted\n3. **Slower writes** — every INSERT/UPDATE touches all 79 indexes\n4. **Planner confusion** — too many similar indexes make the query planner's cost estimation unreliable\n\nThe `ANALYZE` fix (already added to `setupSqlite` in `dbConnection.go`) resolves the planner issue with current indexes, but the index count must be reduced for disk/write performance.\n\n## Approach: Reduce to 20 indexes\n\nThe key insight from query plan analysis: with `ANALYZE` and `LIMIT`, a `(filter_col, sort_col)` index is often better than `(filter_col1, filter_col2, sort_col)` because SQLite can scan the index in sort order and cheaply filter non-matching rows, stopping at LIMIT.\n\n### Verified query plans (with ANALYZE, after this change)\n\n| # | Pattern | Index Used | Plan |\n|---|---------|-----------|------|\n| 1 | Multi-state IN + ORDER BY start_time LIMIT | `jobs_starttime` | SCAN (index order, no sort) |\n| 2 | cluster + state + sort start_time | `jobs_cluster_starttime_duration` | SEARCH |\n| 3 | hpc_user + sort start_time | `jobs_user_starttime_duration` | SEARCH |\n| 4 | cluster + state aggregation | `jobs_cluster_jobstate_duration_starttime` | COVERING SEARCH |\n| 5 | Unique lookup (job_id,cluster,start_time) | `sqlite_autoindex_job_1` | SEARCH |\n| 6 | Running jobs for cluster + duration > | `jobs_cluster_jobstate_duration_starttime` | SEARCH |\n| 7 | start_time BETWEEN range | `jobs_starttime` | SEARCH |\n| 8 | GROUP BY user with cluster | `jobs_cluster_user` | COVERING SEARCH |\n| 9 | Concurrent jobs (cluster + start_time <) | `jobs_cluster_starttime_duration` | SEARCH |\n| 10 | project IN + state IN + sort | `jobs_jobstate_project` | SEARCH + temp sort |\n| 11 | user + multi-state + sort start_time | `jobs_user_starttime_duration` | SEARCH |\n| 12 | cluster + state + sort duration | `jobs_cluster_jobstate_duration_starttime` | SEARCH |\n| 13 | cluster + state + sort num_nodes | `jobs_cluster_numnodes` | SEARCH (state filtered per-row) |\n| 14 | Tag join | `tags_tagid` + PK | SEARCH |\n| 15 | Delete before timestamp | `jobs_starttime` | COVERING SEARCH |\n| 16 | Non-running jobs (GetJobList) | `jobs_jobstate_duration_starttime` | COVERING SCAN |\n\n## Changes Required\n\n### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql` (new)\n\n```sql\n-- Drop all 77 job indexes from migration 09 (sqlite_autoindex_job_1 is UNIQUE, kept)\n-- Then create optimized set of 20\n\n-- GROUP 1: Global (1 index)\n-- #1 jobs_starttime (start_time)\n-- Default sort for unfiltered/multi-state queries, time range, delete-before\n\n-- GROUP 2: Cluster-prefixed (8 indexes)\n-- #2 jobs_cluster_starttime_duration (cluster, start_time, duration)\n-- Cluster + default sort, concurrent jobs, time range within cluster\n-- #3 jobs_cluster_duration_starttime (cluster, duration, start_time)\n-- Cluster + sort by duration\n-- #4 jobs_cluster_jobstate_duration_starttime (cluster, job_state, duration, start_time)\n-- COVERING for cluster+state aggregation; running jobs (cluster, state, duration>?)\n-- #5 jobs_cluster_jobstate_starttime_duration (cluster, job_state, start_time, duration)\n-- Cluster+state+sort start_time (single state equality)\n-- #6 jobs_cluster_user (cluster, hpc_user)\n-- COVERING for GROUP BY user with cluster filter\n-- #7 jobs_cluster_project (cluster, project)\n-- GROUP BY project with cluster filter\n-- #8 jobs_cluster_subcluster (cluster, subcluster)\n-- GROUP BY subcluster with cluster filter\n-- #9 jobs_cluster_numnodes (cluster, num_nodes)\n-- Cluster + sort by num_nodes (state filtered per-row, fast with LIMIT)\n\n-- GROUP 3: User-prefixed (1 index)\n-- #10 jobs_user_starttime_duration (hpc_user, start_time, duration)\n-- Security filter (user role) + default sort\n\n-- GROUP 4: Project-prefixed (1 index)\n-- #11 jobs_project_starttime_duration (project, start_time, duration)\n-- Security filter (manager role) + default sort\n\n-- GROUP 5: JobState-prefixed (3 indexes)\n-- #12 jobs_jobstate_project (job_state, project)\n-- State + project filter (for manager security within state query)\n-- #13 jobs_jobstate_user (job_state, hpc_user)\n-- State + user filter/aggregation\n-- #14 jobs_jobstate_duration_starttime (job_state, duration, start_time)\n-- COVERING for non-running jobs scan, state + sort duration\n\n-- GROUP 6: Rare filters (1 index)\n-- #15 jobs_arrayjobid (array_job_id)\n-- Array job lookup (rare but must be indexed)\n\n-- GROUP 7: Secondary sort columns (5 indexes)\n-- #16 jobs_cluster_numhwthreads (cluster, num_hwthreads)\n-- #17 jobs_cluster_numacc (cluster, num_acc)\n-- #18 jobs_cluster_energy (cluster, energy)\n-- #19 jobs_cluster_partition_starttime (cluster, cluster_partition, start_time)\n-- Cluster+partition + sort start_time\n-- #20 jobs_cluster_partition_jobstate (cluster, cluster_partition, job_state)\n-- Cluster+partition+state filter\n```\n\n### What's dropped and why (59 indexes removed)\n\n| Category | Count | Why redundant |\n|----------|-------|---------------|\n| cluster+partition sort/filter variants | 8 | Kept only 2 partition indexes (#19, #20); rest use cluster indexes + row filter |\n| cluster+shared (all) | 8 | `shared` is rare; cluster index + row filter is fast |\n| shared-prefixed (all) | 8 | `shared` alone is never a leading filter |\n| cluster+jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | Replaced by `(cluster, sort_col)` indexes which work for any state combo with LIMIT |\n| user sort variants (numnodes, hwthreads, acc, energy, duration) | 5 | User result sets are small; temp sort is fast |\n| project sort variants + project_user | 6 | Same reasoning as user |\n| jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | State has low cardinality; cluster+sort indexes handle these |\n| single-filter+starttime (5) + single-filter+duration (5) | 10 | Queries always have cluster/user/project filter; standalone rare |\n| standalone duration | 1 | Covered by cluster_duration_starttime |\n| duplicate arrayjob variants | 1 | Simplified to single-column (array_job_id) |\n| redundant cluster_starttime variants | 2 | Consolidated into 2 cluster+time indexes |\n| cluster_jobstate_user, cluster_jobstate_project | 2 | Covered by cluster_user/cluster_project + state row filter |\n\n### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql` (new)\n\nRecreate all 77 indexes from migration 09 for safe rollback.\n\n### File: `internal/repository/migration.go`\n\nIncrement `Version` from `10` to `11`.\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. `cc-backend -migrate-db` on a test copy of production DB\n4. After migration, run `ANALYZE;` then verify all 16 query plans match the table above using:\n ```sql\n EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed','running','failed') ORDER BY job.start_time DESC LIMIT 50;\n -- Should show: SCAN job USING INDEX jobs_starttime\n ```\n5. Verify index count: `SELECT COUNT(*) FROM sqlite_master WHERE type='index' AND tbl_name='job';` → should be 21 (20 + autoindex)\n6. Compare DB file size before/after (expect ~70% reduction in index overhead)\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-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747.jsonl"},"uuid":"72c84a91-f5c7-4649-8e4d-289e01311184","timestamp":"2026-03-11T04:41:49.756Z","planContent":"# Optimize Job Table Indexes for 20M Row Production Database\n\n## Context\n\nThe `job` table has **79 indexes** (created in migrations 08/09), causing:\n1. **Wrong index selection** — without `ANALYZE` statistics, SQLite picks wrong indexes (e.g., `jobs_jobstate_energy` instead of `jobs_starttime` for ORDER BY queries), causing full-table temp B-tree sorts on 20M rows → timeouts\n2. **Excessive disk/memory overhead** — each index costs ~200-400MB at 20M rows; 79 indexes = ~16-32GB wasted\n3. **Slower writes** — every INSERT/UPDATE touches all 79 indexes\n4. **Planner confusion** — too many similar indexes make the query planner's cost estimation unreliable\n\nThe `ANALYZE` fix (already added to `setupSqlite` in `dbConnection.go`) resolves the planner issue with current indexes, but the index count must be reduced for disk/write performance.\n\n## Approach: Reduce to 20 indexes\n\nThe key insight from query plan analysis: with `ANALYZE` and `LIMIT`, a `(filter_col, sort_col)` index is often better than `(filter_col1, filter_col2, sort_col)` because SQLite can scan the index in sort order and cheaply filter non-matching rows, stopping at LIMIT.\n\n### Verified query plans (with ANALYZE, after this change)\n\n| # | Pattern | Index Used | Plan |\n|---|---------|-----------|------|\n| 1 | Multi-state IN + ORDER BY start_time LIMIT | `jobs_starttime` | SCAN (index order, no sort) |\n| 2 | cluster + state + sort start_time | `jobs_cluster_starttime_duration` | SEARCH |\n| 3 | hpc_user + sort start_time | `jobs_user_starttime_duration` | SEARCH |\n| 4 | cluster + state aggregation | `jobs_cluster_jobstate_duration_starttime` | COVERING SEARCH |\n| 5 | Unique lookup (job_id,cluster,start_time) | `sqlite_autoindex_job_1` | SEARCH |\n| 6 | Running jobs for cluster + duration > | `jobs_cluster_jobstate_duration_starttime` | SEARCH |\n| 7 | start_time BETWEEN range | `jobs_starttime` | SEARCH |\n| 8 | GROUP BY user with cluster | `jobs_cluster_user` | COVERING SEARCH |\n| 9 | Concurrent jobs (cluster + start_time <) | `jobs_cluster_starttime_duration` | SEARCH |\n| 10 | project IN + state IN + sort | `jobs_jobstate_project` | SEARCH + temp sort |\n| 11 | user + multi-state + sort start_time | `jobs_user_starttime_duration` | SEARCH |\n| 12 | cluster + state + sort duration | `jobs_cluster_jobstate_duration_starttime` | SEARCH |\n| 13 | cluster + state + sort num_nodes | `jobs_cluster_numnodes` | SEARCH (state filtered per-row) |\n| 14 | Tag join | `tags_tagid` + PK | SEARCH |\n| 15 | Delete before timestamp | `jobs_starttime` | COVERING SEARCH |\n| 16 | Non-running jobs (GetJobList) | `jobs_jobstate_duration_starttime` | COVERING SCAN |\n\n## Changes Required\n\n### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql` (new)\n\n```sql\n-- Drop all 77 job indexes from migration 09 (sqlite_autoindex_job_1 is UNIQUE, kept)\n-- Then create optimized set of 20\n\n-- GROUP 1: Global (1 index)\n-- #1 jobs_starttime (start_time)\n-- Default sort for unfiltered/multi-state queries, time range, delete-before\n\n-- GROUP 2: Cluster-prefixed (8 indexes)\n-- #2 jobs_cluster_starttime_duration (cluster, start_time, duration)\n-- Cluster + default sort, concurrent jobs, time range within cluster\n-- #3 jobs_cluster_duration_starttime (cluster, duration, start_time)\n-- Cluster + sort by duration\n-- #4 jobs_cluster_jobstate_duration_starttime (cluster, job_state, duration, start_time)\n-- COVERING for cluster+state aggregation; running jobs (cluster, state, duration>?)\n-- #5 jobs_cluster_jobstate_starttime_duration (cluster, job_state, start_time, duration)\n-- Cluster+state+sort start_time (single state equality)\n-- #6 jobs_cluster_user (cluster, hpc_user)\n-- COVERING for GROUP BY user with cluster filter\n-- #7 jobs_cluster_project (cluster, project)\n-- GROUP BY project with cluster filter\n-- #8 jobs_cluster_subcluster (cluster, subcluster)\n-- GROUP BY subcluster with cluster filter\n-- #9 jobs_cluster_numnodes (cluster, num_nodes)\n-- Cluster + sort by num_nodes (state filtered per-row, fast with LIMIT)\n\n-- GROUP 3: User-prefixed (1 index)\n-- #10 jobs_user_starttime_duration (hpc_user, start_time, duration)\n-- Security filter (user role) + default sort\n\n-- GROUP 4: Project-prefixed (1 index)\n-- #11 jobs_project_starttime_duration (project, start_time, duration)\n-- Security filter (manager role) + default sort\n\n-- GROUP 5: JobState-prefixed (3 indexes)\n-- #12 jobs_jobstate_project (job_state, project)\n-- State + project filter (for manager security within state query)\n-- #13 jobs_jobstate_user (job_state, hpc_user)\n-- State + user filter/aggregation\n-- #14 jobs_jobstate_duration_starttime (job_state, duration, start_time)\n-- COVERING for non-running jobs scan, state + sort duration\n\n-- GROUP 6: Rare filters (1 index)\n-- #15 jobs_arrayjobid (array_job_id)\n-- Array job lookup (rare but must be indexed)\n\n-- GROUP 7: Secondary sort columns (5 indexes)\n-- #16 jobs_cluster_numhwthreads (cluster, num_hwthreads)\n-- #17 jobs_cluster_numacc (cluster, num_acc)\n-- #18 jobs_cluster_energy (cluster, energy)\n-- #19 jobs_cluster_partition_starttime (cluster, cluster_partition, start_time)\n-- Cluster+partition + sort start_time\n-- #20 jobs_cluster_partition_jobstate (cluster, cluster_partition, job_state)\n-- Cluster+partition+state filter\n```\n\n### What's dropped and why (59 indexes removed)\n\n| Category | Count | Why redundant |\n|----------|-------|---------------|\n| cluster+partition sort/filter variants | 8 | Kept only 2 partition indexes (#19, #20); rest use cluster indexes + row filter |\n| cluster+shared (all) | 8 | `shared` is rare; cluster index + row filter is fast |\n| shared-prefixed (all) | 8 | `shared` alone is never a leading filter |\n| cluster+jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | Replaced by `(cluster, sort_col)` indexes which work for any state combo with LIMIT |\n| user sort variants (numnodes, hwthreads, acc, energy, duration) | 5 | User result sets are small; temp sort is fast |\n| project sort variants + project_user | 6 | Same reasoning as user |\n| jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | State has low cardinality; cluster+sort indexes handle these |\n| single-filter+starttime (5) + single-filter+duration (5) | 10 | Queries always have cluster/user/project filter; standalone rare |\n| standalone duration | 1 | Covered by cluster_duration_starttime |\n| duplicate arrayjob variants | 1 | Simplified to single-column (array_job_id) |\n| redundant cluster_starttime variants | 2 | Consolidated into 2 cluster+time indexes |\n| cluster_jobstate_user, cluster_jobstate_project | 2 | Covered by cluster_user/cluster_project + state row filter |\n\n### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql` (new)\n\nRecreate all 77 indexes from migration 09 for safe rollback.\n\n### File: `internal/repository/migration.go`\n\nIncrement `Version` from `10` to `11`.\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. `cc-backend -migrate-db` on a test copy of production DB\n4. After migration, run `ANALYZE;` then verify all 16 query plans match the table above using:\n ```sql\n EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed','running','failed') ORDER BY job.start_time DESC LIMIT 50;\n -- Should show: SCAN job USING INDEX jobs_starttime\n ```\n5. Verify index count: `SELECT COUNT(*) FROM sqlite_master WHERE type='index' AND tbl_name='job';` → should be 21 (20 + autoindex)\n6. Compare DB file size before/after (expect ~70% reduction in index overhead)\n"} +{"parentUuid":"72c84a91-f5c7-4649-8e4d-289e01311184","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019xQB2Q2yFFLC521s9Z1wnQ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EpQDCkYICxgCKkBX3cIqC/hl3rZrLq2R+z1SuKEv94+422C8AScTBPjU8xrYmFyfb8irpzWmO+WL8Y+FUJlpc5ewp4jVswgIla/fEgwQFeyLTtUylhjnMlcaDBzysqsT159PzWoE0SIwqsrfTIUzlqPyBIbtiUVH6x6FyNFocZNRqux16cMsNTjWs5xjUu6+yRqQYavPb74/KvsBPrrx/fDYyiuj/0KwhlKZdom2mzUQp0PqeoGaskE1VkZswZazswubnk4N7o1N1LX71fCTiiVxP8R05yWdY0Zp/PN+xV6fYycEnTcmWMkkTDkgDhSkCktiBds2C9Zyj6KiF/PLqLh6mqXfqifhr1dB3TDyegIt38pHhZVl4mGJ0bIjkhyXyq9876/FkfUYRjB5RQtCb67ng1ldzCHZ+TpuVv/kkewVn1eu6+EcAG2ONKMnGntaEWGONNiYjF76jCrTO5+YX2zZ30+lkunwFmjUdU3DrqGeqJqPHpDCKITEeKG+rqs2rxviubdw37tNmM16X8D5ul0maD1QnrIYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9244,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9244},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgN3wWnPWcqr83nJ9PY","type":"assistant","uuid":"9b959ee9-adc0-4865-8f66-ae63162ec719","timestamp":"2026-03-11T04:41:56.714Z"} +{"parentUuid":"9b959ee9-adc0-4865-8f66-ae63162ec719","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019xQB2Q2yFFLC521s9Z1wnQ","type":"message","role":"assistant","content":[{"type":"text","text":"Let me start by reading the existing files I need to understand."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9244,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9244},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgN3wWnPWcqr83nJ9PY","type":"assistant","uuid":"4a4e1b26-321c-40b6-82b3-850ea665d462","timestamp":"2026-03-11T04:41:56.715Z"} +{"parentUuid":"4a4e1b26-321c-40b6-82b3-850ea665d462","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019xQB2Q2yFFLC521s9Z1wnQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015D1KVndCiJPK9nnkMbcTL7","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9244,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9244},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgN3wWnPWcqr83nJ9PY","type":"assistant","uuid":"ec79230b-8e2f-4028-8d2c-aef27fa1af51","timestamp":"2026-03-11T04:41:57.608Z"} +{"parentUuid":"ec79230b-8e2f-4028-8d2c-aef27fa1af51","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015D1KVndCiJPK9nnkMbcTL7","toolUseID":"toolu_015D1KVndCiJPK9nnkMbcTL7","timestamp":"2026-03-11T04:41:57.623Z","uuid":"747ae1af-e33f-4425-b1d3-bebfb1167a3e"} +{"parentUuid":"ec79230b-8e2f-4028-8d2c-aef27fa1af51","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015D1KVndCiJPK9nnkMbcTL7","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 10: Current version\n 25→//\n 26→// Migration files are embedded at build time from the migrations directory.\n 27→const Version uint = 10\n 28→\n 29→//go:embed migrations/*\n 30→var migrationFiles embed.FS\n 31→\n 32→// checkDBVersion verifies that the database schema version matches the expected version.\n 33→// This is called automatically during Connect() to ensure schema compatibility.\n 34→//\n 35→// Returns an error if:\n 36→// - Database version is older than expected (needs migration)\n 37→// - Database version is newer than expected (needs app upgrade)\n 38→// - Database is in a dirty state (failed migration)\n 39→//\n 40→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 41→// This requires manual intervention to fix the database and force the version.\n 42→func checkDBVersion(db *sql.DB) error {\n 43→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 44→\tif err != nil {\n 45→\t\treturn err\n 46→\t}\n 47→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 48→\tif err != nil {\n 49→\t\treturn err\n 50→\t}\n 51→\n 52→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 53→\tif err != nil {\n 54→\t\treturn err\n 55→\t}\n 56→\n 57→\tv, dirty, err := m.Version()\n 58→\tif err != nil {\n 59→\t\tif err == migrate.ErrNilVersion {\n 60→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 61→\t\t} else {\n 62→\t\t\treturn err\n 63→\t\t}\n 64→\t}\n 65→\n 66→\tif v < Version {\n 67→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 68→\t} else if v > Version {\n 69→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 70→\t}\n 71→\n 72→\tif dirty {\n 73→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 74→\t}\n 75→\n 76→\treturn nil\n 77→}\n 78→\n 79→// getMigrateInstance creates a new migration instance for the given database file.\n 80→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 81→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 82→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 83→\tif err != nil {\n 84→\t\treturn nil, err\n 85→\t}\n 86→\n 87→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 88→\tif err != nil {\n 89→\t\treturn nil, err\n 90→\t}\n 91→\n 92→\treturn m, nil\n 93→}\n 94→\n 95→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 96→// This should be run with the -migrate-db flag before starting the application\n 97→// after upgrading to a new version that requires schema changes.\n 98→//\n 99→// Process:\n 100→// 1. Checks current database version\n 101→// 2. Applies all migrations from current version to target Version\n 102→// 3. Updates schema_migrations table to track applied migrations\n 103→//\n 104→// Important:\n 105→// - Always backup your database before running migrations\n 106→// - Migrations are irreversible without manual intervention\n 107→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 108→//\n 109→// Usage:\n 110→//\n 111→//\tcc-backend -migrate-db\n 112→func MigrateDB(db string) error {\n 113→\tm, err := getMigrateInstance(db)\n 114→\tif err != nil {\n 115→\t\treturn err\n 116→\t}\n 117→\n 118→\tv, dirty, err := m.Version()\n 119→\tif err != nil {\n 120→\t\tif err == migrate.ErrNilVersion {\n 121→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 122→\t\t} else {\n 123→\t\t\treturn err\n 124→\t\t}\n 125→\t}\n 126→\n 127→\tif v < Version {\n 128→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 129→\t}\n 130→\n 131→\tif dirty {\n 132→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 133→\t}\n 134→\n 135→\tif err := m.Up(); err != nil {\n 136→\t\tif err == migrate.ErrNoChange {\n 137→\t\t\tcclog.Info(\"DB already up to date!\")\n 138→\t\t} else {\n 139→\t\t\treturn err\n 140→\t\t}\n 141→\t}\n 142→\n 143→\tm.Close()\n 144→\treturn nil\n 145→}\n 146→\n 147→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 148→// This is primarily used for testing or emergency rollback scenarios.\n 149→//\n 150→// Warning:\n 151→// - This may cause data loss if newer schema added columns/tables\n 152→// - Always backup before reverting\n 153→// - Not all migrations are safely reversible\n 154→//\n 155→// Usage:\n 156→//\n 157→//\tcc-backend -revert-db\n 158→func RevertDB(db string) error {\n 159→\tm, err := getMigrateInstance(db)\n 160→\tif err != nil {\n 161→\t\treturn err\n 162→\t}\n 163→\n 164→\tif err := m.Migrate(Version - 1); err != nil {\n 165→\t\tif err == migrate.ErrNoChange {\n 166→\t\t\tcclog.Info(\"DB already up to date!\")\n 167→\t\t} else {\n 168→\t\t\treturn err\n 169→\t\t}\n 170→\t}\n 171→\n 172→\tm.Close()\n 173→\treturn nil\n 174→}\n 175→\n 176→// ForceDB forces the database schema version to the current Version without running migrations.\n 177→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 178→//\n 179→// When to use:\n 180→// - After manually fixing a failed migration\n 181→// - When you've manually applied schema changes and need to update the version marker\n 182→//\n 183→// Warning:\n 184→// - This does NOT apply any schema changes\n 185→// - Only use after manually verifying the schema is correct\n 186→// - Improper use can cause schema/version mismatch\n 187→//\n 188→// Usage:\n 189→//\n 190→//\tcc-backend -force-db\n 191→func ForceDB(db string) error {\n 192→\tm, err := getMigrateInstance(db)\n 193→\tif err != nil {\n 194→\t\treturn err\n 195→\t}\n 196→\n 197→\tif err := m.Force(int(Version)); err != nil {\n 198→\t\treturn err\n 199→\t}\n 200→\n 201→\tm.Close()\n 202→\treturn nil\n 203→}\n 204→"}]},"uuid":"fa4d7631-ae74-497f-a5be-af00b768e3ec","timestamp":"2026-03-11T04:41:57.622Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":204,"startLine":1,"totalLines":204}},"sourceToolAssistantUUID":"ec79230b-8e2f-4028-8d2c-aef27fa1af51"} 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files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9244,"cache_read_input_tokens":8781,"output_tokens":233,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":9244,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvgN3wWnPWcqr83nJ9PY","type":"assistant","uuid":"f87cb0d2-af56-411c-ab61-194ec409a877","timestamp":"2026-03-11T04:41:58.155Z"} +{"parentUuid":"f87cb0d2-af56-411c-ab61-194ec409a877","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UfDhs2dZmpCKH6KQw2ydK4","type":"tool_result","content":"01_init-schema.down.sql\n01_init-schema.up.sql\n02_add-index.down.sql\n02_add-index.up.sql\n03_add-userprojects.down.sql\n03_add-userprojects.up.sql\n04_add-constraints.down.sql\n04_add-constraints.up.sql\n05_extend-tags.down.sql\n05_extend-tags.up.sql\n06_change-config.down.sql\n06_change-config.up.sql\n07_fix-tag-id.down.sql\n07_fix-tag-id.up.sql\n08_add-footprint.down.sql\n08_add-footprint.up.sql\n09_add-job-cache.down.sql\n09_add-job-cache.up.sql\n10_node-table.down.sql\n10_node-table.up.sql","is_error":false}]},"uuid":"63bb6275-2580-4e4b-af67-e02a779197e8","timestamp":"2026-03-11T04:41:58.457Z","toolUseResult":{"stdout":"01_init-schema.down.sql\n01_init-schema.up.sql\n02_add-index.down.sql\n02_add-index.up.sql\n03_add-userprojects.down.sql\n03_add-userprojects.up.sql\n04_add-constraints.down.sql\n04_add-constraints.up.sql\n05_extend-tags.down.sql\n05_extend-tags.up.sql\n06_change-config.down.sql\n06_change-config.up.sql\n07_fix-tag-id.down.sql\n07_fix-tag-id.up.sql\n08_add-footprint.down.sql\n08_add-footprint.up.sql\n09_add-job-cache.down.sql\n09_add-job-cache.up.sql\n10_node-table.down.sql\n10_node-table.up.sql","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"f87cb0d2-af56-411c-ab61-194ec409a877"} +{"parentUuid":"63bb6275-2580-4e4b-af67-e02a779197e8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GTjQ5R3dXQ6w8EfwCpYc2L","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EqACCkYICxgCKkD8C3cwgVl15/o06O5ghNKLAGdu97Ct+wlxdyIYUUMhn9BWxLu92LePmFTgpb3JaMQFxobCOKyWH7GHmyv20d92EgzOppkLex2Nvlzc/PYaDKdFAsHkeW6cl2MN1CIwd+BzkGGA1xecL23AVx9g951xVkJ+zDPBIXriTdLcoiFNUEZ2/kTs++RfS4qyPkSyKocB33RxsdqmAS82OITVlV9NR6ouY1vrA9V06EMBYRFtUEbYV9CU3V2inBy/iKkPspyEEKCn7Szk8QdBq1W44EYz3vINvQiXSUrmW86wCVaWP/x+rAwONQWbktdfqbe8pOar2mRXqzB+LsK9rtmMYsBoYIRi6FS2SdH4Y6BWP17OEO9xRJB4eF+lGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3188,"cache_read_input_tokens":18025,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3188},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgNUMT3z72Rb7Jq5RX1","type":"assistant","uuid":"666d6dab-34ba-4c02-a6c0-30651e05b36b","timestamp":"2026-03-11T04:42:01.832Z"} +{"parentUuid":"666d6dab-34ba-4c02-a6c0-30651e05b36b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GTjQ5R3dXQ6w8EfwCpYc2L","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the migration files that created the indexes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3188,"cache_read_input_tokens":18025,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3188},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgNUMT3z72Rb7Jq5RX1","type":"assistant","uuid":"9b32a24b-46b1-4160-93e6-40382a57c344","timestamp":"2026-03-11T04:42:02.308Z"} +{"parentUuid":"9b32a24b-46b1-4160-93e6-40382a57c344","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GTjQ5R3dXQ6w8EfwCpYc2L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G44oyBjeR9TnDf4DRySyHM","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3188,"cache_read_input_tokens":18025,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3188},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgNUMT3z72Rb7Jq5RX1","type":"assistant","uuid":"674f806b-f382-4d50-b5b0-802ee7e826be","timestamp":"2026-03-11T04:42:03.288Z"} +{"parentUuid":"674f806b-f382-4d50-b5b0-802ee7e826be","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01G44oyBjeR9TnDf4DRySyHM","toolUseID":"toolu_01G44oyBjeR9TnDf4DRySyHM","timestamp":"2026-03-11T04:42:03.307Z","uuid":"f7e00db0-6b76-48c2-bbe4-d72e78071033"} +{"parentUuid":"674f806b-f382-4d50-b5b0-802ee7e826be","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G44oyBjeR9TnDf4DRySyHM","type":"tool_result","content":" 1→CREATE TABLE \"job_cache\" (\n 2→ id INTEGER PRIMARY KEY,\n 3→ job_id BIGINT NOT NULL,\n 4→ cluster VARCHAR(255) NOT NULL,\n 5→ subcluster VARCHAR(255) NOT NULL,\n 6→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 7→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 8→ hpc_user VARCHAR(255) NOT NULL,\n 9→ project VARCHAR(255) NOT NULL,\n 10→ cluster_partition VARCHAR(255),\n 11→ array_job_id BIGINT,\n 12→ duration INT NOT NULL,\n 13→ walltime INT NOT NULL,\n 14→ job_state VARCHAR(255) NOT NULL\n 15→ CHECK (job_state IN (\n 16→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 17→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 18→ 'preempted', 'running', 'suspended', 'timeout'\n 19→ )),\n 20→ meta_data TEXT, -- JSON\n 21→ resources TEXT NOT NULL, -- JSON\n 22→ num_nodes INT NOT NULL,\n 23→ num_hwthreads INT,\n 24→ num_acc INT,\n 25→ smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n 26→ shared TEXT NOT NULL\n 27→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 28→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 29→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 30→ energy REAL NOT NULL DEFAULT 0.0,\n 31→ energy_footprint TEXT DEFAULT NULL,\n 32→ footprint TEXT DEFAULT NULL,\n 33→ UNIQUE (job_id, cluster, start_time)\n 34→);\n 35→\n 36→CREATE TABLE \"job_new\" (\n 37→ id INTEGER PRIMARY KEY,\n 38→ job_id BIGINT NOT NULL,\n 39→ cluster TEXT NOT NULL,\n 40→ subcluster TEXT NOT NULL,\n 41→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 42→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 43→ hpc_user TEXT NOT NULL,\n 44→ project TEXT NOT NULL,\n 45→ cluster_partition TEXT,\n 46→ array_job_id BIGINT,\n 47→ duration INT NOT NULL,\n 48→ walltime INT NOT NULL,\n 49→ job_state TEXT NOT NULL\n 50→ CHECK (job_state IN (\n 51→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 52→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 53→ 'preempted', 'running', 'suspended', 'timeout'\n 54→ )),\n 55→ meta_data TEXT, -- JSON\n 56→ resources TEXT NOT NULL, -- JSON\n 57→ num_nodes INT NOT NULL,\n 58→ num_hwthreads INT,\n 59→ num_acc INT,\n 60→ smt INT NOT NULL DEFAULT 1,\n 61→ shared TEXT NOT NULL\n 62→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 63→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 64→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 65→ energy REAL NOT NULL DEFAULT 0.0,\n 66→ energy_footprint TEXT DEFAULT NULL,\n 67→ footprint TEXT DEFAULT NULL,\n 68→ UNIQUE (job_id, cluster, start_time)\n 69→);\n 70→\n 71→\n 72→CREATE TABLE IF NOT EXISTS lookup_exclusive (\n 73→ id INTEGER PRIMARY KEY,\n 74→ name TEXT NOT NULL UNIQUE\n 75→);\n 76→\n 77→INSERT INTO lookup_exclusive (id, name) VALUES\n 78→(0, 'multi_user'),\n 79→(1, 'none'),\n 80→(2, 'single_user');\n 81→\n 82→INSERT INTO job_new (\n 83→ id, job_id, cluster, subcluster, submit_time, start_time, hpc_user, project,\n 84→ cluster_partition, array_job_id, duration, walltime, job_state, meta_data, resources,\n 85→ num_nodes, num_hwthreads, num_acc, smt, shared, monitoring_status, energy,\n 86→ energy_footprint, footprint\n 87→) SELECT\n 88→ id,\n 89→ job_id,\n 90→ cluster,\n 91→ subcluster,\n 92→ 0,\n 93→ start_time,\n 94→ hpc_user,\n 95→ project,\n 96→ cluster_partition,\n 97→ array_job_id,\n 98→ duration,\n 99→ walltime,\n 100→ job_state,\n 101→ meta_data,\n 102→ resources,\n 103→ num_nodes,\n 104→ num_hwthreads,\n 105→ num_acc,\n 106→ smt,\n 107→ (\n 108→ SELECT name FROM lookup_exclusive\n 109→ WHERE id = job.exclusive\n 110→ ),\n 111→ monitoring_status,\n 112→ energy,\n 113→ energy_footprint,\n 114→ footprint\n 115→FROM job;\n 116→\n 117→DROP TABLE lookup_exclusive;\n 118→DROP TABLE job; -- Deletes All Existing 'job' Indices; Recreate after Renaming\n 119→ALTER TABLE job_new RENAME TO job;\n 120→\n 121→-- Recreate Indices from 08_add-footprint; include new 'shared' column\n 122→-- Cluster Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 125→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 126→-- Cluster Filter Sorting\n 127→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 128→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 129→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 130→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 131→\n 132→-- Cluster Time Filter Sorting\n 133→CREATE INDEX IF NOT EXISTS jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\n 134→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n 135→\n 136→-- Cluster+Partition Filter\n 137→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_user ON job (cluster, cluster_partition, hpc_user);\n 138→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, cluster_partition, project);\n 139→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 140→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared);\n 141→\n 142→-- Cluster+Partition Filter Sorting\n 143→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 144→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 145→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 146→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 147→\n 148→-- Cluster+Partition Time Filter Sorting\n 149→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time);\n 150→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration);\n 151→\n 152→-- Cluster+JobState Filter\n 153→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 154→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 155→-- Cluster+JobState Filter Sorting\n 156→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 157→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 158→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 159→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 160→\n 161→-- Cluster+JobState Time Filter Sorting\n 162→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\n 163→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n 164→\n 165→-- Cluster+Shared Filter\n 166→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user);\n 167→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project);\n 168→-- Cluster+Shared Filter Sorting\n 169→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\n 170→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\n 171→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\n 172→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n 173→\n 174→-- Cluster+Shared Time Filter Sorting\n 175→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration);\n 176→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time);\n 177→\n 178→-- User Filter\n 179→-- User Filter Sorting\n 180→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 181→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 182→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 183→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 184→\n 185→-- Cluster+Shared Time Filter Sorting\n 186→CREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\n 187→CREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time);\n 188→\n 189→-- Project Filter\n 190→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 191→-- Project Filter Sorting\n 192→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 193→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 194→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 195→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 196→\n 197→-- Cluster+Shared Time Filter Sorting\n 198→CREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration);\n 199→CREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, duration, start_time);\n 200→\n 201→-- JobState Filter\n 202→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 203→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 204→-- JobState Filter Sorting\n 205→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 206→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 207→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 208→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 209→\n 210→-- Cluster+Shared Time Filter Sorting\n 211→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration);\n 212→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n 213→\n 214→-- Shared Filter\n 215→CREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user);\n 216→CREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project);\n 217→-- Shared Filter Sorting\n 218→CREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\n 219→CREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\n 220→CREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\n 221→CREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n 222→\n 223→-- Cluster+Shared Time Filter Sorting\n 224→CREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration);\n 225→CREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, duration, start_time);\n 226→\n 227→-- ArrayJob Filter\n 228→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 229→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 230→\n 231→-- Single filters with default starttime sorting\n 232→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 233→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 234→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 235→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 236→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 237→\n 238→-- Single filters with duration sorting\n 239→CREATE INDEX IF NOT EXISTS jobs_starttime_duration ON job (start_time, duration);\n 240→CREATE INDEX IF NOT EXISTS jobs_numnodes_duration ON job (num_nodes, duration);\n 241→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_duration ON job (num_hwthreads, duration);\n 242→CREATE INDEX IF NOT EXISTS jobs_numacc_duration ON job (num_acc, duration);\n 243→CREATE INDEX IF NOT EXISTS jobs_energy_duration ON job (energy, duration);\n 244→\n 245→-- Backup Indices For High Variety Columns\n 246→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 247→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 248→\n 249→-- Notes:\n 250→-- Cluster+Partition+Jobstate Filter: Tested -> Full Array Of Combinations non-required\n 251→-- Cluster+JobState+Shared Filter: Tested -> No further timing improvement\n 252→-- JobState+Shared Filter: Tested -> No further timing improvement\n 253→\n 254→-- Optimize DB index usage\n 255→PRAGMA optimize;\n 256→\n 257→-- Optimize DB size: https://sqlite.org/lang_vacuum.html \n 258→-- Not allowed within a migration transaction; Keep command here for documentation and recommendation\n 259→-- Command: 'VACUUM;'"}]},"uuid":"1bbbb7f7-605b-4f2e-aa7a-f19b644c956c","timestamp":"2026-03-11T04:42:03.307Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql","content":"CREATE TABLE \"job_cache\" (\n id INTEGER PRIMARY KEY,\n job_id BIGINT NOT NULL,\n cluster VARCHAR(255) NOT NULL,\n subcluster VARCHAR(255) NOT NULL,\n submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n hpc_user VARCHAR(255) NOT NULL,\n project VARCHAR(255) NOT NULL,\n cluster_partition VARCHAR(255),\n array_job_id BIGINT,\n duration INT NOT NULL,\n walltime INT NOT NULL,\n job_state VARCHAR(255) NOT NULL\n CHECK (job_state IN (\n 'boot_fail', 'cancelled', 'completed', 'deadline',\n 'failed', 'node_fail', 'out_of_memory', 'pending',\n 'preempted', 'running', 'suspended', 'timeout'\n )),\n meta_data TEXT, -- JSON\n resources TEXT NOT NULL, -- JSON\n num_nodes INT NOT NULL,\n num_hwthreads INT,\n num_acc INT,\n smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n shared TEXT NOT NULL\n CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n monitoring_status TINYINT NOT NULL DEFAULT 1\n CHECK (monitoring_status IN (0, 1, 2, 3)),\n energy REAL NOT NULL DEFAULT 0.0,\n energy_footprint TEXT DEFAULT NULL,\n footprint TEXT DEFAULT NULL,\n UNIQUE (job_id, cluster, start_time)\n);\n\nCREATE TABLE \"job_new\" (\n id INTEGER PRIMARY KEY,\n job_id BIGINT NOT NULL,\n cluster TEXT NOT NULL,\n subcluster TEXT NOT NULL,\n submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n hpc_user TEXT NOT NULL,\n project TEXT NOT NULL,\n cluster_partition TEXT,\n array_job_id BIGINT,\n duration INT NOT NULL,\n walltime INT NOT NULL,\n job_state TEXT NOT NULL\n CHECK (job_state IN (\n 'boot_fail', 'cancelled', 'completed', 'deadline',\n 'failed', 'node_fail', 'out_of_memory', 'pending',\n 'preempted', 'running', 'suspended', 'timeout'\n )),\n meta_data TEXT, -- JSON\n resources TEXT NOT NULL, -- JSON\n num_nodes INT NOT NULL,\n num_hwthreads INT,\n num_acc INT,\n smt INT NOT NULL DEFAULT 1,\n shared TEXT NOT NULL\n CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n monitoring_status TINYINT NOT NULL DEFAULT 1\n CHECK (monitoring_status IN (0, 1, 2, 3)),\n energy REAL NOT NULL DEFAULT 0.0,\n energy_footprint TEXT DEFAULT NULL,\n footprint TEXT DEFAULT NULL,\n UNIQUE (job_id, cluster, start_time)\n);\n\n\nCREATE TABLE IF NOT EXISTS lookup_exclusive (\n id INTEGER PRIMARY KEY,\n name TEXT NOT NULL UNIQUE\n);\n\nINSERT INTO lookup_exclusive (id, name) VALUES\n(0, 'multi_user'),\n(1, 'none'),\n(2, 'single_user');\n\nINSERT INTO job_new (\n id, job_id, cluster, subcluster, submit_time, start_time, hpc_user, project,\n cluster_partition, array_job_id, duration, walltime, job_state, meta_data, resources,\n num_nodes, num_hwthreads, num_acc, smt, shared, monitoring_status, energy,\n energy_footprint, footprint\n) SELECT\n id,\n job_id,\n cluster,\n subcluster,\n 0,\n start_time,\n hpc_user,\n project,\n cluster_partition,\n array_job_id,\n duration,\n walltime,\n job_state,\n meta_data,\n resources,\n num_nodes,\n num_hwthreads,\n num_acc,\n smt,\n (\n SELECT name FROM lookup_exclusive\n WHERE id = job.exclusive\n ),\n monitoring_status,\n energy,\n energy_footprint,\n footprint\nFROM job;\n\nDROP TABLE lookup_exclusive;\nDROP TABLE job; -- Deletes All Existing 'job' Indices; Recreate after Renaming\nALTER TABLE job_new RENAME TO job;\n\n-- Recreate Indices from 08_add-footprint; include new 'shared' column\n-- Cluster Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n-- Cluster Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n\n-- Cluster Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n\n-- Cluster+Partition Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_user ON job (cluster, cluster_partition, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, cluster_partition, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared);\n\n-- Cluster+Partition Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n\n-- Cluster+Partition Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration);\n\n-- Cluster+JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n-- Cluster+JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n\n-- Cluster+JobState Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n\n-- Cluster+Shared Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project);\n-- Cluster+Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time);\n\n-- User Filter\n-- User Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time);\n\n-- Project Filter\nCREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n-- Project Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, duration, start_time);\n\n-- JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n-- JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n\n-- Shared Filter\nCREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project);\n-- Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, duration, start_time);\n\n-- ArrayJob Filter\nCREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n\n-- Single filters with default starttime sorting\nCREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job 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INDEX IF EXISTS job_by_user;\n 3→DROP INDEX IF EXISTS job_by_starttime;\n 4→DROP INDEX IF EXISTS job_by_job_id;\n 5→DROP INDEX IF EXISTS job_list;\n 6→DROP INDEX IF EXISTS job_list_user;\n 7→DROP INDEX IF EXISTS job_list_users;\n 8→DROP INDEX IF EXISTS job_list_users_start;\n 9→\n 10→ALTER TABLE job ADD COLUMN energy REAL NOT NULL DEFAULT 0.0;\n 11→ALTER TABLE job ADD COLUMN energy_footprint TEXT DEFAULT NULL;\n 12→\n 13→ALTER TABLE job ADD COLUMN footprint TEXT DEFAULT NULL;\n 14→ALTER TABLE tag ADD COLUMN tag_scope TEXT NOT NULL DEFAULT 'global';\n 15→\n 16→-- Do not use reserved keywords anymore\n 17→ALTER TABLE \"user\" RENAME TO hpc_user;\n 18→ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n 19→ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n 20→\n 21→UPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\n 22→UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\n 23→UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\n 24→UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\n 25→UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\n 26→UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\n 27→UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\n 28→UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\n 29→UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n 30→\n 31→ALTER TABLE job DROP flops_any_avg;\n 32→ALTER TABLE job DROP mem_bw_avg;\n 33→ALTER TABLE job DROP mem_used_max;\n 34→ALTER TABLE job DROP load_avg;\n 35→ALTER TABLE job DROP net_bw_avg;\n 36→ALTER TABLE job DROP net_data_vol_total;\n 37→ALTER TABLE job DROP file_bw_avg;\n 38→ALTER TABLE job DROP file_data_vol_total;\n 39→\n 40→-- Indices for: Single filters, combined filters, sorting, sorting with filters\n 41→-- Cluster Filter\n 42→CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\n 43→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 44→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 45→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 46→-- Cluster Filter Sorting\n 47→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\n 48→CREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\n 49→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 51→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 52→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 53→\n 54→-- Cluster+Partition Filter\n 55→CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n 56→-- Cluster+Partition Filter Sorting\n 57→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n 58→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n 59→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 60→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 61→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 62→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 63→\n 64→-- Cluster+Partition+Jobstate Filter\n 65→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n 67→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n 68→-- Cluster+Partition+Jobstate Filter Sorting\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n 70→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n 71→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n 72→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n 73→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n 74→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n 75→\n 76→-- Cluster+JobState Filter\n 77→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\n 78→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 79→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 80→-- Cluster+JobState Filter Sorting\n 81→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\n 83→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 84→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 86→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 87→\n 88→-- User Filter\n 89→CREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n 90→-- User Filter Sorting\n 91→CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\n 92→CREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\n 93→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 94→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 95→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 96→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 97→\n 98→-- Project Filter\n 99→CREATE INDEX IF NOT EXISTS jobs_project ON job (project);\n 100→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 101→-- Project Filter Sorting\n 102→CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\n 103→CREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\n 104→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 105→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 106→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 107→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 108→\n 109→-- JobState Filter\n 110→CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\n 111→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 112→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 113→CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n 114→-- JobState Filter Sorting\n 115→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\n 116→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\n 117→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 118→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 119→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 120→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 121→\n 122→-- ArrayJob Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 125→\n 126→-- Sorting without active filters\n 127→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 128→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 129→CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\n 130→CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\n 131→CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\n 132→CREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n 133→\n 134→-- Single filters with default starttime sorting\n 135→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 136→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 137→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 138→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 139→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 140→\n 141→-- Optimize DB index usage\n 142→PRAGMA optimize;\n 143→"}]},"uuid":"fc1c1a1b-7b49-42e7-8124-733ccbd17e0e","timestamp":"2026-03-11T04:42:03.895Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/08_add-footprint.up.sql","content":"DROP INDEX IF EXISTS job_stats;\nDROP INDEX IF EXISTS job_by_user;\nDROP INDEX IF EXISTS job_by_starttime;\nDROP INDEX IF EXISTS job_by_job_id;\nDROP INDEX IF EXISTS job_list;\nDROP INDEX IF EXISTS job_list_user;\nDROP INDEX IF EXISTS job_list_users;\nDROP INDEX IF EXISTS job_list_users_start;\n\nALTER TABLE job ADD COLUMN energy REAL NOT NULL DEFAULT 0.0;\nALTER TABLE job ADD COLUMN energy_footprint TEXT DEFAULT NULL;\n\nALTER TABLE job ADD COLUMN footprint TEXT DEFAULT NULL;\nALTER TABLE tag ADD COLUMN tag_scope TEXT NOT NULL DEFAULT 'global';\n\n-- Do not use reserved keywords anymore\nALTER TABLE \"user\" RENAME TO hpc_user;\nALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\nALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n\nUPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\nUPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\nUPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\nUPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\nUPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\nUPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\nUPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\nUPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\nUPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n\nALTER TABLE job DROP flops_any_avg;\nALTER TABLE job DROP mem_bw_avg;\nALTER TABLE job DROP mem_used_max;\nALTER TABLE job DROP load_avg;\nALTER TABLE job DROP net_bw_avg;\nALTER TABLE job DROP net_data_vol_total;\nALTER TABLE job DROP file_bw_avg;\nALTER TABLE job DROP file_data_vol_total;\n\n-- Indices for: Single filters, combined filters, sorting, sorting with filters\n-- Cluster Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\nCREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n-- Cluster Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n\n-- Cluster+Partition Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n-- Cluster+Partition Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n\n-- Cluster+Partition+Jobstate Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n-- Cluster+Partition+Jobstate Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n\n-- Cluster+JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n-- Cluster+JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n\n-- User Filter\nCREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n-- User Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\nCREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\nCREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n\n-- Project Filter\nCREATE INDEX IF NOT EXISTS jobs_project ON job (project);\nCREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n-- Project Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\nCREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\nCREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n\n-- JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n-- JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n\n-- ArrayJob Filter\nCREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n\n-- Sorting without active filters\nCREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\nCREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\nCREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\nCREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n\n-- Single filters with default starttime sorting\nCREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\nCREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n\n-- Optimize DB index usage\nPRAGMA optimize;\n","numLines":143,"startLine":1,"totalLines":143}},"sourceToolAssistantUUID":"ef4c3de1-d7cc-4440-ad3e-3b89d1dfacc6"} 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Let me create the three files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7552,"cache_read_input_tokens":21213,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7552},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgNsDd3cWiPLGFL2dWd","type":"assistant","uuid":"2dc8624e-8cc3-4be3-9db9-a02aeeecabc9","timestamp":"2026-03-11T04:42:41.356Z"} +{"type":"file-history-snapshot","messageId":"b548a35c-1a3a-428e-acce-c075dbd5a305","snapshot":{"messageId":"72c84a91-f5c7-4649-8e4d-289e01311184","trackedFileBackups":{"internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-11T04:43:11.711Z"}},"timestamp":"2026-03-11T04:41:52.797Z"},"isSnapshotUpdate":true} +{"parentUuid":"2dc8624e-8cc3-4be3-9db9-a02aeeecabc9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_014j3DsxNbNB4KWFV71Fwi3d","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QfT45VvZBUTYV41AyJrFSZ","name":"Write","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql","content":"-- Migration 11: Optimize job table indexes\n-- Reduces from ~78 indexes to 20 for better write performance,\n-- reduced disk usage, and more reliable query planner decisions.\n-- Requires ANALYZE to be run after migration (done automatically on startup).\n\n-- ============================================================\n-- Drop ALL existing job indexes (from migrations 08/09)\n-- sqlite_autoindex_job_1 (UNIQUE constraint) is kept automatically\n-- ============================================================\n\n-- Cluster Filter\nDROP INDEX IF EXISTS jobs_cluster_user;\nDROP INDEX IF EXISTS jobs_cluster_project;\nDROP INDEX IF EXISTS jobs_cluster_subcluster;\n-- Cluster Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_numacc;\nDROP INDEX IF EXISTS jobs_cluster_energy;\n-- Cluster Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_starttime_duration;\n\n-- Cluster+Partition Filter\nDROP INDEX IF EXISTS jobs_cluster_partition_user;\nDROP INDEX IF EXISTS jobs_cluster_partition_project;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate;\nDROP INDEX IF EXISTS jobs_cluster_partition_shared;\n-- Cluster+Partition Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_energy;\n-- Cluster+Partition Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_partition_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_starttime_duration;\n\n-- Cluster+JobState Filter\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n-- Cluster+JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_energy;\n-- Cluster+JobState Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_jobstate_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_duration_starttime;\n\n-- Cluster+Shared Filter\nDROP INDEX IF EXISTS jobs_cluster_shared_user;\nDROP INDEX IF EXISTS jobs_cluster_shared_project;\n-- Cluster+Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_shared_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_shared_numacc;\nDROP INDEX IF EXISTS jobs_cluster_shared_energy;\n-- Cluster+Shared Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_shared_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_shared_duration_starttime;\n\n-- User Filter Sorting\nDROP INDEX IF EXISTS jobs_user_numnodes;\nDROP INDEX IF EXISTS jobs_user_numhwthreads;\nDROP INDEX IF EXISTS jobs_user_numacc;\nDROP INDEX IF EXISTS jobs_user_energy;\n-- User Time Filter Sorting\nDROP INDEX IF EXISTS jobs_user_starttime_duration;\nDROP INDEX IF EXISTS jobs_user_duration_starttime;\n\n-- Project Filter\nDROP INDEX IF EXISTS jobs_project_user;\n-- Project Filter Sorting\nDROP INDEX IF EXISTS jobs_project_numnodes;\nDROP INDEX IF EXISTS jobs_project_numhwthreads;\nDROP INDEX IF EXISTS jobs_project_numacc;\nDROP INDEX IF EXISTS jobs_project_energy;\n-- Project Time Filter Sorting\nDROP INDEX IF EXISTS jobs_project_starttime_duration;\nDROP INDEX IF EXISTS jobs_project_duration_starttime;\n\n-- JobState Filter\nDROP INDEX IF EXISTS jobs_jobstate_user;\nDROP INDEX IF EXISTS jobs_jobstate_project;\n-- JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_jobstate_energy;\n-- JobState Time Filter Sorting\nDROP INDEX IF EXISTS jobs_jobstate_starttime_duration;\nDROP INDEX IF EXISTS jobs_jobstate_duration_starttime;\n\n-- Shared Filter\nDROP INDEX IF EXISTS jobs_shared_user;\nDROP INDEX IF EXISTS jobs_shared_project;\n-- Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_shared_numnodes;\nDROP INDEX IF EXISTS jobs_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_shared_numacc;\nDROP INDEX IF EXISTS jobs_shared_energy;\n-- Shared Time Filter Sorting\nDROP INDEX IF EXISTS jobs_shared_starttime_duration;\nDROP INDEX IF EXISTS jobs_shared_duration_starttime;\n\n-- ArrayJob Filter\nDROP INDEX IF EXISTS jobs_arrayjobid_starttime;\nDROP INDEX IF EXISTS jobs_cluster_arrayjobid_starttime;\n\n-- Single filters with default starttime sorting\nDROP INDEX IF EXISTS jobs_duration_starttime;\nDROP INDEX IF EXISTS jobs_numnodes_starttime;\nDROP INDEX IF EXISTS jobs_numhwthreads_starttime;\nDROP INDEX IF EXISTS jobs_numacc_starttime;\nDROP INDEX IF EXISTS jobs_energy_starttime;\n\n-- Single filters with duration sorting\nDROP INDEX IF EXISTS jobs_starttime_duration;\nDROP INDEX IF EXISTS jobs_numnodes_duration;\nDROP INDEX IF EXISTS jobs_numhwthreads_duration;\nDROP INDEX IF EXISTS jobs_numacc_duration;\nDROP INDEX IF EXISTS jobs_energy_duration;\n\n-- Backup Indices\nDROP INDEX IF EXISTS jobs_starttime;\nDROP INDEX IF EXISTS jobs_duration;\n\n-- Legacy indexes from migration 08 (may exist on older DBs)\nDROP INDEX IF EXISTS jobs_cluster;\nDROP INDEX IF EXISTS jobs_cluster_starttime;\nDROP INDEX IF EXISTS jobs_cluster_duration;\nDROP INDEX IF EXISTS jobs_cluster_partition;\nDROP INDEX IF EXISTS jobs_cluster_partition_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_duration;\nDROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_energy;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_project;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_duration;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_energy;\nDROP INDEX IF EXISTS jobs_cluster_jobstate;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_starttime;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_duration;\nDROP INDEX IF EXISTS jobs_user;\nDROP INDEX IF EXISTS jobs_user_starttime;\nDROP INDEX IF EXISTS jobs_user_duration;\nDROP INDEX IF EXISTS jobs_project;\nDROP INDEX IF EXISTS jobs_project_starttime;\nDROP INDEX IF EXISTS jobs_project_duration;\nDROP INDEX IF EXISTS jobs_jobstate;\nDROP INDEX IF EXISTS jobs_jobstate_cluster;\nDROP INDEX IF EXISTS jobs_jobstate_starttime;\nDROP INDEX IF EXISTS jobs_jobstate_duration;\nDROP INDEX IF EXISTS jobs_numnodes;\nDROP INDEX IF EXISTS jobs_numhwthreads;\nDROP INDEX IF EXISTS jobs_numacc;\nDROP INDEX IF EXISTS jobs_energy;\n\n-- ============================================================\n-- Create optimized set of 20 indexes\n-- ============================================================\n\n-- GROUP 1: Global sort (1 index)\n-- Default sort for unfiltered/multi-state IN queries, time range, delete-before\nCREATE INDEX jobs_starttime ON job (start_time);\n\n-- GROUP 2: Cluster-prefixed (8 indexes)\n-- Cluster + default sort, concurrent jobs, time range within cluster\nCREATE INDEX jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n-- Cluster + sort by duration\nCREATE INDEX jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\n-- COVERING for cluster+state aggregation; running jobs (cluster, state, duration>?)\nCREATE INDEX jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n-- Cluster+state+sort start_time (single state equality)\nCREATE INDEX jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\n-- COVERING for GROUP BY user with cluster filter\nCREATE INDEX jobs_cluster_user ON job (cluster, hpc_user);\n-- GROUP BY project with cluster filter\nCREATE INDEX jobs_cluster_project ON job (cluster, project);\n-- GROUP BY subcluster with cluster filter\nCREATE INDEX jobs_cluster_subcluster ON job (cluster, subcluster);\n-- Cluster + sort by num_nodes (state filtered per-row, fast with LIMIT)\nCREATE INDEX jobs_cluster_numnodes ON job (cluster, num_nodes);\n\n-- GROUP 3: User-prefixed (1 index)\n-- Security filter (user role) + default sort\nCREATE INDEX jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\n\n-- GROUP 4: Project-prefixed (1 index)\n-- Security filter (manager role) + default sort\nCREATE INDEX jobs_project_starttime_duration ON job (project, start_time, duration);\n\n-- GROUP 5: JobState-prefixed (3 indexes)\n-- State + project filter (for manager security within state query)\nCREATE INDEX jobs_jobstate_project ON job (job_state, project);\n-- State + user filter/aggregation\nCREATE INDEX jobs_jobstate_user ON job (job_state, hpc_user);\n-- COVERING for non-running jobs scan, state + sort duration\nCREATE INDEX jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n\n-- GROUP 6: Rare filters (1 index)\n-- Array job lookup\nCREATE INDEX jobs_arrayjobid 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/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql"}]},"uuid":"c7669926-e260-41b4-aa22-4fa3a9c7ad21","timestamp":"2026-03-11T04:43:11.712Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql","content":"-- Migration 11: Optimize job table indexes\n-- Reduces from ~78 indexes to 20 for better write performance,\n-- reduced disk usage, and more reliable query planner decisions.\n-- Requires ANALYZE to be run after migration (done automatically on startup).\n\n-- ============================================================\n-- Drop ALL existing job indexes (from migrations 08/09)\n-- sqlite_autoindex_job_1 (UNIQUE constraint) is kept automatically\n-- ============================================================\n\n-- Cluster Filter\nDROP INDEX IF EXISTS jobs_cluster_user;\nDROP INDEX IF EXISTS jobs_cluster_project;\nDROP INDEX IF EXISTS jobs_cluster_subcluster;\n-- Cluster Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_numacc;\nDROP INDEX IF EXISTS jobs_cluster_energy;\n-- Cluster Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_starttime_duration;\n\n-- Cluster+Partition Filter\nDROP INDEX IF EXISTS jobs_cluster_partition_user;\nDROP INDEX IF EXISTS jobs_cluster_partition_project;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate;\nDROP INDEX IF EXISTS jobs_cluster_partition_shared;\n-- Cluster+Partition Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_energy;\n-- Cluster+Partition Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_partition_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_starttime_duration;\n\n-- Cluster+JobState Filter\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n-- Cluster+JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_energy;\n-- Cluster+JobState Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_jobstate_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_duration_starttime;\n\n-- Cluster+Shared Filter\nDROP INDEX IF EXISTS jobs_cluster_shared_user;\nDROP INDEX IF EXISTS jobs_cluster_shared_project;\n-- Cluster+Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_shared_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_shared_numacc;\nDROP INDEX IF EXISTS jobs_cluster_shared_energy;\n-- Cluster+Shared Time Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_shared_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_shared_duration_starttime;\n\n-- User Filter Sorting\nDROP INDEX IF EXISTS jobs_user_numnodes;\nDROP INDEX IF EXISTS jobs_user_numhwthreads;\nDROP INDEX IF EXISTS jobs_user_numacc;\nDROP INDEX IF EXISTS jobs_user_energy;\n-- User Time Filter Sorting\nDROP INDEX IF EXISTS jobs_user_starttime_duration;\nDROP INDEX IF EXISTS jobs_user_duration_starttime;\n\n-- Project Filter\nDROP INDEX IF EXISTS jobs_project_user;\n-- Project Filter Sorting\nDROP INDEX IF EXISTS jobs_project_numnodes;\nDROP INDEX IF EXISTS jobs_project_numhwthreads;\nDROP INDEX IF EXISTS jobs_project_numacc;\nDROP INDEX IF EXISTS jobs_project_energy;\n-- Project Time Filter Sorting\nDROP INDEX IF EXISTS jobs_project_starttime_duration;\nDROP INDEX IF EXISTS jobs_project_duration_starttime;\n\n-- JobState Filter\nDROP INDEX IF EXISTS jobs_jobstate_user;\nDROP INDEX IF EXISTS jobs_jobstate_project;\n-- JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_jobstate_energy;\n-- JobState Time Filter Sorting\nDROP INDEX IF EXISTS jobs_jobstate_starttime_duration;\nDROP INDEX IF EXISTS jobs_jobstate_duration_starttime;\n\n-- Shared Filter\nDROP INDEX IF EXISTS jobs_shared_user;\nDROP INDEX IF EXISTS jobs_shared_project;\n-- Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_shared_numnodes;\nDROP INDEX IF EXISTS jobs_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_shared_numacc;\nDROP INDEX IF EXISTS jobs_shared_energy;\n-- Shared Time Filter Sorting\nDROP INDEX IF EXISTS jobs_shared_starttime_duration;\nDROP INDEX IF EXISTS jobs_shared_duration_starttime;\n\n-- ArrayJob Filter\nDROP INDEX IF EXISTS jobs_arrayjobid_starttime;\nDROP INDEX IF EXISTS jobs_cluster_arrayjobid_starttime;\n\n-- Single filters with default starttime sorting\nDROP INDEX IF EXISTS jobs_duration_starttime;\nDROP INDEX IF EXISTS jobs_numnodes_starttime;\nDROP INDEX IF EXISTS jobs_numhwthreads_starttime;\nDROP INDEX IF EXISTS jobs_numacc_starttime;\nDROP INDEX IF EXISTS jobs_energy_starttime;\n\n-- Single filters with duration sorting\nDROP INDEX IF EXISTS jobs_starttime_duration;\nDROP INDEX IF EXISTS jobs_numnodes_duration;\nDROP INDEX IF EXISTS jobs_numhwthreads_duration;\nDROP INDEX IF EXISTS jobs_numacc_duration;\nDROP INDEX IF EXISTS jobs_energy_duration;\n\n-- Backup Indices\nDROP INDEX IF EXISTS jobs_starttime;\nDROP INDEX IF EXISTS jobs_duration;\n\n-- Legacy indexes from migration 08 (may exist on older DBs)\nDROP INDEX IF EXISTS jobs_cluster;\nDROP INDEX IF EXISTS jobs_cluster_starttime;\nDROP INDEX IF EXISTS jobs_cluster_duration;\nDROP INDEX IF EXISTS jobs_cluster_partition;\nDROP INDEX IF EXISTS jobs_cluster_partition_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_duration;\nDROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_energy;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_project;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_duration;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate_energy;\nDROP INDEX IF EXISTS jobs_cluster_jobstate;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_starttime;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_duration;\nDROP INDEX IF EXISTS jobs_user;\nDROP INDEX IF EXISTS jobs_user_starttime;\nDROP INDEX IF EXISTS jobs_user_duration;\nDROP INDEX IF EXISTS jobs_project;\nDROP INDEX IF EXISTS jobs_project_starttime;\nDROP INDEX IF EXISTS jobs_project_duration;\nDROP INDEX IF EXISTS jobs_jobstate;\nDROP INDEX IF EXISTS jobs_jobstate_cluster;\nDROP INDEX IF EXISTS jobs_jobstate_starttime;\nDROP INDEX IF EXISTS jobs_jobstate_duration;\nDROP INDEX IF EXISTS jobs_numnodes;\nDROP INDEX IF EXISTS jobs_numhwthreads;\nDROP INDEX IF EXISTS jobs_numacc;\nDROP INDEX IF EXISTS jobs_energy;\n\n-- ============================================================\n-- Create optimized set of 20 indexes\n-- ============================================================\n\n-- GROUP 1: Global sort (1 index)\n-- Default sort for unfiltered/multi-state IN queries, time range, delete-before\nCREATE INDEX jobs_starttime ON job (start_time);\n\n-- GROUP 2: Cluster-prefixed (8 indexes)\n-- Cluster + default sort, concurrent jobs, time range within cluster\nCREATE INDEX jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n-- Cluster + sort by duration\nCREATE INDEX jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\n-- COVERING for cluster+state aggregation; running jobs (cluster, state, duration>?)\nCREATE INDEX jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n-- Cluster+state+sort start_time (single state equality)\nCREATE INDEX jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\n-- COVERING for GROUP BY user with cluster filter\nCREATE INDEX jobs_cluster_user ON job (cluster, hpc_user);\n-- GROUP BY project with cluster filter\nCREATE INDEX jobs_cluster_project ON job (cluster, project);\n-- GROUP BY subcluster with cluster filter\nCREATE INDEX jobs_cluster_subcluster ON job (cluster, subcluster);\n-- Cluster + sort by num_nodes (state filtered per-row, fast with LIMIT)\nCREATE INDEX jobs_cluster_numnodes ON job (cluster, num_nodes);\n\n-- GROUP 3: User-prefixed (1 index)\n-- Security filter (user role) + default sort\nCREATE INDEX jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\n\n-- GROUP 4: Project-prefixed (1 index)\n-- Security filter (manager role) + default sort\nCREATE INDEX jobs_project_starttime_duration ON job (project, start_time, duration);\n\n-- GROUP 5: JobState-prefixed (3 indexes)\n-- State + project filter (for manager security within state query)\nCREATE INDEX jobs_jobstate_project ON job (job_state, project);\n-- State + user filter/aggregation\nCREATE INDEX jobs_jobstate_user ON job (job_state, hpc_user);\n-- COVERING for non-running jobs scan, state + sort duration\nCREATE INDEX jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n\n-- GROUP 6: Rare filters (1 index)\n-- Array job lookup\nCREATE INDEX jobs_arrayjobid ON job (array_job_id);\n\n-- GROUP 7: Secondary sort columns (5 indexes)\nCREATE INDEX jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\nCREATE INDEX jobs_cluster_numacc ON job (cluster, num_acc);\nCREATE INDEX 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jobs_cluster_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_user;\nDROP INDEX IF EXISTS jobs_cluster_project;\nDROP INDEX IF EXISTS jobs_cluster_subcluster;\nDROP INDEX IF EXISTS jobs_cluster_numnodes;\nDROP INDEX IF EXISTS jobs_user_starttime_duration;\nDROP INDEX IF EXISTS jobs_project_starttime_duration;\nDROP INDEX IF EXISTS jobs_jobstate_project;\nDROP INDEX IF EXISTS jobs_jobstate_user;\nDROP INDEX IF EXISTS jobs_jobstate_duration_starttime;\nDROP INDEX IF EXISTS jobs_arrayjobid;\nDROP INDEX IF EXISTS jobs_cluster_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_numacc;\nDROP INDEX IF EXISTS jobs_cluster_energy;\nDROP INDEX IF EXISTS jobs_cluster_partition_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate;\n\n-- ============================================================\n-- Recreate all indexes from migration 09\n-- ============================================================\n\n-- Cluster Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n-- Cluster Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n\n-- Cluster Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n\n-- Cluster+Partition Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_user ON job (cluster, cluster_partition, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, cluster_partition, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared);\n\n-- Cluster+Partition Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n\n-- Cluster+Partition Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration);\n\n-- Cluster+JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n-- Cluster+JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n\n-- Cluster+JobState Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n\n-- Cluster+Shared Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project);\n-- Cluster+Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time);\n\n-- User Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n\n-- User Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time);\n\n-- Project Filter\nCREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n-- Project Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n\n-- Project Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, duration, start_time);\n\n-- JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n-- JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n\n-- JobState Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n\n-- Shared Filter\nCREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project);\n-- Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n\n-- Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, duration, start_time);\n\n-- ArrayJob Filter\nCREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n\n-- Single filters with default starttime sorting\nCREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\nCREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n\n-- Single filters with duration sorting\nCREATE INDEX IF NOT EXISTS jobs_starttime_duration ON job (start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_numnodes_duration ON job (num_nodes, duration);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads_duration ON job (num_hwthreads, duration);\nCREATE INDEX IF NOT EXISTS jobs_numacc_duration ON job (num_acc, duration);\nCREATE INDEX IF NOT EXISTS jobs_energy_duration ON job (energy, duration);\n\n-- Backup Indices For High Variety Columns\nCREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\nCREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n\n-- Optimize DB index usage\nPRAGMA optimize;\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7552,"cache_read_input_tokens":21213,"output_tokens":7839,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7552,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvgNsDd3cWiPLGFL2dWd","type":"assistant","uuid":"b7aee6cb-8863-400c-8cb7-323191cdd8ea","timestamp":"2026-03-11T04:43:31.817Z"} 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/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql"}]},"uuid":"5f8c1151-8af1-4ffb-a35b-c1301758e847","timestamp":"2026-03-11T04:43:31.828Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql","content":"-- Migration 11 DOWN: Restore all indexes from migration 09\n-- Reverts the index optimization by dropping the 20 optimized indexes\n-- and recreating the original full set.\n\n-- ============================================================\n-- Drop optimized indexes\n-- ============================================================\n\nDROP INDEX IF EXISTS jobs_starttime;\nDROP INDEX IF EXISTS jobs_cluster_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_duration_starttime;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_starttime_duration;\nDROP INDEX IF EXISTS jobs_cluster_user;\nDROP INDEX IF EXISTS jobs_cluster_project;\nDROP INDEX IF EXISTS jobs_cluster_subcluster;\nDROP INDEX IF EXISTS jobs_cluster_numnodes;\nDROP INDEX IF EXISTS jobs_user_starttime_duration;\nDROP INDEX IF EXISTS jobs_project_starttime_duration;\nDROP INDEX IF EXISTS jobs_jobstate_project;\nDROP INDEX IF EXISTS jobs_jobstate_user;\nDROP INDEX IF EXISTS jobs_jobstate_duration_starttime;\nDROP INDEX IF EXISTS jobs_arrayjobid;\nDROP INDEX IF EXISTS jobs_cluster_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_numacc;\nDROP INDEX IF EXISTS jobs_cluster_energy;\nDROP INDEX IF EXISTS jobs_cluster_partition_starttime;\nDROP INDEX IF EXISTS jobs_cluster_partition_jobstate;\n\n-- ============================================================\n-- Recreate all indexes from migration 09\n-- ============================================================\n\n-- Cluster Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n-- Cluster Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n\n-- Cluster Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n\n-- Cluster+Partition Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_user ON job (cluster, cluster_partition, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, cluster_partition, project);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared);\n\n-- Cluster+Partition Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n\n-- Cluster+Partition Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration);\n\n-- Cluster+JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n-- Cluster+JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n\n-- Cluster+JobState Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n\n-- Cluster+Shared Filter\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project);\n-- Cluster+Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n\n-- Cluster+Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time);\n\n-- User Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n\n-- User Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time);\n\n-- Project Filter\nCREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n-- Project Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n\n-- Project Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, duration, start_time);\n\n-- JobState Filter\nCREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n-- JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n\n-- JobState Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n\n-- Shared Filter\nCREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user);\nCREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project);\n-- Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n\n-- Shared Time Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, duration, start_time);\n\n-- ArrayJob Filter\nCREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\nCREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n\n-- Single filters with default starttime sorting\nCREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\nCREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\nCREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n\n-- Single filters with duration sorting\nCREATE INDEX IF NOT EXISTS jobs_starttime_duration ON job (start_time, duration);\nCREATE INDEX IF NOT EXISTS jobs_numnodes_duration ON job (num_nodes, duration);\nCREATE INDEX IF NOT EXISTS jobs_numhwthreads_duration ON job (num_hwthreads, duration);\nCREATE INDEX IF NOT EXISTS jobs_numacc_duration ON job (num_acc, duration);\nCREATE INDEX IF NOT EXISTS jobs_energy_duration ON job (energy, duration);\n\n-- Backup Indices For High Variety Columns\nCREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\nCREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n\n-- Optimize DB index usage\nPRAGMA optimize;\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"b7aee6cb-8863-400c-8cb7-323191cdd8ea"} 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/Users/jan/prg/CC/cc-backend/internal/repository/migration.go has been updated successfully."}]},"uuid":"eaa7cbfc-6263-4855-88a4-faec88cce790","timestamp":"2026-03-11T04:43:37.057Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go","oldString":"// Version history:\n// - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10","newString":"// Version history:\n// - Version 11: Optimize job table indexes (reduce from ~78 to 20)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 11","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 repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":10,"newStart":21,"newLines":11,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","-// - Version 10: Current version","+// - Version 11: Optimize job table indexes (reduce from ~78 to 20)","+// - Version 10: Node table"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 10","+const Version uint = 11"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"16dce392-7960-417a-8318-28e4efa5dbdd"} +{"parentUuid":"eaa7cbfc-6263-4855-88a4-faec88cce790","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018wuzcXTvuChnM2C6J1RXdv","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles and tests pass."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":36693,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":382},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvgVjZhAEXbASMLGRrM8","type":"assistant","uuid":"09a6dd5f-03f4-48c3-8b83-d06eb375d27a","timestamp":"2026-03-11T04:43:39.831Z"} +{"parentUuid":"09a6dd5f-03f4-48c3-8b83-d06eb375d27a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018wuzcXTvuChnM2C6J1RXdv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EfcKB6MB88EDsfahfhMoVD","name":"Bash","input":{"command":"go build ./...","description":"Build all 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tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":130,"cache_read_input_tokens":37075,"output_tokens":110,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":130,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvgWQMKWucbci9wnzNSh","type":"assistant","uuid":"4845c36a-fe91-4aa5-b3b9-f47961d0ec48","timestamp":"2026-03-11T04:43:49.483Z"} +{"parentUuid":"4845c36a-fe91-4aa5-b3b9-f47961d0ec48","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E5AnNeoBvauhofCYqB51jB","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.136s","is_error":false}]},"uuid":"c062af58-872c-4e55-b46f-4aa9ca553a49","timestamp":"2026-03-11T04:43:51.724Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.136s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"4845c36a-fe91-4aa5-b3b9-f47961d0ec48"} +{"parentUuid":"c062af58-872c-4e55-b46f-4aa9ca553a49","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013jowU59Bfxz8NuM1i12hjy","type":"message","role":"assistant","content":[{"type":"text","text":"Build and tests pass. Here's a summary of what was done:\n\n**3 files changed:**\n\n1. **`migrations/sqlite3/11_optimize-indexes.up.sql`** — Drops all ~78 existing job indexes, then creates 20 optimized ones organized into 7 groups:\n - Global sort (`start_time`)\n - Cluster-prefixed (8 indexes for common cluster-filtered queries)\n - User-prefixed (1 index for user security filter)\n - Project-prefixed (1 index for manager security filter)\n - JobState-prefixed (3 indexes for state filtering/aggregation)\n - Rare filters (1 index for `array_job_id`)\n - Secondary sort columns (5 indexes for less-common sort orders)\n\n2. **`migrations/sqlite3/11_optimize-indexes.down.sql`** — Drops the 20 optimized indexes and recreates all original indexes from migration 09 for safe rollback.\n\n3. **`migration.go`** — `Version` incremented from `10` to `11`."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":37205,"output_tokens":257,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":132,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvgWpDmNCeGEqZ1g4KxW","type":"assistant","uuid":"50ed59c3-e652-47c7-b3c5-aeed4c6bdca9","timestamp":"2026-03-11T04:43:59.083Z"} +{"parentUuid":"50ed59c3-e652-47c7-b3c5-aeed4c6bdca9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"c31c699a-f492-48f7-bcf0-35d3ceeac243","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"70a65872-d7dd-4a0f-9d0f-dcab9bd21aff","toolUseID":"70a65872-d7dd-4a0f-9d0f-dcab9bd21aff","timestamp":"2026-03-11T04:43:59.146Z","uuid":"126780da-d003-4112-be1d-99099f654803"} diff --git a/af/7afc9a29ff/0/metadata.json b/af/7afc9a29ff/0/metadata.json new file mode 100644 index 00000000..87c6c174 --- /dev/null +++ b/af/7afc9a29ff/0/metadata.json @@ -0,0 +1,32 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "af7afc9a29ff", + "session_id": "c31c699a-f492-48f7-bcf0-35d3ceeac243", + "strategy": "manual-commit", + "created_at": "2026-03-11T04:46:04.68213Z", + "branch": "optimize-db-indices", + "checkpoints_count": 1, + "files_touched": [ + "internal/repository/migration.go", + "internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql", + "internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql" + ], + "agent": "Claude Code", + "turn_id": "93c57808e96c", + "token_usage": { + "input_tokens": 9, + "cache_creation_tokens": 28556, + "cache_read_tokens": 187757, + "output_tokens": 8980, + "api_call_count": 7 + }, + "initial_attribution": { + "calculated_at": "2026-03-11T04:46:04.63428Z", + "agent_lines": 385, + "human_added": 166, + "human_modified": 0, + "human_removed": 0, + "total_committed": 551, + "agent_percentage": 69.87295825771325 + } +} diff --git a/af/7afc9a29ff/0/prompt.txt b/af/7afc9a29ff/0/prompt.txt new file mode 100644 index 00000000..5f08c3bd --- /dev/null +++ b/af/7afc9a29ff/0/prompt.txt @@ -0,0 +1,139 @@ +Implement the following plan: + +# Optimize Job Table Indexes for 20M Row Production Database + +## Context + +The `job` table has **79 indexes** (created in migrations 08/09), causing: +1. **Wrong index selection** — without `ANALYZE` statistics, SQLite picks wrong indexes (e.g., `jobs_jobstate_energy` instead of `jobs_starttime` for ORDER BY queries), causing full-table temp B-tree sorts on 20M rows → timeouts +2. **Excessive disk/memory overhead** — each index costs ~200-400MB at 20M rows; 79 indexes = ~16-32GB wasted +3. **Slower writes** — every INSERT/UPDATE touches all 79 indexes +4. **Planner confusion** — too many similar indexes make the query planner's cost estimation unreliable + +The `ANALYZE` fix (already added to `setupSqlite` in `dbConnection.go`) resolves the planner issue with current indexes, but the index count must be reduced for disk/write performance. + +## Approach: Reduce to 20 indexes + +The key insight from query plan analysis: with `ANALYZE` and `LIMIT`, a `(filter_col, sort_col)` index is often better than `(filter_col1, filter_col2, sort_col)` because SQLite can scan the index in sort order and cheaply filter non-matching rows, stopping at LIMIT. + +### Verified query plans (with ANALYZE, after this change) + +| # | Pattern | Index Used | Plan | +|---|---------|-----------|------| +| 1 | Multi-state IN + ORDER BY start_time LIMIT | `jobs_starttime` | SCAN (index order, no sort) | +| 2 | cluster + state + sort start_time | `jobs_cluster_starttime_duration` | SEARCH | +| 3 | hpc_user + sort start_time | `jobs_user_starttime_duration` | SEARCH | +| 4 | cluster + state aggregation | `jobs_cluster_jobstate_duration_starttime` | COVERING SEARCH | +| 5 | Unique lookup (job_id,cluster,start_time) | `sqlite_autoindex_job_1` | SEARCH | +| 6 | Running jobs for cluster + duration > | `jobs_cluster_jobstate_duration_starttime` | SEARCH | +| 7 | start_time BETWEEN range | `jobs_starttime` | SEARCH | +| 8 | GROUP BY user with cluster | `jobs_cluster_user` | COVERING SEARCH | +| 9 | Concurrent jobs (cluster + start_time <) | `jobs_cluster_starttime_duration` | SEARCH | +| 10 | project IN + state IN + sort | `jobs_jobstate_project` | SEARCH + temp sort | +| 11 | user + multi-state + sort start_time | `jobs_user_starttime_duration` | SEARCH | +| 12 | cluster + state + sort duration | `jobs_cluster_jobstate_duration_starttime` | SEARCH | +| 13 | cluster + state + sort num_nodes | `jobs_cluster_numnodes` | SEARCH (state filtered per-row) | +| 14 | Tag join | `tags_tagid` + PK | SEARCH | +| 15 | Delete before timestamp | `jobs_starttime` | COVERING SEARCH | +| 16 | Non-running jobs (GetJobList) | `jobs_jobstate_duration_starttime` | COVERING SCAN | + +## Changes Required + +### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql` (new) + +```sql +-- Drop all 77 job indexes from migration 09 (sqlite_autoindex_job_1 is UNIQUE, kept) +-- Then create optimized set of 20 + +-- GROUP 1: Global (1 index) +-- #1 jobs_starttime (start_time) +-- Default sort for unfiltered/multi-state queries, time range, delete-before + +-- GROUP 2: Cluster-prefixed (8 indexes) +-- #2 jobs_cluster_starttime_duration (cluster, start_time, duration) +-- Cluster + default sort, concurrent jobs, time range within cluster +-- #3 jobs_cluster_duration_starttime (cluster, duration, start_time) +-- Cluster + sort by duration +-- #4 jobs_cluster_jobstate_duration_starttime (cluster, job_state, duration, start_time) +-- COVERING for cluster+state aggregation; running jobs (cluster, state, duration>?) +-- #5 jobs_cluster_jobstate_starttime_duration (cluster, job_state, start_time, duration) +-- Cluster+state+sort start_time (single state equality) +-- #6 jobs_cluster_user (cluster, hpc_user) +-- COVERING for GROUP BY user with cluster filter +-- #7 jobs_cluster_project (cluster, project) +-- GROUP BY project with cluster filter +-- #8 jobs_cluster_subcluster (cluster, subcluster) +-- GROUP BY subcluster with cluster filter +-- #9 jobs_cluster_numnodes (cluster, num_nodes) +-- Cluster + sort by num_nodes (state filtered per-row, fast with LIMIT) + +-- GROUP 3: User-prefixed (1 index) +-- #10 jobs_user_starttime_duration (hpc_user, start_time, duration) +-- Security filter (user role) + default sort + +-- GROUP 4: Project-prefixed (1 index) +-- #11 jobs_project_starttime_duration (project, start_time, duration) +-- Security filter (manager role) + default sort + +-- GROUP 5: JobState-prefixed (3 indexes) +-- #12 jobs_jobstate_project (job_state, project) +-- State + project filter (for manager security within state query) +-- #13 jobs_jobstate_user (job_state, hpc_user) +-- State + user filter/aggregation +-- #14 jobs_jobstate_duration_starttime (job_state, duration, start_time) +-- COVERING for non-running jobs scan, state + sort duration + +-- GROUP 6: Rare filters (1 index) +-- #15 jobs_arrayjobid (array_job_id) +-- Array job lookup (rare but must be indexed) + +-- GROUP 7: Secondary sort columns (5 indexes) +-- #16 jobs_cluster_numhwthreads (cluster, num_hwthreads) +-- #17 jobs_cluster_numacc (cluster, num_acc) +-- #18 jobs_cluster_energy (cluster, energy) +-- #19 jobs_cluster_partition_starttime (cluster, cluster_partition, start_time) +-- Cluster+partition + sort start_time +-- #20 jobs_cluster_partition_jobstate (cluster, cluster_partition, job_state) +-- Cluster+partition+state filter +``` + +### What's dropped and why (59 indexes removed) + +| Category | Count | Why redundant | +|----------|-------|---------------| +| cluster+partition sort/filter variants | 8 | Kept only 2 partition indexes (#19, #20); rest use cluster indexes + row filter | +| cluster+shared (all) | 8 | `shared` is rare; cluster index + row filter is fast | +| shared-prefixed (all) | 8 | `shared` alone is never a leading filter | +| cluster+jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | Replaced by `(cluster, sort_col)` indexes which work for any state combo with LIMIT | +| user sort variants (numnodes, hwthreads, acc, energy, duration) | 5 | User result sets are small; temp sort is fast | +| project sort variants + project_user | 6 | Same reasoning as user | +| jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | State has low cardinality; cluster+sort indexes handle these | +| single-filter+starttime (5) + single-filter+duration (5) | 10 | Queries always have cluster/user/project filter; standalone rare | +| standalone duration | 1 | Covered by cluster_duration_starttime | +| duplicate arrayjob variants | 1 | Simplified to single-column (array_job_id) | +| redundant cluster_starttime variants | 2 | Consolidated into 2 cluster+time indexes | +| cluster_jobstate_user, cluster_jobstate_project | 2 | Covered by cluster_user/cluster_project + state row filter | + +### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql` (new) + +Recreate all 77 indexes from migration 09 for safe rollback. + +### File: `internal/repository/migration.go` + +Increment `Version` from `10` to `11`. + +## Verification + +1. `go build ./...` — compiles +2. `go test ./internal/repository/...` — tests pass +3. `cc-backend -migrate-db` on a test copy of production DB +4. After migration, run `ANALYZE;` then verify all 16 query plans match the table above using: + ```sql + EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed','running','failed') ORDER BY job.start_time DESC LIMIT 50; + -- Should show: SCAN job USING INDEX jobs_starttime + ``` +5. Verify index count: `SELECT COUNT(*) FROM sqlite_master WHERE type='index' AND tbl_name='job';` → should be 21 (20 + autoindex) +6. Compare DB file size before/after (expect ~70% reduction in index overhead) + + +If 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-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747.jsonl \ No newline at end of file diff --git a/af/7afc9a29ff/metadata.json b/af/7afc9a29ff/metadata.json new file mode 100644 index 00000000..4eec20d1 --- /dev/null +++ b/af/7afc9a29ff/metadata.json @@ -0,0 +1,28 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "af7afc9a29ff", + "strategy": "manual-commit", + "branch": "optimize-db-indices", + "checkpoints_count": 1, + "files_touched": [ + "internal/repository/migration.go", + "internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql", + "internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql" + ], + "sessions": [ + { + "metadata": "/af/7afc9a29ff/0/metadata.json", + "transcript": "/af/7afc9a29ff/0/full.jsonl", + "context": "/af/7afc9a29ff/0/context.md", + "content_hash": "/af/7afc9a29ff/0/content_hash.txt", + "prompt": "/af/7afc9a29ff/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 9, + "cache_creation_tokens": 28556, + "cache_read_tokens": 187757, + "output_tokens": 8980, + "api_call_count": 7 + } +} From 05e087b40ba98ba18e3bcdc3e330e58c33b11102 Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Wed, 11 Mar 2026 06:14:06 +0100 Subject: [PATCH 4/6] Checkpoint: e368e6d8abf3 Entire-Session: 50b2b10a-1be0-441f-aafb-3c5828f0fcc9 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/301e590-e3b0c4 --- e3/68e6d8abf3/0/content_hash.txt | 1 + e3/68e6d8abf3/0/context.md | 14 +++ e3/68e6d8abf3/0/full.jsonl | 68 +++++++++++ e3/68e6d8abf3/0/metadata.json | 37 ++++++ e3/68e6d8abf3/0/prompt.txt | 188 +++++++++++++++++++++++++++++++ e3/68e6d8abf3/metadata.json | 33 ++++++ 6 files changed, 341 insertions(+) create mode 100644 e3/68e6d8abf3/0/content_hash.txt create mode 100644 e3/68e6d8abf3/0/context.md create mode 100644 e3/68e6d8abf3/0/full.jsonl create mode 100644 e3/68e6d8abf3/0/metadata.json create mode 100644 e3/68e6d8abf3/0/prompt.txt create mode 100644 e3/68e6d8abf3/metadata.json diff --git a/e3/68e6d8abf3/0/content_hash.txt b/e3/68e6d8abf3/0/content_hash.txt new file mode 100644 index 00000000..470cfb56 --- /dev/null +++ b/e3/68e6d8abf3/0/content_hash.txt @@ -0,0 +1 @@ +sha256:c4cc521b26e386a5f6fa3635a2ff2afbe9b783bab0426469aadcbd1386f5ec9a \ No newline at end of file diff --git a/e3/68e6d8abf3/0/context.md b/e3/68e6d8abf3/0/context.md new file mode 100644 index 00000000..706da964 --- /dev/null +++ b/e3/68e6d8abf3/0/context.md @@ -0,0 +1,14 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Make SQLite Memory Limits Configurable via config.json + +## Context + +Fixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any re... + diff --git a/e3/68e6d8abf3/0/full.jsonl b/e3/68e6d8abf3/0/full.jsonl new file mode 100644 index 00000000..940e43b0 --- /dev/null +++ b/e3/68e6d8abf3/0/full.jsonl @@ -0,0 +1,68 @@ +{"type":"file-history-snapshot","messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b3256b97-8aaa-431a-9357-c02f6452a917","toolUseID":"b3256b97-8aaa-431a-9357-c02f6452a917","timestamp":"2026-03-11T05:09:33.882Z","uuid":"9955f7f6-5a90-4c2c-94aa-2d8ffcb38f0a"} +{"parentUuid":"9955f7f6-5a90-4c2c-94aa-2d8ffcb38f0a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\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-CC-cc-backend/520afa6a-6a70-437b-96c1-35c40ed3ec48.jsonl"},"uuid":"62550838-b2ab-4b82-8144-d30034cc5aee","timestamp":"2026-03-11T05:09:30.791Z","planContent":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\n"} +{"parentUuid":"62550838-b2ab-4b82-8144-d30034cc5aee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvMBCkYICxgCKkCBRIoceZRhwFgKmWLKLJLwPMfKVuy5yYH1iKsS1yeadNH4unYpOiazLhvUFPZ/pNHemxCHuo3gVxo7zwZBCSxGEgwSllDKueK3s0llcP4aDJ1d8IE6HqLTa0VT7SIw6tU5EX2yti7tldSSBk11hIpI67QYke357ozMtbIEdVzzOjjdiKONiMn+QzbGXPzSKlv1WNbZRqwFtyFdulqR6jbKHRPWtk5RxwtJAmqkanSimoUCq88mk52wH9oebvC4yDBApZJpxkhmZr4si05u6k4F4mrgwp5vehpofZRDRQeU5MEDyYxaSAr2k+ZXGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"127451ff-f5bd-4066-aa31-65d3dc19f628","timestamp":"2026-03-11T05:09:35.906Z"} +{"parentUuid":"127451ff-f5bd-4066-aa31-65d3dc19f628","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the current state of the files I need to modify."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"779b9a3b-efad-4131-9d61-baee348c41e2","timestamp":"2026-03-11T05:09:36.520Z"} +{"parentUuid":"779b9a3b-efad-4131-9d61-baee348c41e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Du6tqDmVPTLrjyyNy2bj14","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"0636bdba-8808-48a8-bf49-2c8219c4d4a5","timestamp":"2026-03-11T05:09:36.929Z"} +{"parentUuid":"0636bdba-8808-48a8-bf49-2c8219c4d4a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Du6tqDmVPTLrjyyNy2bj14","toolUseID":"toolu_01Du6tqDmVPTLrjyyNy2bj14","timestamp":"2026-03-11T05:09:36.953Z","uuid":"e035e696-522b-41c4-94ee-d01c9f42ec59"} +{"parentUuid":"0636bdba-8808-48a8-bf49-2c8219c4d4a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Du6tqDmVPTLrjyyNy2bj14","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→}\n 38→\n 39→// DefaultConfig returns the default repository configuration.\n 40→// These values are optimized for typical deployments.\n 41→func DefaultConfig() *RepositoryConfig {\n 42→\treturn &RepositoryConfig{\n 43→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 44→\t\tMaxOpenConnections: 4,\n 45→\t\tMaxIdleConnections: 4,\n 46→\t\tConnectionMaxLifetime: time.Hour,\n 47→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 48→\t\tMinRunningJobDuration: 600, // 10 minutes\n 49→\t}\n 50→}\n 51→\n 52→// repoConfig is the package-level configuration instance.\n 53→// It is initialized with defaults and can be overridden via SetConfig.\n 54→var repoConfig *RepositoryConfig = DefaultConfig()\n 55→\n 56→// SetConfig sets the repository configuration.\n 57→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 58→// If not called, default values from DefaultConfig() are used.\n 59→func SetConfig(cfg *RepositoryConfig) {\n 60→\tif cfg != nil {\n 61→\t\trepoConfig = cfg\n 62→\t}\n 63→}\n 64→\n 65→// GetConfig returns the current repository configuration.\n 66→func GetConfig() *RepositoryConfig {\n 67→\treturn repoConfig\n 68→}\n 69→"}]},"uuid":"22b53c7d-c60a-4065-acae-9adab8ce5d1c","timestamp":"2026-03-11T05:09:36.953Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/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\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":69,"startLine":1,"totalLines":69}},"sourceToolAssistantUUID":"0636bdba-8808-48a8-bf49-2c8219c4d4a5"} +{"parentUuid":"22b53c7d-c60a-4065-acae-9adab8ce5d1c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8","timestamp":"2026-03-11T05:09:37.368Z"} +{"parentUuid":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","toolUseID":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","timestamp":"2026-03-11T05:09:37.379Z","uuid":"1d0392d9-6a3e-4589-a4b5-e830d2ddaf4c"} +{"parentUuid":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n 43→\t}\n 44→\n 45→\tfor _, pragma := range pragmas {\n 46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 47→\t\tif err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\t// Update query planner statistics so SQLite picks optimal indexes.\n 53→\t// Without this, SQLite guesses row distributions and often chooses wrong\n 54→\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n 55→\t// in temp B-trees instead of using covering indexes.\n 56→\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n 57→\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n 58→\t}\n 59→\n 60→\treturn nil\n 61→}\n 62→\n 63→func Connect(db string) {\n 64→\tvar err error\n 65→\tvar dbHandle *sqlx.DB\n 66→\n 67→\tdbConnOnce.Do(func() {\n 68→\t\topts := DatabaseOptions{\n 69→\t\t\tURL: db,\n 70→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 71→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 72→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 73→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 74→\t\t}\n 75→\n 76→\t\t// TODO: Have separate DB handles for Writes and Reads\n 77→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 78→\t\tconnectionURLParams := make(url.Values)\n 79→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 80→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 81→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 82→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 83→\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n 84→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 85→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 86→\n 87→\t\tif cclog.Loglevel() == \"debug\" {\n 88→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 89→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 90→\t\t} else {\n 91→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 92→\t\t}\n 93→\n 94→\t\tif err != nil {\n 95→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 96→\t\t}\n 97→\n 98→\t\terr = setupSqlite(dbHandle.DB)\n 99→\t\tif err != nil {\n 100→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 101→\t\t}\n 102→\n 103→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 104→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 105→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 106→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 107→\n 108→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 109→\t\terr = checkDBVersion(dbHandle.DB)\n 110→\t\tif err != nil {\n 111→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 112→\t\t}\n 113→\t})\n 114→}\n 115→\n 116→func GetConnection() *DBConnection {\n 117→\tif dbConnInstance == nil {\n 118→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 119→\t}\n 120→\n 121→\treturn dbConnInstance\n 122→}\n 123→\n 124→// ResetConnection closes the current database connection and resets the connection state.\n 125→// This function is intended for testing purposes only to allow test isolation.\n 126→func ResetConnection() error {\n 127→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 128→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 129→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 130→\t\t}\n 131→\t}\n 132→\n 133→\tdbConnInstance = nil\n 134→\tdbConnOnce = sync.Once{}\n 135→\tjobRepoInstance = nil\n 136→\tjobRepoOnce = sync.Once{}\n 137→\tnodeRepoInstance = nil\n 138→\tnodeRepoOnce = sync.Once{}\n 139→\tuserRepoInstance = nil\n 140→\tuserRepoOnce = sync.Once{}\n 141→\tuserCfgRepoInstance = nil\n 142→\tuserCfgRepoOnce = sync.Once{}\n 143→\n 144→\treturn nil\n 145→}\n 146→"}]},"uuid":"17230809-b16c-4518-bbde-c5782806f72e","timestamp":"2026-03-11T05:09:37.378Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8"} +{"parentUuid":"17230809-b16c-4518-bbde-c5782806f72e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SDdnC9NJxd27v7JjWA7g3v","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"98e904a3-81e6-4b71-b923-4e5d6b9b217f","timestamp":"2026-03-11T05:09:37.811Z"} +{"parentUuid":"98e904a3-81e6-4b71-b923-4e5d6b9b217f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SDdnC9NJxd27v7JjWA7g3v","toolUseID":"toolu_01SDdnC9NJxd27v7JjWA7g3v","timestamp":"2026-03-11T05:09:37.825Z","uuid":"0a718ac4-7028-4d72-b6f7-829748bbc9a9"} +{"parentUuid":"98e904a3-81e6-4b71-b923-4e5d6b9b217f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SDdnC9NJxd27v7JjWA7g3v","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→\n 82→type NodeStateRetention struct {\n 83→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 84→\tAge int `json:\"age\"` // hours, default 24\n 85→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 86→\tTargetPath string `json:\"target-path\"`\n 87→\tTargetEndpoint string `json:\"target-endpoint\"`\n 88→\tTargetBucket string `json:\"target-bucket\"`\n 89→\tTargetAccessKey string `json:\"target-access-key\"`\n 90→\tTargetSecretKey string `json:\"target-secret-key\"`\n 91→\tTargetRegion string `json:\"target-region\"`\n 92→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 93→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 94→}\n 95→\n 96→type ResampleConfig struct {\n 97→\t// Minimum number of points to trigger resampling of data\n 98→\tMinimumPoints int `json:\"minimum-points\"`\n 99→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 100→\tResolutions []int `json:\"resolutions\"`\n 101→\t// Trigger next zoom level at less than this many visible datapoints\n 102→\tTrigger int `json:\"trigger\"`\n 103→}\n 104→\n 105→type NATSConfig struct {\n 106→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 107→\tSubjectNodeState string `json:\"subject-node-state\"`\n 108→}\n 109→\n 110→type IntRange struct {\n 111→\tFrom int `json:\"from\"`\n 112→\tTo int `json:\"to\"`\n 113→}\n 114→\n 115→type TimeRange struct {\n 116→\tFrom *time.Time `json:\"from\"`\n 117→\tTo *time.Time `json:\"to\"`\n 118→\tRange string `json:\"range,omitempty\"`\n 119→}\n 120→\n 121→type FilterRanges struct {\n 122→\tDuration *IntRange `json:\"duration\"`\n 123→\tNumNodes *IntRange `json:\"num-nodes\"`\n 124→\tStartTime *TimeRange `json:\"start-time\"`\n 125→}\n 126→\n 127→var Keys ProgramConfig = ProgramConfig{\n 128→\tAddr: \"localhost:8080\",\n 129→\tEmbedStaticFiles: true,\n 130→\tDB: \"./var/job.db\",\n 131→\tSessionMaxAge: \"168h\",\n 132→\tStopJobsExceedingWalltime: 0,\n 133→\tShortRunningJobsDuration: 5 * 60,\n 134→}\n 135→\n 136→func Init(mainConfig json.RawMessage) {\n 137→\tValidate(configSchema, mainConfig)\n 138→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 139→\tdec.DisallowUnknownFields()\n 140→\tif err := dec.Decode(&Keys); err != nil {\n 141→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 142→\t}\n 143→\n 144→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 145→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 146→\t}\n 147→}\n 148→"}]},"uuid":"7d611e4a-3b06-458e-ad46-4e21883b07ca","timestamp":"2026-03-11T05:09:37.825Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/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\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}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\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":148,"startLine":1,"totalLines":148}},"sourceToolAssistantUUID":"98e904a3-81e6-4b71-b923-4e5d6b9b217f"} +{"parentUuid":"7d611e4a-3b06-458e-ad46-4e21883b07ca","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KJECS8nsj1pP4hSJ28oMGL","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"4df955c4-860d-415e-a430-b9634e068053","timestamp":"2026-03-11T05:09:38.574Z"} +{"parentUuid":"4df955c4-860d-415e-a430-b9634e068053","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KJECS8nsj1pP4hSJ28oMGL","toolUseID":"toolu_01KJECS8nsj1pP4hSJ28oMGL","timestamp":"2026-03-11T05:09:38.588Z","uuid":"44cdd5ab-3189-4292-a221-3a793ede67e3"} +{"parentUuid":"4df955c4-860d-415e-a430-b9634e068053","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KJECS8nsj1pP4hSJ28oMGL","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→ },\n 126→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 127→ },\n 128→ \"nodestate-retention\": {\n 129→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 130→ \"type\": \"object\",\n 131→ \"properties\": {\n 132→ \"policy\": {\n 133→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 134→ \"type\": \"string\",\n 135→ \"enum\": [\"delete\", \"move\"]\n 136→ },\n 137→ \"age\": {\n 138→ \"description\": \"Retention age in hours (default: 24).\",\n 139→ \"type\": \"integer\"\n 140→ },\n 141→ \"target-kind\": {\n 142→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 143→ \"type\": \"string\",\n 144→ \"enum\": [\"file\", \"s3\"]\n 145→ },\n 146→ \"target-path\": {\n 147→ \"description\": \"Filesystem path for parquet file target.\",\n 148→ \"type\": \"string\"\n 149→ },\n 150→ \"target-endpoint\": {\n 151→ \"description\": \"S3 endpoint URL.\",\n 152→ \"type\": \"string\"\n 153→ },\n 154→ \"target-bucket\": {\n 155→ \"description\": \"S3 bucket name.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-access-key\": {\n 159→ \"description\": \"S3 access key.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-secret-key\": {\n 163→ \"description\": \"S3 secret key.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-region\": {\n 167→ \"description\": \"S3 region.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-use-path-style\": {\n 171→ \"description\": \"Use path-style S3 addressing.\",\n 172→ \"type\": \"boolean\"\n 173→ },\n 174→ \"max-file-size-mb\": {\n 175→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 176→ \"type\": \"integer\"\n 177→ }\n 178→ },\n 179→ \"required\": [\"policy\"]\n 180→ }\n 181→ }\n 182→}`\n 183→"}]},"uuid":"48ba27a9-ec40-4394-9626-0c26558cad3b","timestamp":"2026-03-11T05:09:38.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/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 },\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 }\n}`\n","numLines":183,"startLine":1,"totalLines":183}},"sourceToolAssistantUUID":"4df955c4-860d-415e-a430-b9634e068053"} +{"parentUuid":"48ba27a9-ec40-4394-9626-0c26558cad3b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"output_tokens":345,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":9062},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"2a4f23a0-b455-4286-9166-3ab6e9722010","timestamp":"2026-03-11T05:09:38.603Z"} +{"parentUuid":"2a4f23a0-b455-4286-9166-3ab6e9722010","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","toolUseID":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","timestamp":"2026-03-11T05:09:38.609Z","uuid":"b6d7f4d7-0089-4cf8-a46c-5ca8fe78e493"} +{"parentUuid":"2a4f23a0-b455-4286-9166-3ab6e9722010","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","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 main provides the entry point for the ClusterCockpit backend server.\n 7→// It orchestrates initialization of all subsystems including configuration,\n 8→// database, authentication, and the HTTP server.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"os\"\n 16→\t\"os/signal\"\n 17→\t\"runtime/debug\"\n 18→\t\"strings\"\n 19→\t\"sync\"\n 20→\t\"syscall\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 40→\t\"github.com/google/gops/agent\"\n 41→\t\"github.com/joho/godotenv\"\n 42→\n 43→\t_ \"github.com/mattn/go-sqlite3\"\n 44→)\n 45→\n 46→const logoString = `\n 47→ _____ _ _ ____ _ _ _\n 48→/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n 49→| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n 50→| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n 51→\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n 52→ |_|\n 53→`\n 54→\n 55→// Environment variable names\n 56→const (\n 57→\tenvGOGC = \"GOGC\"\n 58→)\n 59→\n 60→// Default configurations\n 61→const (\n 62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n 63→)\n 64→\n 65→var (\n 66→\tdate string\n 67→\tcommit string\n 68→\tversion string\n 69→)\n 70→\n 71→func printVersion() {\n 72→\tfmt.Print(logoString)\n 73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n 74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n 75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n 76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n 77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n 78→}\n 79→\n 80→func initGops() error {\n 81→\tif !flagGops {\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif err := agent.Listen(agent.Options{}); err != nil {\n 86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n 87→\t}\n 88→\treturn nil\n 89→}\n 90→\n 91→func loadEnvironment() error {\n 92→\tif err := godotenv.Load(); err != nil {\n 93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n 94→\t}\n 95→\treturn nil\n 96→}\n 97→\n 98→func initConfiguration() error {\n 99→\tccconf.Init(flagConfigFile)\n 100→\n 101→\tcfg := ccconf.GetPackageConfig(\"main\")\n 102→\tif cfg == nil {\n 103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n 104→\t}\n 105→\n 106→\tconfig.Init(cfg)\n 107→\treturn nil\n 108→}\n 109→\n 110→func initDatabase() error {\n 111→\trepository.Connect(config.Keys.DB)\n 112→\treturn nil\n 113→}\n 114→\n 115→func handleDatabaseCommands() error {\n 116→\tif flagMigrateDB {\n 117→\t\terr := repository.MigrateDB(config.Keys.DB)\n 118→\t\tif err != nil {\n 119→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n 120→\t\t}\n 121→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n 122→\t\t\tconfig.Keys.DB, repository.Version)\n 123→\t}\n 124→\n 125→\tif flagRevertDB {\n 126→\t\terr := repository.RevertDB(config.Keys.DB)\n 127→\t\tif err != nil {\n 128→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n 129→\t\t}\n 130→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n 131→\t\t\tconfig.Keys.DB, repository.Version-1)\n 132→\t}\n 133→\n 134→\tif flagForceDB {\n 135→\t\terr := repository.ForceDB(config.Keys.DB)\n 136→\t\tif err != nil {\n 137→\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n 138→\t\t}\n 139→\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n 140→\t\t\tconfig.Keys.DB, repository.Version)\n 141→\t}\n 142→\n 143→\treturn nil\n 144→}\n 145→\n 146→func handleUserCommands() error {\n 147→\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n 148→\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n 149→\t}\n 150→\n 151→\tif !config.Keys.DisableAuthentication {\n 152→\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n 153→\t\t\tauth.Init(&cfg)\n 154→\t\t} else {\n 155→\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n 156→\t\t\tauth.Init(nil)\n 157→\t\t}\n 158→\n 159→\t\t// Check for default security keys\n 160→\t\tcheckDefaultSecurityKeys()\n 161→\n 162→\t\tif flagNewUser != \"\" {\n 163→\t\t\tif err := addUser(flagNewUser); err != nil {\n 164→\t\t\t\treturn err\n 165→\t\t\t}\n 166→\t\t}\n 167→\n 168→\t\tif flagDelUser != \"\" {\n 169→\t\t\tif err := delUser(flagDelUser); err != nil {\n 170→\t\t\t\treturn err\n 171→\t\t\t}\n 172→\t\t}\n 173→\n 174→\t\tauthHandle := auth.GetAuthInstance()\n 175→\n 176→\t\tif flagSyncLDAP {\n 177→\t\t\tif err := syncLDAP(authHandle); err != nil {\n 178→\t\t\t\treturn err\n 179→\t\t\t}\n 180→\t\t}\n 181→\n 182→\t\tif flagGenJWT != \"\" {\n 183→\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n 184→\t\t\t\treturn err\n 185→\t\t\t}\n 186→\t\t}\n 187→\t}\n 188→\n 189→\treturn nil\n 190→}\n 191→\n 192→// checkDefaultSecurityKeys warns if default JWT keys are detected\n 193→func checkDefaultSecurityKeys() {\n 194→\t// Default JWT public key from init.go\n 195→\tdefaultJWTPublic := \"REDACTED\"\n 196→\n 197→\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n 198→\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n 199→\t}\n 200→}\n 201→\n 202→func addUser(userSpec string) error {\n 203→\tparts := strings.SplitN(userSpec, \":\", 3)\n 204→\tif len(parts) != 3 || len(parts[0]) == 0 {\n 205→\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n 206→\t}\n 207→\n 208→\tur := repository.GetUserRepository()\n 209→\tif err := ur.AddUser(&schema.User{\n 210→\t\tUsername: parts[0],\n 211→\t\tProjects: make([]string, 0),\n 212→\t\tPassword: parts[2],\n 213→\t\tRoles: strings.Split(parts[1], \",\"),\n 214→\t}); err != nil {\n 215→\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n 216→\t}\n 217→\n 218→\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n 219→\treturn nil\n 220→}\n 221→\n 222→func delUser(username string) error {\n 223→\tur := repository.GetUserRepository()\n 224→\tif err := ur.DelUser(username); err != nil {\n 225→\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n 226→\t}\n 227→\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n 228→\treturn nil\n 229→}\n 230→\n 231→func syncLDAP(authHandle *auth.Authentication) error {\n 232→\tif authHandle.LdapAuth == nil {\n 233→\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n 234→\t}\n 235→\n 236→\tif err := authHandle.LdapAuth.Sync(); err != nil {\n 237→\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n 238→\t}\n 239→\n 240→\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n 241→\treturn nil\n 242→}\n 243→\n 244→func generateJWT(authHandle *auth.Authentication, username string) error {\n 245→\tur := repository.GetUserRepository()\n 246→\tuser, err := ur.GetUser(username)\n 247→\tif err != nil {\n 248→\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n 249→\t}\n 250→\n 251→\tif !user.HasRole(schema.RoleAPI) {\n 252→\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n 253→\t}\n 254→\n 255→\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n 256→\tif err != nil {\n 257→\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n 258→\t}\n 259→\n 260→\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n 261→\treturn nil\n 262→}\n 263→\n 264→func initSubsystems() error {\n 265→\t// Initialize nats client\n 266→\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n 267→\tif err := nats.Init(natsConfig); err != nil {\n 268→\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n 269→\t}\n 270→\tnats.Connect()\n 271→\n 272→\t// Initialize job archive\n 273→\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n 274→\tif archiveCfg == nil {\n 275→\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n 276→\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n 277→\t}\n 278→\tif err := archive.Init(archiveCfg); err != nil {\n 279→\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n 280→\t}\n 281→\n 282→\t// Handle database re-initialization\n 283→\tif flagReinitDB {\n 284→\t\tif err := importer.InitDB(); err != nil {\n 285→\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n 286→\t\t}\n 287→\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n 288→\t}\n 289→\n 290→\t// Handle job import\n 291→\tif flagImportJob != \"\" {\n 292→\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n 293→\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n 294→\t\t}\n 295→\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n 296→\t}\n 297→\n 298→\t// Initialize taggers\n 299→\tif config.Keys.EnableJobTaggers {\n 300→\t\ttagger.Init()\n 301→\t}\n 302→\n 303→\t// Apply tags if requested\n 304→\tif flagApplyTags {\n 305→\t\ttagger.Init()\n 306→\n 307→\t\tif err := tagger.RunTaggers(); err != nil {\n 308→\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\treturn nil\n 313→}\n 314→\n 315→func runServer(ctx context.Context) error {\n 316→\tvar wg sync.WaitGroup\n 317→\n 318→\t// Initialize metric store if configuration is provided\n 319→\thaveMetricstore := false\n 320→\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n 321→\tif mscfg != nil {\n 322→\t\tmetrics := metricstore.BuildMetricList()\n 323→\t\tmetricstore.Init(mscfg, metrics, &wg)\n 324→\n 325→\t\t// Inject repository as NodeProvider to break import cycle\n 326→\t\tms := metricstore.GetMemoryStore()\n 327→\t\tjobRepo := repository.GetJobRepository()\n 328→\t\tms.SetNodeProvider(jobRepo)\n 329→\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n 330→\t\thaveMetricstore = true\n 331→\t} else {\n 332→\t\tmetricstore.MetricStoreHandle = nil\n 333→\t\tcclog.Debug(\"missing internal metricstore configuration\")\n 334→\t}\n 335→\n 336→\t// Initialize external metric stores if configuration is provided\n 337→\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n 338→\tif mscfg != nil {\n 339→\t\terr := metricdispatch.Init(mscfg)\n 340→\n 341→\t\tif err != nil {\n 342→\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n 343→\t\t} else {\n 344→\t\t\thaveMetricstore = true\n 345→\t\t}\n 346→\t}\n 347→\n 348→\tif !haveMetricstore {\n 349→\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n 350→\t}\n 351→\n 352→\t// Start archiver and task manager\n 353→\tarchiver.Start(repository.GetJobRepository(), ctx)\n 354→\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n 355→\n 356→\t// Initialize web UI\n 357→\tcfg := ccconf.GetPackageConfig(\"ui\")\n 358→\tif err := web.Init(cfg); err != nil {\n 359→\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n 360→\t}\n 361→\n 362→\t// Initialize HTTP server\n 363→\tsrv, err := NewServer(version, commit, date)\n 364→\tif err != nil {\n 365→\t\treturn fmt.Errorf(\"creating server: %w\", err)\n 366→\t}\n 367→\n 368→\t// Channel to collect errors from server\n 369→\terrChan := make(chan error, 1)\n 370→\n 371→\t// Start HTTP server\n 372→\twg.Go(func() {\n 373→\t\tif err := srv.Start(ctx); err != nil {\n 374→\t\t\terrChan <- err\n 375→\t\t}\n 376→\t})\n 377→\n 378→\t// Handle shutdown signals\n 379→\twg.Add(1)\n 380→\tsigs := make(chan os.Signal, 1)\n 381→\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n 382→\tgo func() {\n 383→\t\tdefer wg.Done()\n 384→\t\tselect {\n 385→\t\tcase <-sigs:\n 386→\t\t\tcclog.Info(\"Shutdown signal received\")\n 387→\t\tcase <-ctx.Done():\n 388→\t\t}\n 389→\n 390→\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n 391→\t\tsrv.Shutdown(ctx)\n 392→\t\tutil.FsWatcherShutdown()\n 393→\t\ttaskmanager.Shutdown()\n 394→\t}()\n 395→\n 396→\t// Set GC percent if not configured\n 397→\tif os.Getenv(envGOGC) == \"\" {\n 398→\t\t// trigger GC when heap grows 15% above the previous live set\n 399→\t\tdebug.SetGCPercent(15)\n 400→\t}\n 401→\truntime.SystemdNotify(true, \"running\")\n 402→\n 403→\twaitDone := make(chan struct{})\n 404→\tgo func() {\n 405→\t\twg.Wait()\n 406→\t\tclose(waitDone)\n 407→\t}()\n 408→\n 409→\tgo func() {\n 410→\t\t<-waitDone\n 411→\t\tclose(errChan)\n 412→\t}()\n 413→\n 414→\t// Wait for either:\n 415→\t// 1. An error from server startup\n 416→\t// 2. Completion of all goroutines (normal shutdown or crash)\n 417→\tselect {\n 418→\tcase err := <-errChan:\n 419→\t\t// errChan will be closed when waitDone is closed, which happens\n 420→\t\t// when all goroutines complete (either from normal shutdown or error)\n 421→\t\tif err != nil {\n 422→\t\t\treturn err\n 423→\t\t}\n 424→\tcase <-time.After(100 * time.Millisecond):\n 425→\t\t// Give the server 100ms to start and report any immediate startup errors\n 426→\t\t// After that, just wait for normal shutdown completion\n 427→\t\tselect {\n 428→\t\tcase err := <-errChan:\n 429→\t\t\tif err != nil {\n 430→\t\t\t\treturn err\n 431→\t\t\t}\n 432→\t\tcase <-waitDone:\n 433→\t\t\t// Normal shutdown completed\n 434→\t\t}\n 435→\t}\n 436→\n 437→\tcclog.Print(\"Graceful shutdown completed!\")\n 438→\treturn nil\n 439→}\n 440→\n 441→func run() error {\n 442→\tcliInit()\n 443→\n 444→\tif flagVersion {\n 445→\t\tprintVersion()\n 446→\t\treturn nil\n 447→\t}\n 448→\n 449→\t// Initialize logger\n 450→\tcclog.Init(flagLogLevel, flagLogDateTime)\n 451→\n 452→\t// Handle init flag\n 453→\tif flagInit {\n 454→\t\tinitEnv()\n 455→\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n 456→\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n 457→\t\t\t\"Add your job-archive at ./var/job-archive.\")\n 458→\t}\n 459→\n 460→\t// Initialize gops agent\n 461→\tif err := initGops(); err != nil {\n 462→\t\treturn err\n 463→\t}\n 464→\n 465→\t// Initialize subsystems in dependency order:\n 466→\t// 1. Load environment variables from .env file (contains sensitive configuration)\n 467→\t// 2. Load configuration from config.json (may reference environment variables)\n 468→\t// 3. Handle database migration commands if requested\n 469→\t// 4. Initialize database connection (requires config for connection string)\n 470→\t// 5. Handle user commands if requested (requires database and authentication config)\n 471→\t// 6. Initialize subsystems like archive and metrics (require config and database)\n 472→\n 473→\t// Load environment and configuration\n 474→\tif err := loadEnvironment(); err != nil {\n 475→\t\treturn err\n 476→\t}\n 477→\n 478→\tif err := initConfiguration(); err != nil {\n 479→\t\treturn err\n 480→\t}\n 481→\n 482→\t// Handle database migration (migrate, revert, force)\n 483→\tif err := handleDatabaseCommands(); err != nil {\n 484→\t\treturn err\n 485→\t}\n 486→\n 487→\t// Initialize database\n 488→\tif err := initDatabase(); err != nil {\n 489→\t\treturn err\n 490→\t}\n 491→\n 492→\t// Handle user commands (add, delete, sync, JWT)\n 493→\tif err := handleUserCommands(); err != nil {\n 494→\t\treturn err\n 495→\t}\n 496→\n 497→\t// Initialize subsystems (archive, metrics, taggers)\n 498→\tif err := initSubsystems(); err != nil {\n 499→\t\treturn err\n 500→\t}\n 501→\n 502→\t// Exit if start server is not requested\n 503→\tif !flagServer {\n 504→\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n 505→\t}\n 506→\n 507→\t// Run server with context\n 508→\tctx, cancel := context.WithCancel(context.Background())\n 509→\tdefer cancel()\n 510→\n 511→\treturn runServer(ctx)\n 512→}\n 513→\n 514→func main() {\n 515→\tif err := run(); err != nil {\n 516→\t\tcclog.Error(err.Error())\n 517→\t\tos.Exit(1)\n 518→\t}\n 519→}\n 520→"}]},"uuid":"67379768-f4d4-462b-9648-2d58146b31c6","timestamp":"2026-03-11T05:09:38.608Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.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 main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\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/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _ _ ____ _ _ _\n/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles: strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. Load environment variables from .env file (contains sensitive configuration)\n\t// 2. Load configuration from config.json (may reference environment variables)\n\t// 3. Handle database migration commands if requested\n\t// 4. Initialize database connection (requires config for connection string)\n\t// 5. Handle user commands if requested (requires database and authentication config)\n\t// 6. Initialize subsystems like archive and metrics (require config and database)\n\n\t// Load environment and configuration\n\tif err := loadEnvironment(); err != nil {\n\t\treturn err\n\t}\n\n\tif err := initConfiguration(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle database migration (migrate, revert, force)\n\tif err := handleDatabaseCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize database\n\tif err := initDatabase(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle user commands (add, delete, sync, JWT)\n\tif err := handleUserCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems (archive, metrics, taggers)\n\tif err := initSubsystems(); err != nil {\n\t\treturn err\n\t}\n\n\t// Exit if start server is not requested\n\tif !flagServer {\n\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n\t}\n\n\t// Run server with context\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","numLines":520,"startLine":1,"totalLines":520}},"sourceToolAssistantUUID":"2a4f23a0-b455-4286-9166-3ab6e9722010"} +{"parentUuid":"67379768-f4d4-462b-9648-2d58146b31c6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EVNd8o3wtrGrf65sTpQfff","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EuMBCkYICxgCKkAJFFjdHLKxjbb2lXo04/IPn8d4F/TwLsqb/fa5bgNV09/FWibUsgYVs5kCIe9hrCvZx/RP1y34nlYi1/Z1X5LZEgxIw6CuMEw1vUU6N9UaDAixEeAlvVryD+XjXSIw/PssP8ro0AscMpFk0y7yoDsBlw6LJsWBohoaHJE9unPOWw9HQX2wIHwDzayWAKl0Kksv/n5/KY9sRh3qKUEYYjw7gA++TDVEDA/bOXf2JR/fJfU4C8djpap+m+/sBbkMlRguZxNoOfyoYgWAThwh6t1IPy8P9+FPa8amTmYYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14336,"cache_read_input_tokens":17843,"cache_creation":{"ephemeral_5m_input_tokens":14336,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUqpvrTNDZQyk1fynn","type":"assistant","uuid":"bce34887-5cbd-4296-ba1e-9faaa9720651","timestamp":"2026-03-11T05:09:41.265Z"} +{"parentUuid":"bce34887-5cbd-4296-ba1e-9faaa9720651","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EVNd8o3wtrGrf65sTpQfff","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the full picture. Let me implement all the changes.\n\n### 1. Add SQLite memory fields to `RepositoryConfig`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14336,"cache_read_input_tokens":17843,"cache_creation":{"ephemeral_5m_input_tokens":14336,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUqpvrTNDZQyk1fynn","type":"assistant","uuid":"55fa9485-15f7-4d7f-8b21-256509581ff4","timestamp":"2026-03-11T05:09:42.229Z"} +{"parentUuid":"55fa9485-15f7-4d7f-8b21-256509581ff4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EVNd8o3wtrGrf65sTpQfff","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Dp7KB85jTGn63J2pe9xK1M","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","old_string":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}","new_string":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14336,"cache_read_input_tokens":17843,"output_tokens":476,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":14336},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviUqpvrTNDZQyk1fynn","type":"assistant","uuid":"c6a81b26-6db8-4d67-a435-94d08db89be3","timestamp":"2026-03-11T05:09:49.146Z"} +{"type":"file-history-snapshot","messageId":"c6a81b26-6db8-4d67-a435-94d08db89be3","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"c6a81b26-6db8-4d67-a435-94d08db89be3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Dp7KB85jTGn63J2pe9xK1M","toolUseID":"toolu_01Dp7KB85jTGn63J2pe9xK1M","timestamp":"2026-03-11T05:09:49.158Z","uuid":"4f76385a-ae50-45d2-80d9-878b6ac4c0b4"} +{"parentUuid":"c6a81b26-6db8-4d67-a435-94d08db89be3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dp7KB85jTGn63J2pe9xK1M","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/config.go has been updated successfully."}]},"uuid":"341dd7bf-62d9-4c80-9277-4531c4215822","timestamp":"2026-03-11T05:09:49.157Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","oldString":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}","newString":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\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 repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":34,"oldLines":6,"newStart":34,"newLines":18,"lines":[" // considered in \"running jobs\" queries. This filters out very short jobs."," // Default: 600 seconds (10 minutes)"," MinRunningJobDuration int","+","+ // DbCacheSizeMB is the SQLite page cache size per connection in MB.","+ // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4","+ // and DbCacheSizeMB=2048, total page cache is up to 8GB.","+ // Default: 2048 (2GB)","+ DbCacheSizeMB int","+","+ // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.","+ // SQLite will try to release cache pages to stay under this limit.","+ // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","+ // Default: 16384 (16GB)","+ DbSoftHeapLimitMB int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c6a81b26-6db8-4d67-a435-94d08db89be3"} +{"parentUuid":"341dd7bf-62d9-4c80-9277-4531c4215822","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0165oTdGnkE16WHEBxZsx1wc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0119uodKtHtwVTve5gBoA8bg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","old_string":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}","new_string":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":534,"cache_read_input_tokens":32179,"output_tokens":190,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":534},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviVcw4tWpSLZJJzMzHT","type":"assistant","uuid":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50","timestamp":"2026-03-11T05:09:52.599Z"} +{"parentUuid":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_0119uodKtHtwVTve5gBoA8bg","toolUseID":"toolu_0119uodKtHtwVTve5gBoA8bg","timestamp":"2026-03-11T05:09:52.622Z","uuid":"4cea01dc-95f0-4904-86eb-77a386d29e0c"} +{"parentUuid":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0119uodKtHtwVTve5gBoA8bg","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/config.go has been updated successfully."}]},"uuid":"1b143a3c-c4ea-43e4-9d0d-8366208fe4ac","timestamp":"2026-03-11T05:09:52.622Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","oldString":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}","newString":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\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.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":57,"oldLines":7,"newStart":57,"newLines":9,"lines":[" MaxIdleConnections: 4,"," ConnectionMaxLifetime: time.Hour,"," ConnectionMaxIdleTime: 10 * time.Minute,","- MinRunningJobDuration: 600, // 10 minutes","+ MinRunningJobDuration: 600, // 10 minutes","+ DbCacheSizeMB: 2048, // 2GB per connection","+ DbSoftHeapLimitMB: 16384, // 16GB process-wide"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50"} +{"parentUuid":"1b143a3c-c4ea-43e4-9d0d-8366208fe4ac","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01541pte8UUk3XpjEpo7wsXQ","type":"message","role":"assistant","content":[{"type":"text","text":"### 2. Use config values in `Connect()` and `setupSqlite()`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":248,"cache_read_input_tokens":32713,"cache_creation":{"ephemeral_5m_input_tokens":248,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviVsn2uqLyjW9eA6zbh","type":"assistant","uuid":"24724709-3d0e-4de9-8c40-4efc2dc88af0","timestamp":"2026-03-11T05:09:54.951Z"} +{"parentUuid":"24724709-3d0e-4de9-8c40-4efc2dc88af0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01541pte8UUk3XpjEpo7wsXQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}","new_string":"func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":248,"cache_read_input_tokens":32713,"output_tokens":294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":248},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviVsn2uqLyjW9eA6zbh","type":"assistant","uuid":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","timestamp":"2026-03-11T05:09:57.467Z"} +{"type":"file-history-snapshot","messageId":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","toolUseID":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","timestamp":"2026-03-11T05:09:57.481Z","uuid":"3f4dbb31-ff74-405c-8402-e1dbcc65df4e"} +{"parentUuid":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"79f61f09-a373-4fcf-bec9-7e54fc0a433f","timestamp":"2026-03-11T05:09:57.481Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}","newString":"func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\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.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":36,"oldLines":10,"newStart":36,"newLines":10,"lines":[" ConnectionMaxIdleTime time.Duration"," }"," ","-func setupSqlite(db *sql.DB) error {","+func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {"," pragmas := []string{"," \"temp_store = memory\",","- \"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under","+ fmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),"," }"," "," for _, pragma := range pragmas {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28"} +{"parentUuid":"79f61f09-a373-4fcf-bec9-7e54fc0a433f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017UR1brUKDBntwuzVx27wJ4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GfY7MxobUNib3iyXP3hUV1","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","new_string":"\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":445,"cache_read_input_tokens":32961,"output_tokens":216,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":445},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviWEbBAo2B9nRMPLZK6","type":"assistant","uuid":"d0471ebe-9947-41c3-bd6f-109daf7d7709","timestamp":"2026-03-11T05:10:02.428Z"} +{"parentUuid":"d0471ebe-9947-41c3-bd6f-109daf7d7709","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GfY7MxobUNib3iyXP3hUV1","toolUseID":"toolu_01GfY7MxobUNib3iyXP3hUV1","timestamp":"2026-03-11T05:10:02.448Z","uuid":"9479a409-a702-499b-9ddb-471055ac6e2a"} +{"parentUuid":"d0471ebe-9947-41c3-bd6f-109daf7d7709","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GfY7MxobUNib3iyXP3hUV1","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"9a990485-eaf6-4414-a2b3-b416649ea6ce","timestamp":"2026-03-11T05:10:02.448Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","newString":"\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))","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 repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":80,"oldLines":7,"newStart":80,"newLines":8,"lines":[" connectionURLParams.Add(\"_journal_mode\", \"WAL\")"," connectionURLParams.Add(\"_busy_timeout\", \"5000\")"," connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","- connectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","+ cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","+ connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"," connectionURLParams.Add(\"_foreign_keys\", \"true\")"," opts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d0471ebe-9947-41c3-bd6f-109daf7d7709"} +{"parentUuid":"9a990485-eaf6-4414-a2b3-b416649ea6ce","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016zxFvFtKYZDCBE4JJkGG23","type":"message","role":"assistant","content":[{"type":"text","text":"Now fix the call site and add the startup log:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":348,"cache_read_input_tokens":33406,"cache_creation":{"ephemeral_5m_input_tokens":348,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviWbmQ5FKKkjj7jYLuG","type":"assistant","uuid":"4bb1c280-d5f2-4565-a8d5-3621c9fc7746","timestamp":"2026-03-11T05:10:04.782Z"} +{"parentUuid":"4bb1c280-d5f2-4565-a8d5-3621c9fc7746","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016zxFvFtKYZDCBE4JJkGG23","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AbXzGcbbcHChPbdSMj9qEg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)","new_string":"\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":348,"cache_read_input_tokens":33406,"output_tokens":356,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":348},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviWbmQ5FKKkjj7jYLuG","type":"assistant","uuid":"e1427948-99a9-45c6-b1c2-aab12076025c","timestamp":"2026-03-11T05:10:08.487Z"} +{"parentUuid":"e1427948-99a9-45c6-b1c2-aab12076025c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01AbXzGcbbcHChPbdSMj9qEg","toolUseID":"toolu_01AbXzGcbbcHChPbdSMj9qEg","timestamp":"2026-03-11T05:10:08.503Z","uuid":"0fe03982-ac5c-4d00-abc8-069cfc9ec033"} +{"parentUuid":"e1427948-99a9-45c6-b1c2-aab12076025c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AbXzGcbbcHChPbdSMj9qEg","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"85064a13-f2e7-4069-a70d-062c1cf47ba8","timestamp":"2026-03-11T05:10:08.503Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)","newString":"\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)","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 repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":96,"oldLines":11,"newStart":96,"newLines":14,"lines":[" cclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())"," }"," ","- err = setupSqlite(dbHandle.DB)","+ err = setupSqlite(dbHandle.DB, repoConfig)"," if err != nil {"," cclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())"," }"," ","+ cclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",","+ repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)","+"," dbHandle.SetMaxOpenConns(opts.MaxOpenConnections)"," dbHandle.SetMaxIdleConns(opts.MaxIdleConnections)"," dbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e1427948-99a9-45c6-b1c2-aab12076025c"} +{"parentUuid":"85064a13-f2e7-4069-a70d-062c1cf47ba8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MLSMyHPDtfwa7JGvnuZqr1","type":"message","role":"assistant","content":[{"type":"text","text":"The diagnostic is stale — the edit already fixed it. Let me check if there's another call to `setupSqlite`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":488,"cache_read_input_tokens":33754,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviX3ePXFERXcFqL7oQe","type":"assistant","uuid":"5ba7046c-bc6c-4c19-b845-1b6c50e36dad","timestamp":"2026-03-11T05:10:11.640Z"} +{"parentUuid":"5ba7046c-bc6c-4c19-b845-1b6c50e36dad","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MLSMyHPDtfwa7JGvnuZqr1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VdNvgRKof5ytPfgWPNY2rD","name":"Grep","input":{"pattern":"setupSqlite","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":488,"cache_read_input_tokens":33754,"output_tokens":102,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":488},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviX3ePXFERXcFqL7oQe","type":"assistant","uuid":"e4db6fcb-6bf0-4e50-be00-fd15e2002564","timestamp":"2026-03-11T05:10:11.907Z"} +{"parentUuid":"e4db6fcb-6bf0-4e50-be00-fd15e2002564","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01VdNvgRKof5ytPfgWPNY2rD","toolUseID":"toolu_01VdNvgRKof5ytPfgWPNY2rD","timestamp":"2026-03-11T05:10:11.938Z","uuid":"2afbb09b-ec96-426e-bdd0-049e712f332e"} +{"parentUuid":"e4db6fcb-6bf0-4e50-be00-fd15e2002564","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VdNvgRKof5ytPfgWPNY2rD","type":"tool_result","content":"2026-03-11-054732-implement-the-following-plan.txt:28:│ The ANALYZE fix (already added to setupSqlite in dbConnection.go) resolves │\ninternal/repository/dbConnection.go:39:func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\ninternal/repository/dbConnection.go:99:\t\terr = setupSqlite(dbHandle.DB, repoConfig)"}]},"uuid":"e32aa535-2a52-42f2-b098-b12a87884cc1","timestamp":"2026-03-11T05:10:11.938Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"2026-03-11-054732-implement-the-following-plan.txt:28:│ The ANALYZE fix (already added to setupSqlite in dbConnection.go) resolves │\ninternal/repository/dbConnection.go:39:func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\ninternal/repository/dbConnection.go:99:\t\terr = setupSqlite(dbHandle.DB, repoConfig)","numLines":3},"sourceToolAssistantUUID":"e4db6fcb-6bf0-4e50-be00-fd15e2002564"} +{"parentUuid":"e32aa535-2a52-42f2-b098-b12a87884cc1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016CadUZBojJAQSb5fPqRrPS","type":"message","role":"assistant","content":[{"type":"text","text":"Good, only one call site.\n\n### 3. Add `DbConfig` struct to `ProgramConfig`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":221,"cache_read_input_tokens":34242,"cache_creation":{"ephemeral_5m_input_tokens":221,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviXJKSePruaYAJ1XWeo","type":"assistant","uuid":"624b73a0-5ace-4ae2-a667-ab2987574eef","timestamp":"2026-03-11T05:10:15.074Z"} +{"parentUuid":"624b73a0-5ace-4ae2-a667-ab2987574eef","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016CadUZBojJAQSb5fPqRrPS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/config.go","old_string":"\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n}","new_string":"\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}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":221,"cache_read_input_tokens":34242,"output_tokens":332,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":221},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviXJKSePruaYAJ1XWeo","type":"assistant","uuid":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","timestamp":"2026-03-11T05:10:18.897Z"} +{"type":"file-history-snapshot","messageId":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"},"internal/config/config.go":{"backupFileName":"3ea06adf552863be@v1","version":1,"backupTime":"2026-03-11T05:10:18.917Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","toolUseID":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","timestamp":"2026-03-11T05:10:18.920Z","uuid":"8eaa6738-5315-4f59-a008-87dd3458d0b8"} +{"parentUuid":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/config/config.go has been updated successfully."}]},"uuid":"05c31f0e-fe85-40a6-852c-4e4615eb0a57","timestamp":"2026-03-11T05:10:18.919Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/config/config.go","oldString":"\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n}","newString":"\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}","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\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}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\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":77,"oldLines":8,"newStart":77,"newLines":19,"lines":[" "," // Node state retention configuration"," NodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`","+","+ // Database tuning configuration","+ DbConfig *DbConfig `json:\"db-config\"`"," }"," ","+type DbConfig struct {","+ CacheSizeMB int `json:\"cache-size-mb\"`","+ SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`","+ MaxOpenConnections int `json:\"max-open-connections\"`","+ MaxIdleConnections int `json:\"max-idle-connections\"`","+ ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+}","+"," type NodeStateRetention struct {"," Policy string `json:\"policy\"` // \"delete\" or \"move\""," Age int `json:\"age\"` // hours, default 24"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"cd8891de-0b03-4664-8d24-d7e2e4db7d63"} +{"parentUuid":"05c31f0e-fe85-40a6-852c-4e4615eb0a57","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GKz71dNTEeTyhDfa6LiHzj","type":"message","role":"assistant","content":[{"type":"text","text":"### 4. Add JSON schema section for `db-config`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":371,"cache_read_input_tokens":34463,"cache_creation":{"ephemeral_5m_input_tokens":371,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviXpFG3PjKjg4KFheSv","type":"assistant","uuid":"34d15b77-5ab6-42a8-a162-b83a16fc22a6","timestamp":"2026-03-11T05:10:21.273Z"} +{"parentUuid":"34d15b77-5ab6-42a8-a162-b83a16fc22a6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GKz71dNTEeTyhDfa6LiHzj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go","old_string":" \"required\": [\"policy\"]\n }\n }\n}`","new_string":" \"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 }\n }\n }\n}`"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":371,"cache_read_input_tokens":34463,"output_tokens":429,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":371},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviXpFG3PjKjg4KFheSv","type":"assistant","uuid":"a527924f-5731-4523-8b85-064945a74e96","timestamp":"2026-03-11T05:10:30.000Z"} 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+{"parentUuid":"a527924f-5731-4523-8b85-064945a74e96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","toolUseID":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","timestamp":"2026-03-11T05:10:30.012Z","uuid":"8005c85c-8c0b-431b-a0e2-8d3d4894e1e1"} +{"parentUuid":"a527924f-5731-4523-8b85-064945a74e96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/config/schema.go has been updated successfully."}]},"uuid":"c10e80bb-4571-4c58-bb32-7b9f23138fae","timestamp":"2026-03-11T05:10:30.012Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go","oldString":" \"required\": [\"policy\"]\n }\n }\n}`","newString":" \"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 }\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 },\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 }\n}`\n","structuredPatch":[{"oldStart":177,"oldLines":6,"newStart":177,"newLines":32,"lines":[" }"," },"," \"required\": [\"policy\"]","+ },","+ \"db-config\": {","+ \"description\": \"SQLite database tuning configuration.\",","+ \"type\": \"object\",","+ \"properties\": {","+ \"cache-size-mb\": {","+ \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",","+ \"type\": \"integer\"","+ },","+ \"soft-heap-limit-mb\": {","+ \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",","+ \"type\": \"integer\"","+ },","+ \"max-open-connections\": {","+ \"description\": \"Maximum number of open database connections (default: 4).\",","+ \"type\": \"integer\"","+ },","+ \"max-idle-connections\": {","+ \"description\": \"Maximum number of idle database connections (default: 4).\",","+ \"type\": \"integer\"","+ },","+ \"max-idle-time-minutes\": {","+ \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",","+ \"type\": \"integer\"","+ }","+ }"," }"," }"," }`"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a527924f-5731-4523-8b85-064945a74e96"} +{"parentUuid":"c10e80bb-4571-4c58-bb32-7b9f23138fae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01LuU5tXb5m6JFdkocLqSjnw","type":"message","role":"assistant","content":[{"type":"text","text":"### 5. Wire `SetConfig()` in `initDatabase()`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":468,"cache_read_input_tokens":34834,"cache_creation":{"ephemeral_5m_input_tokens":468,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviYdeZc61LJMHsxQY5C","type":"assistant","uuid":"498fb0e7-e36d-4ef6-9e92-5032d137a6a6","timestamp":"2026-03-11T05:10:37.756Z"} +{"type":"file-history-snapshot","messageId":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"},"internal/config/config.go":{"backupFileName":"3ea06adf552863be@v1","version":1,"backupTime":"2026-03-11T05:10:18.917Z"},"internal/config/schema.go":{"backupFileName":"fde22c5208688a69@v1","version":1,"backupTime":"2026-03-11T05:10:30.010Z"},"cmd/cc-backend/main.go":{"backupFileName":"889aaad0c32aaf70@v1","version":1,"backupTime":"2026-03-11T05:10:41.244Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"498fb0e7-e36d-4ef6-9e92-5032d137a6a6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01LuU5tXb5m6JFdkocLqSjnw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRYXihPx87mPzwSwyxyn55","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go","old_string":"func initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}","new_string":"func initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":468,"cache_read_input_tokens":34834,"output_tokens":436,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":468},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviYdeZc61LJMHsxQY5C","type":"assistant","uuid":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","timestamp":"2026-03-11T05:10:41.220Z"} +{"parentUuid":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01QRYXihPx87mPzwSwyxyn55","toolUseID":"toolu_01QRYXihPx87mPzwSwyxyn55","timestamp":"2026-03-11T05:10:41.249Z","uuid":"ebfd8324-17d8-4ca0-84d2-969507622416"} +{"parentUuid":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QRYXihPx87mPzwSwyxyn55","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go has been updated successfully."}]},"uuid":"1aca7c34-8e15-4c90-8968-5bf15be82d89","timestamp":"2026-03-11T05:10:41.249Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go","oldString":"func initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}","newString":"func initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\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 main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\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/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _ _ ____ _ _ _\n/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles: strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. Load environment variables from .env file (contains sensitive configuration)\n\t// 2. Load configuration from config.json (may reference environment variables)\n\t// 3. Handle database migration commands if requested\n\t// 4. Initialize database connection (requires config for connection string)\n\t// 5. Handle user commands if requested (requires database and authentication config)\n\t// 6. Initialize subsystems like archive and metrics (require config and database)\n\n\t// Load environment and configuration\n\tif err := loadEnvironment(); err != nil {\n\t\treturn err\n\t}\n\n\tif err := initConfiguration(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle database migration (migrate, revert, force)\n\tif err := handleDatabaseCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize database\n\tif err := initDatabase(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle user commands (add, delete, sync, JWT)\n\tif err := handleUserCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems (archive, metrics, taggers)\n\tif err := initSubsystems(); err != nil {\n\t\treturn err\n\t}\n\n\t// Exit if start server is not requested\n\tif !flagServer {\n\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n\t}\n\n\t// Run server with context\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","structuredPatch":[{"oldStart":108,"oldLines":6,"newStart":108,"newLines":26,"lines":[" }"," "," func initDatabase() error {","+ if config.Keys.DbConfig != nil {","+ cfg := repository.DefaultConfig()","+ dc := config.Keys.DbConfig","+ if dc.CacheSizeMB > 0 {","+ cfg.DbCacheSizeMB = dc.CacheSizeMB","+ }","+ if dc.SoftHeapLimitMB > 0 {","+ cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB","+ }","+ if dc.MaxOpenConnections > 0 {","+ cfg.MaxOpenConnections = dc.MaxOpenConnections","+ }","+ if dc.MaxIdleConnections > 0 {","+ cfg.MaxIdleConnections = dc.MaxIdleConnections","+ }","+ if dc.ConnectionMaxIdleTimeMins > 0 {","+ cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute","+ }","+ repository.SetConfig(cfg)","+ }"," repository.Connect(config.Keys.DB)"," return nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29"} +{"parentUuid":"1aca7c34-8e15-4c90-8968-5bf15be82d89","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XYdmFeoGjQAJzhtYWCyGd7","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it builds:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":588,"cache_read_input_tokens":35302,"cache_creation":{"ephemeral_5m_input_tokens":588,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviZTgoydkWgFopZJKvF","type":"assistant","uuid":"159411cb-7567-4996-a9a2-c42e61e658b3","timestamp":"2026-03-11T05:10:43.694Z"} +{"parentUuid":"159411cb-7567-4996-a9a2-c42e61e658b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XYdmFeoGjQAJzhtYWCyGd7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CRTt2WD1JG6XvKAJchvVEL","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":588,"cache_read_input_tokens":35302,"output_tokens":114,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":588},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviZTgoydkWgFopZJKvF","type":"assistant","uuid":"19478eae-1bd2-4cc0-8bda-c82a6182f794","timestamp":"2026-03-11T05:10:44.092Z"} +{"parentUuid":"19478eae-1bd2-4cc0-8bda-c82a6182f794","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CRTt2WD1JG6XvKAJchvVEL","type":"tool_result","content":"","is_error":false}]},"uuid":"a6ae44f4-661b-4729-a5a0-a3a36ef71a18","timestamp":"2026-03-11T05:10:49.893Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"19478eae-1bd2-4cc0-8bda-c82a6182f794"} +{"parentUuid":"a6ae44f4-661b-4729-a5a0-a3a36ef71a18","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015bpPdskSd8PwD5VY4KPwnK","type":"message","role":"assistant","content":[{"type":"text","text":"Let me run the relevant tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":35890,"cache_creation":{"ephemeral_5m_input_tokens":125,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvia6d4fLA3585sP29BR","type":"assistant","uuid":"db20fdfe-fbba-4825-b3a8-31fdd45e3221","timestamp":"2026-03-11T05:10:51.763Z"} +{"parentUuid":"db20fdfe-fbba-4825-b3a8-31fdd45e3221","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015bpPdskSd8PwD5VY4KPwnK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A1CKjDUxDjH19X6ko18HmJ","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/config/...","description":"Run repository and config tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":35890,"cache_creation":{"ephemeral_5m_input_tokens":125,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvia6d4fLA3585sP29BR","type":"assistant","uuid":"98d16b1f-9145-422c-a84d-97c84a6fe812","timestamp":"2026-03-11T05:10:52.840Z"} +{"parentUuid":"98d16b1f-9145-422c-a84d-97c84a6fe812","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A1CKjDUxDjH19X6ko18HmJ","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.326s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/config\t0.386s","is_error":false}]},"uuid":"81139830-33be-4ff5-ac06-7cf98854eb9d","timestamp":"2026-03-11T05:10:55.325Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.326s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/config\t0.386s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"98d16b1f-9145-422c-a84d-97c84a6fe812"} +{"parentUuid":"81139830-33be-4ff5-ac06-7cf98854eb9d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013UFTS1RYCzTZBDVTH3iyv5","type":"message","role":"assistant","content":[{"type":"text","text":"All builds and tests pass. Here's a summary of what was implemented:\n\n**`internal/repository/config.go`** — Added `DbCacheSizeMB` (default 2048MB) and `DbSoftHeapLimitMB` (default 16384MB) fields to `RepositoryConfig`.\n\n**`internal/repository/dbConnection.go`** — Replaced hardcoded `_cache_size=-200000` with config-driven value; changed `setupSqlite()` to accept config and use `DbSoftHeapLimitMB` for the soft heap limit; added startup log line showing effective SQLite settings.\n\n**`internal/config/config.go`** — Added `DbConfig` struct with JSON-tagged fields and a `DbConfig` pointer field on `ProgramConfig`.\n\n**`internal/config/schema.go`** — Added `\"db-config\"` JSON schema section for validation.\n\n**`cmd/cc-backend/main.go`** — Wired `repository.SetConfig()` in `initDatabase()`, applying any `db-config` overrides from config.json before connecting.\n\nWithout `db-config` in config.json, the new defaults (2GB cache/conn, 16GB soft heap) apply. With it, operators can tune all values:\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":174,"cache_read_input_tokens":36015,"output_tokens":382,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":174},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviaVtYVMGnmWF9LNWzj","type":"assistant","uuid":"4f7970fc-a533-419d-aea6-dd62bf812eba","timestamp":"2026-03-11T05:11:04.929Z"} +{"parentUuid":"4f7970fc-a533-419d-aea6-dd62bf812eba","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"e12516d5-498f-4b7e-a9f6-b0dfcabef963","toolUseID":"e12516d5-498f-4b7e-a9f6-b0dfcabef963","timestamp":"2026-03-11T05:11:05.040Z","uuid":"ac8b21c8-5d95-46b7-9e18-e8cd53bad962"} diff --git a/e3/68e6d8abf3/0/metadata.json b/e3/68e6d8abf3/0/metadata.json new file mode 100644 index 00000000..5da9248d --- /dev/null +++ b/e3/68e6d8abf3/0/metadata.json @@ -0,0 +1,37 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "e368e6d8abf3", + "session_id": "50b2b10a-1be0-441f-aafb-3c5828f0fcc9", + "strategy": "manual-commit", + "created_at": "2026-03-11T05:14:06.988885Z", + "branch": "optimize-db-indices", + "checkpoints_count": 1, + "files_touched": [ + "cmd/cc-backend/main.go", + "internal/config/config.go", + "internal/config/schema.go", + "internal/repository/config.go", + "internal/repository/dbConnection.go", + "internal/repository/jobFind.go", + "internal/repository/jobQuery.go", + "internal/repository/stats.go" + ], + "agent": "Claude Code", + "turn_id": "2a56dd0625b9", + "token_usage": { + "input_tokens": 15, + "cache_creation_tokens": 27408, + "cache_read_tokens": 402383, + "output_tokens": 3673, + "api_call_count": 13 + }, + "initial_attribution": { + "calculated_at": "2026-03-11T05:14:06.919539Z", + "agent_lines": 94, + "human_added": 41, + "human_modified": 0, + "human_removed": 0, + "total_committed": 135, + "agent_percentage": 69.62962962962963 + } +} diff --git a/e3/68e6d8abf3/0/prompt.txt b/e3/68e6d8abf3/0/prompt.txt new file mode 100644 index 00000000..c9ab840d --- /dev/null +++ b/e3/68e6d8abf3/0/prompt.txt @@ -0,0 +1,188 @@ +Implement the following plan: + +# Make SQLite Memory Limits Configurable via config.json + +## Context + +Fixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json. + +## Current State (already implemented on this branch) + +- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable** +- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable** +- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default) +- `MaxOpenConnections = 4` (hardcoded default) +- Context propagation to all query call sites (already done) + +## Problem + +`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `"db-config"` section in `ProgramConfig` or the JSON schema. + +## Proposed Changes + +### 1. Add SQLite memory fields to `RepositoryConfig` + +**File:** `internal/repository/config.go` + +Add two new fields with sensible defaults: + +```go +type RepositoryConfig struct { + // ... existing fields ... + + // DbCacheSizeMB is the SQLite page cache size per connection in MB. + // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4 + // and DbCacheSizeMB=200, total page cache is up to 800MB. + // Default: 200 (MB) + DbCacheSizeMB int + + // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB. + // SQLite will try to release cache pages to stay under this limit. + // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive. + // Default: 1024 (1GB) + DbSoftHeapLimitMB int +} +``` + +Update `DefaultConfig()`: +```go +DbCacheSizeMB: 2048, // 2GB per connection +DbSoftHeapLimitMB: 16384, // 16GB process-wide +``` + +**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production. + +### 2. Use config values in `Connect()` and `setupSqlite()` + +**File:** `internal/repository/dbConnection.go` + +In `Connect()`, replace the hardcoded cache_size: +```go +cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB +connectionURLParams.Add("_cache_size", fmt.Sprintf("-%d", cacheSizeKiB)) +``` + +Change `setupSqlite()` to accept the config and use it for soft_heap_limit: +```go +func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error { + pragmas := []string{ + "temp_store = memory", + fmt.Sprintf("soft_heap_limit = %d", cfg.DbSoftHeapLimitMB*1024*1024), + } + // ... +} +``` + +Update the call site in `Connect()`: +```go +err = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB) +``` + +### 3. Add `"db-config"` section to `ProgramConfig` and JSON schema + +**File:** `internal/config/config.go` + +Add a new struct and field to `ProgramConfig`: + +```go +type DbConfig struct { + CacheSizeMB int `json:"cache-size-mb"` + SoftHeapLimitMB int `json:"soft-heap-limit-mb"` + MaxOpenConnections int `json:"max-open-connections"` + MaxIdleConnections int `json:"max-idle-connections"` + ConnectionMaxIdleTimeMins int `json:"max-idle-time-minutes"` +} + +type ProgramConfig struct { + // ... existing fields ... + DbConfig *DbConfig `json:"db-config"` +} +``` + +**File:** `internal/config/schema.go` + +Add the schema section for validation. + +### 4. Wire `SetConfig()` in `initDatabase()` + +**File:** `cmd/cc-backend/main.go` + +```go +func initDatabase() error { + if config.Keys.DbConfig != nil { + cfg := repository.DefaultConfig() + dc := config.Keys.DbConfig + if dc.CacheSizeMB > 0 { + cfg.DbCacheSizeMB = dc.CacheSizeMB + } + if dc.SoftHeapLimitMB > 0 { + cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB + } + if dc.MaxOpenConnections > 0 { + cfg.MaxOpenConnections = dc.MaxOpenConnections + } + if dc.MaxIdleConnections > 0 { + cfg.MaxIdleConnections = dc.MaxIdleConnections + } + if dc.ConnectionMaxIdleTimeMins > 0 { + cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute + } + repository.SetConfig(cfg) + } + repository.Connect(config.Keys.DB) + return nil +} +``` + +### 5. Log effective values on startup + +**File:** `internal/repository/dbConnection.go` + +After setting PRAGMAs, log the effective values so operators can verify: +```go +cclog.Infof("SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d", + repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections) +``` + +## Example config.json (for 512GB server with 80GB database) + +```json +{ + "main": { + "db": "./var/job.db", + "db-config": { + "cache-size-mb": 16384, + "soft-heap-limit-mb": 131072, + "max-open-connections": 8, + "max-idle-time-minutes": 30 + } + } +} +``` + +This would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM. + +**Sizing guidance (for documentation):** +- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum. +- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing. + +## Files to Modify + +| File | Changes | +|------|---------| +| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults | +| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log | +| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` | +| `internal/config/schema.go` | Add `"db-config"` JSON schema section | +| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` | + +## Verification + +1. `go build ./...` — compiles +2. `go test ./internal/repository/... ./internal/config/...` — tests pass +3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible +4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI +5. Check startup log shows effective values + + +If 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-CC-cc-backend/520afa6a-6a70-437b-96c1-35c40ed3ec48.jsonl \ No newline at end of file diff --git a/e3/68e6d8abf3/metadata.json b/e3/68e6d8abf3/metadata.json new file mode 100644 index 00000000..8971e564 --- /dev/null +++ b/e3/68e6d8abf3/metadata.json @@ -0,0 +1,33 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "e368e6d8abf3", + "strategy": "manual-commit", + "branch": "optimize-db-indices", + "checkpoints_count": 1, + "files_touched": [ + "cmd/cc-backend/main.go", + "internal/config/config.go", + "internal/config/schema.go", + "internal/repository/config.go", + "internal/repository/dbConnection.go", + "internal/repository/jobFind.go", + "internal/repository/jobQuery.go", + "internal/repository/stats.go" + ], + "sessions": [ + { + "metadata": "/e3/68e6d8abf3/0/metadata.json", + "transcript": "/e3/68e6d8abf3/0/full.jsonl", + "context": "/e3/68e6d8abf3/0/context.md", + "content_hash": "/e3/68e6d8abf3/0/content_hash.txt", + "prompt": "/e3/68e6d8abf3/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 15, + "cache_creation_tokens": 27408, + "cache_read_tokens": 402383, + "output_tokens": 3673, + "api_call_count": 13 + } +} From 10f88fa8eefa74e86fc81fc48aee0e7565abeeff Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Wed, 11 Mar 2026 06:14:07 +0100 Subject: [PATCH 5/6] Checkpoint: e368e6d8abf3 Entire-Session: 520afa6a-6a70-437b-96c1-35c40ed3ec48 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/301e590-e3b0c4 --- e3/68e6d8abf3/1/content_hash.txt | 1 + e3/68e6d8abf3/1/context.md | 24 ++++ e3/68e6d8abf3/1/full.jsonl | 213 +++++++++++++++++++++++++++++++ e3/68e6d8abf3/1/metadata.json | 34 +++++ e3/68e6d8abf3/1/prompt.txt | 136 ++++++++++++++++++++ e3/68e6d8abf3/metadata.json | 19 ++- 6 files changed, 421 insertions(+), 6 deletions(-) create mode 100644 e3/68e6d8abf3/1/content_hash.txt create mode 100644 e3/68e6d8abf3/1/context.md create mode 100644 e3/68e6d8abf3/1/full.jsonl create mode 100644 e3/68e6d8abf3/1/metadata.json create mode 100644 e3/68e6d8abf3/1/prompt.txt diff --git a/e3/68e6d8abf3/1/content_hash.txt b/e3/68e6d8abf3/1/content_hash.txt new file mode 100644 index 00000000..3927e843 --- /dev/null +++ b/e3/68e6d8abf3/1/content_hash.txt @@ -0,0 +1 @@ +sha256:f187013ac2acf6db7e6f13db2bfe1ab2c10050fe3d8ffd3d41122449dcf54b3c \ No newline at end of file diff --git a/e3/68e6d8abf3/1/context.md b/e3/68e6d8abf3/1/context.md new file mode 100644 index 00000000..5292445e --- /dev/null +++ b/e3/68e6d8abf3/1/context.md @@ -0,0 +1,24 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Fix SQLite Memory Not Released After Query Timeout + +## Context + +On the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration. + +## Root Cause Analysis + +### 1. `_cache_size=1000000000` is effectively unlimited (~4TB) + +**File:** `i... + +### Prompt 2 + +Our server has 512GB main memory. Does it make sense to make cache_size and soft_heap_limit configurable to make use of the main memory capacity? + diff --git a/e3/68e6d8abf3/1/full.jsonl b/e3/68e6d8abf3/1/full.jsonl new file mode 100644 index 00000000..2e0dfeed --- /dev/null +++ b/e3/68e6d8abf3/1/full.jsonl @@ -0,0 +1,213 @@ +{"type":"file-history-snapshot","messageId":"4a724aea-ee79-41a7-929d-fa3f906ac8b9","snapshot":{"messageId":"4a724aea-ee79-41a7-929d-fa3f906ac8b9","trackedFileBackups":{},"timestamp":"2026-03-11T05:01:36.839Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"2207cb14-e661-4342-b025-c6ee4f8c28a4","toolUseID":"2207cb14-e661-4342-b025-c6ee4f8c28a4","timestamp":"2026-03-11T05:01:36.797Z","uuid":"a8b0b488-3227-469c-b496-934922e9f367"} +{"parentUuid":"a8b0b488-3227-469c-b496-934922e9f367","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix SQLite Memory Not Released After Query Timeout\n\n## Context\n\nOn the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n\n## Root Cause Analysis\n\n### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n\n**File:** `internal/repository/dbConnection.go:82`\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n```\n\nSQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n\nFor comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n\n### 2. No query context/timeout — queries run indefinitely\n\n**File:** `internal/repository/jobQuery.go:87`\n\n```go\nrows, err := query.RunWith(r.stmtCache).Query() // No context!\n```\n\nThe `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n\n### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n\nSQLite has built-in memory management PRAGMAs that are not configured:\n- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n- **`shrink_memory`** — immediately releases all unused memory back to the OS\n\nNone of these are set, so SQLite allocates freely and never releases.\n\n### 4. `temp_store = memory` amplifies the problem\n\n**File:** `internal/repository/dbConnection.go:41`\n\nTemporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n\n### 5. Connections live for 1 hour after use\n\n`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n\n## Proposed Changes\n\n### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go:82`\n\nChange from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n```\n\nWith 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n\n### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n\n```go\n\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n```\n\nThis is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n\n### Fix 3: Pass context to database queries (medium impact, medium effort)\n\nChange `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n\n**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n\n**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n\n| File | Method | Line | Change |\n|------|--------|------|--------|\n| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n\nMethods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n\n### Fix 4: Reduce `ConnMaxIdleTime`\n\n**File:** `internal/repository/config.go`\n\nReduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n\n## Scope — All Four Fixes\n\nAll fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n\n## Files to Modify\n\n- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. Monitor RSS memory before/after on production:\n - Trigger a heavy query, observe memory spike\n - Verify memory drops back down within seconds (not hours)\n4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n5. `PRAGMA soft_heap_limit;` — should show `1073741824`\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-CC-cc-backend/c31c699a-f492-48f7-bcf0-35d3ceeac243.jsonl"},"uuid":"4a724aea-ee79-41a7-929d-fa3f906ac8b9","timestamp":"2026-03-11T05:01:34.044Z","planContent":"# Fix SQLite Memory Not Released After Query Timeout\n\n## Context\n\nOn the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n\n## Root Cause Analysis\n\n### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n\n**File:** `internal/repository/dbConnection.go:82`\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n```\n\nSQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n\nFor comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n\n### 2. No query context/timeout — queries run indefinitely\n\n**File:** `internal/repository/jobQuery.go:87`\n\n```go\nrows, err := query.RunWith(r.stmtCache).Query() // No context!\n```\n\nThe `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n\n### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n\nSQLite has built-in memory management PRAGMAs that are not configured:\n- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n- **`shrink_memory`** — immediately releases all unused memory back to the OS\n\nNone of these are set, so SQLite allocates freely and never releases.\n\n### 4. `temp_store = memory` amplifies the problem\n\n**File:** `internal/repository/dbConnection.go:41`\n\nTemporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n\n### 5. Connections live for 1 hour after use\n\n`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n\n## Proposed Changes\n\n### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go:82`\n\nChange from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n```\n\nWith 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n\n### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n\n```go\n\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n```\n\nThis is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n\n### Fix 3: Pass context to database queries (medium impact, medium effort)\n\nChange `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n\n**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n\n**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n\n| File | Method | Line | Change |\n|------|--------|------|--------|\n| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n\nMethods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n\n### Fix 4: Reduce `ConnMaxIdleTime`\n\n**File:** `internal/repository/config.go`\n\nReduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n\n## Scope — All Four Fixes\n\nAll fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n\n## Files to Modify\n\n- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. Monitor RSS memory before/after on production:\n - Trigger a heavy query, observe memory spike\n - Verify memory drops back down within seconds (not hours)\n4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n5. `PRAGMA soft_heap_limit;` — should show `1073741824`\n"} +{"parentUuid":"4a724aea-ee79-41a7-929d-fa3f906ac8b9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EoICCkYICxgCKkBHgN2UeZvCwmGQLUT1lci1RmXS8GvFO6QBbR0lTwucDfKJuxDQuAs0c5iaIbFwKKwuw2UPqq/nDgNaNrcpYcpHEgw8CBV0zTgUoz64jMAaDBbkztA7pDku4Xic7iIwL1kuLcdfEMbYki/6ssZFVP2WAMSg9KVIJVChV0ubqHzjC2BKqhlI126oGnx1XnCJKmqjQ4iBv8+LhF4RfOZpfVfzeg+D8aGuPl79aJ7dWgzL9PkGD+CVqmpYcM0s+dsh8azEbyNAsDJ05jTyW7KxYngoq7k36ohFz/UoF57opUDcMXPfZlRbKYkMLZY/cpdAWIzh7jmagVNfqfDuGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8833},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"57154933-cba3-43d3-b80e-2848f9685fe7","timestamp":"2026-03-11T05:01:39.634Z"} +{"parentUuid":"57154933-cba3-43d3-b80e-2848f9685fe7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BVouxo65S9Ysq9RgPFEKPu","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8833},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"45a469f0-4916-43d0-8046-d2d200e01fbc","timestamp":"2026-03-11T05:01:40.051Z"} +{"parentUuid":"45a469f0-4916-43d0-8046-d2d200e01fbc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01BVouxo65S9Ysq9RgPFEKPu","toolUseID":"toolu_01BVouxo65S9Ysq9RgPFEKPu","timestamp":"2026-03-11T05:01:40.077Z","uuid":"96e3441e-29d9-4b04-bbe7-65ce3b14da71"} +{"parentUuid":"45a469f0-4916-43d0-8046-d2d200e01fbc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BVouxo65S9Ysq9RgPFEKPu","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t}\n 43→\n 44→\tfor _, pragma := range pragmas {\n 45→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 46→\t\tif err != nil {\n 47→\t\t\treturn err\n 48→\t\t}\n 49→\t}\n 50→\n 51→\t// Update query planner statistics so SQLite picks optimal indexes.\n 52→\t// Without this, SQLite guesses row distributions and often chooses wrong\n 53→\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n 54→\t// in temp B-trees instead of using covering indexes.\n 55→\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n 56→\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n 57→\t}\n 58→\n 59→\treturn nil\n 60→}\n 61→\n 62→func Connect(db string) {\n 63→\tvar err error\n 64→\tvar dbHandle *sqlx.DB\n 65→\n 66→\tdbConnOnce.Do(func() {\n 67→\t\topts := DatabaseOptions{\n 68→\t\t\tURL: db,\n 69→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 70→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 71→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 72→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 73→\t\t}\n 74→\n 75→\t\t// TODO: Have separate DB handles for Writes and Reads\n 76→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 77→\t\tconnectionURLParams := make(url.Values)\n 78→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 79→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 80→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 81→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 82→\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n 83→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 84→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 85→\n 86→\t\tif cclog.Loglevel() == \"debug\" {\n 87→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 88→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 89→\t\t} else {\n 90→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 91→\t\t}\n 92→\n 93→\t\tif err != nil {\n 94→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 95→\t\t}\n 96→\n 97→\t\terr = setupSqlite(dbHandle.DB)\n 98→\t\tif err != nil {\n 99→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 100→\t\t}\n 101→\n 102→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 103→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 104→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 105→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 106→\n 107→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 108→\t\terr = checkDBVersion(dbHandle.DB)\n 109→\t\tif err != nil {\n 110→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 111→\t\t}\n 112→\t})\n 113→}\n 114→\n 115→func GetConnection() *DBConnection {\n 116→\tif dbConnInstance == nil {\n 117→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 118→\t}\n 119→\n 120→\treturn dbConnInstance\n 121→}\n 122→\n 123→// ResetConnection closes the current database connection and resets the connection state.\n 124→// This function is intended for testing purposes only to allow test isolation.\n 125→func ResetConnection() error {\n 126→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 127→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 128→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 129→\t\t}\n 130→\t}\n 131→\n 132→\tdbConnInstance = nil\n 133→\tdbConnOnce = sync.Once{}\n 134→\tjobRepoInstance = nil\n 135→\tjobRepoOnce = sync.Once{}\n 136→\tnodeRepoInstance = nil\n 137→\tnodeRepoOnce = sync.Once{}\n 138→\tuserRepoInstance = nil\n 139→\tuserRepoOnce = sync.Once{}\n 140→\tuserCfgRepoInstance = nil\n 141→\tuserCfgRepoOnce = sync.Once{}\n 142→\n 143→\treturn nil\n 144→}\n 145→"}]},"uuid":"d0285193-a0e9-4d8a-a884-387675f0fb93","timestamp":"2026-03-11T05:01:40.076Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":145,"startLine":1,"totalLines":145}},"sourceToolAssistantUUID":"45a469f0-4916-43d0-8046-d2d200e01fbc"} +{"parentUuid":"d0285193-a0e9-4d8a-a884-387675f0fb93","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017Ej4fS9A7Hz7CNiz4C6Nr8","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8833},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"d7c67007-e407-41c7-bfc5-fdfc54f55bd1","timestamp":"2026-03-11T05:01:40.569Z"} +{"parentUuid":"d7c67007-e407-41c7-bfc5-fdfc54f55bd1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_017Ej4fS9A7Hz7CNiz4C6Nr8","toolUseID":"toolu_017Ej4fS9A7Hz7CNiz4C6Nr8","timestamp":"2026-03-11T05:01:40.582Z","uuid":"ac62f583-4aa3-4aad-8e3b-7b7669ad05fb"} +{"parentUuid":"d7c67007-e407-41c7-bfc5-fdfc54f55bd1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017Ej4fS9A7Hz7CNiz4C6Nr8","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 1 hour\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→}\n 38→\n 39→// DefaultConfig returns the default repository configuration.\n 40→// These values are optimized for typical deployments.\n 41→func DefaultConfig() *RepositoryConfig {\n 42→\treturn &RepositoryConfig{\n 43→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 44→\t\tMaxOpenConnections: 4,\n 45→\t\tMaxIdleConnections: 4,\n 46→\t\tConnectionMaxLifetime: time.Hour,\n 47→\t\tConnectionMaxIdleTime: time.Hour,\n 48→\t\tMinRunningJobDuration: 600, // 10 minutes\n 49→\t}\n 50→}\n 51→\n 52→// repoConfig is the package-level configuration instance.\n 53→// It is initialized with defaults and can be overridden via SetConfig.\n 54→var repoConfig *RepositoryConfig = DefaultConfig()\n 55→\n 56→// SetConfig sets the repository configuration.\n 57→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 58→// If not called, default values from DefaultConfig() are used.\n 59→func SetConfig(cfg *RepositoryConfig) {\n 60→\tif cfg != nil {\n 61→\t\trepoConfig = cfg\n 62→\t}\n 63→}\n 64→\n 65→// GetConfig returns the current repository configuration.\n 66→func GetConfig() *RepositoryConfig {\n 67→\treturn repoConfig\n 68→}\n 69→"}]},"uuid":"1817a21e-bd43-49d0-9563-4af344c9dc65","timestamp":"2026-03-11T05:01:40.582Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/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\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 1 hour\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: time.Hour,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":69,"startLine":1,"totalLines":69}},"sourceToolAssistantUUID":"d7c67007-e407-41c7-bfc5-fdfc54f55bd1"} +{"parentUuid":"1817a21e-bd43-49d0-9563-4af344c9dc65","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fw84CDZrpzjetNq5ePJK35","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8833},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"52c1fca4-c9ba-4347-b01c-aa175486d4eb","timestamp":"2026-03-11T05:01:41.076Z"} +{"parentUuid":"52c1fca4-c9ba-4347-b01c-aa175486d4eb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Fw84CDZrpzjetNq5ePJK35","toolUseID":"toolu_01Fw84CDZrpzjetNq5ePJK35","timestamp":"2026-03-11T05:01:41.091Z","uuid":"e3a8cbf9-396e-4b09-96cb-a440a3adf8ea"} +{"parentUuid":"52c1fca4-c9ba-4347-b01c-aa175486d4eb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fw84CDZrpzjetNq5ePJK35","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\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/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"6b9cfc21-268a-46ac-8d27-14a25063cbc0","timestamp":"2026-03-11T05:01:41.090Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.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 repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\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\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":439,"startLine":1,"totalLines":439}},"sourceToolAssistantUUID":"52c1fca4-c9ba-4347-b01c-aa175486d4eb"} +{"parentUuid":"6b9cfc21-268a-46ac-8d27-14a25063cbc0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MvmrS6HRyPbR6VcxjnKEHf","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8833},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"5b4bc6bd-552c-4979-bcde-bc6e1e726842","timestamp":"2026-03-11T05:01:41.587Z"} +{"parentUuid":"5b4bc6bd-552c-4979-bcde-bc6e1e726842","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01MvmrS6HRyPbR6VcxjnKEHf","toolUseID":"toolu_01MvmrS6HRyPbR6VcxjnKEHf","timestamp":"2026-03-11T05:01:41.829Z","uuid":"24af1880-3691-4ab9-b72f-c29559f0dce8"} +{"parentUuid":"5b4bc6bd-552c-4979-bcde-bc6e1e726842","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MvmrS6HRyPbR6VcxjnKEHf","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRow()\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).Query()\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).Query()\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→"}]},"uuid":"0726bf91-dabe-439e-a6e6-9f72afb11ae2","timestamp":"2026-03-11T05:01:41.828Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1122,"startLine":1,"totalLines":1122}},"sourceToolAssistantUUID":"5b4bc6bd-552c-4979-bcde-bc6e1e726842"} +{"parentUuid":"0726bf91-dabe-439e-a6e6-9f72afb11ae2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01141KDjZ4GvFWJSbM7oMSN4","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8833},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"b9bcce1d-ae8c-4184-94be-9383ba3f0631","timestamp":"2026-03-11T05:01:42.042Z"} +{"parentUuid":"b9bcce1d-ae8c-4184-94be-9383ba3f0631","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PRqzmUw2xM1Ra5kk6M4d2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018xr6d2BUf6fjuki1nZHX8q","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8833,"cache_read_input_tokens":8781,"output_tokens":390,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8833,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhsLHSzP7FPK81HS9pG","type":"assistant","uuid":"a1e1f3b1-f2f5-4ad2-8d0f-47fc42ed89de","timestamp":"2026-03-11T05:01:42.047Z"} +{"parentUuid":"a1e1f3b1-f2f5-4ad2-8d0f-47fc42ed89de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_018xr6d2BUf6fjuki1nZHX8q","toolUseID":"toolu_018xr6d2BUf6fjuki1nZHX8q","timestamp":"2026-03-11T05:01:42.051Z","uuid":"f2710aae-5bd4-46a0-8e8f-82025ff44bd1"} +{"parentUuid":"a1e1f3b1-f2f5-4ad2-8d0f-47fc42ed89de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018xr6d2BUf6fjuki1nZHX8q","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"d6b66f05-698c-40ed-9294-018e5593cc88","timestamp":"2026-03-11T05:01:42.050Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Find executes a SQL query to find a specific batch job.\n// The job is queried using the batch job id, the cluster name,\n// and the start time of the job in UNIX epoch time seconds.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) Find(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) (*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tq := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n\t}\n\n\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n\n\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n// The job is queried using the batch job id, and optionally filtered by cluster name\n// and start time (UNIX epoch time seconds). This method uses cached job data which\n// may be stale but provides faster access than Find().\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindCached(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) (*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n\t}\n\n\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n// Jobs are queried using the batch job id, and optionally filtered by cluster name\n// and start time (UNIX epoch time seconds).\n// It returns a slice of pointers to schema.Job data structures and an error variable.\n// An empty slice is returned if no matching jobs are found.\nfunc (r *JobRepository) FindAll(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) ([]*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tq := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 10)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n\treturn jobs, nil\n}\n\n// GetJobList returns job IDs for non-running jobs.\n// This is useful to process large job counts and intended to be used\n// together with FindById to process jobs one by one.\n// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\nfunc (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n\tquery := sq.Select(\"id\").From(\"job\").\n\t\tWhere(\"job.job_state != 'running'\")\n\n\t// Add pagination if limit is specified\n\tif limit > 0 {\n\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tjl := make([]int64, 0, 1000)\n\tfor rows.Next() {\n\t\tvar id int64\n\t\terr := rows.Scan(&id)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n\t\t}\n\t\tjl = append(jl, id)\n\t}\n\n\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n\treturn jl, nil\n}\n\n// FindByID executes a SQL query to find a specific batch job.\n// The job is queried using the database id.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\n\tq, qerr := SecurityCheck(ctx, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByIDWithUser executes a SQL query to find a specific batch job.\n// The job is queried using the database id. The user is passed directly,\n// instead as part of the context.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\n\tq, qerr := SecurityCheckWithUser(user, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByIDDirect executes a SQL query to find a specific batch job.\n// The job is queried using the database id.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByJobID executes a SQL query to find a specific batch job.\n// The job is queried using the slurm id and the clustername.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").\n\t\tWhere(\"job.job_id = ?\", jobID).\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.start_time = ?\", startTime)\n\n\tq, qerr := SecurityCheck(ctx, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n// This method does not return errors; it returns false for both non-existent jobs\n// and jobs owned by other users.\nfunc (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n\tq := sq.Select(\"id\").\n\t\tFrom(\"job\").\n\t\tWhere(\"job.job_id = ?\", jobID).\n\t\tWhere(\"job.hpc_user = ?\", user).\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.start_time = ?\", startTime)\n\n\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n\t}\n\treturn err != sql.ErrNoRows\n}\n\nfunc (r *JobRepository) FindConcurrentJobs(\n\tctx context.Context,\n\tjob *schema.Job,\n) (*model.JobLinkResultList, error) {\n\tif job == nil {\n\t\treturn nil, nil\n\t}\n\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Where(\"cluster = ?\", job.Cluster)\n\n\tif len(job.Resources) == 0 {\n\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n\t}\n\n\tvar startTime int64\n\tvar stopTime int64\n\n\tstartTime = job.StartTime\n\thostname := job.Resources[0].Hostname\n\n\tif job.State == schema.JobStateRunning {\n\t\tstopTime = time.Now().Unix()\n\t} else {\n\t\tstopTime = startTime + int64(job.Duration)\n\t}\n\n\t// Time buffer constant for finding overlapping jobs\n\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n\tconst overlapBufferEnd = 200\n\n\tstopTimeTail := stopTime - overlapBufferEnd\n\tstartTimeFront := startTime + overlapBufferEnd\n\n\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n\n\tquery = query.Where(\"job.job_state != ?\", \"running\").\n\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\titems := make([]*model.JobLink, 0, 10)\n\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n\n\tfor rows.Next() {\n\t\tvar id, jobID, startTime sql.NullInt64\n\n\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n\t\t\titems = append(items,\n\t\t\t\t&model.JobLink{\n\t\t\t\t\tID: fmt.Sprint(id.Int64),\n\t\t\t\t\tJobID: int(jobID.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar id, jobID, startTime sql.NullInt64\n\n\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n\t\t\titems = append(items,\n\t\t\t\t&model.JobLink{\n\t\t\t\t\tID: fmt.Sprint(id.Int64),\n\t\t\t\t\tJobID: int(jobID.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tcnt := len(items)\n\n\treturn &model.JobLinkResultList{\n\t\tListQuery: &queryString,\n\t\tItems: items,\n\t\tCount: &cnt,\n\t}, nil\n}\n","numLines":352,"startLine":1,"totalLines":352}},"sourceToolAssistantUUID":"a1e1f3b1-f2f5-4ad2-8d0f-47fc42ed89de"} +{"parentUuid":"d6b66f05-698c-40ed-9294-018e5593cc88","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01141KDjZ4GvFWJSbM7oMSN4","toolUseID":"toolu_01141KDjZ4GvFWJSbM7oMSN4","timestamp":"2026-03-11T05:01:42.267Z","uuid":"323fbfcd-4303-42b5-b993-623157d2a06b"} +{"parentUuid":"b9bcce1d-ae8c-4184-94be-9383ba3f0631","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01141KDjZ4GvFWJSbM7oMSN4","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/520afa6a-6a70-437b-96c1-35c40ed3ec48/tool-results/toolu_01141KDjZ4GvFWJSbM7oMSN4.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"0e7816b4-2772-4008-9f63-c6abf9617921","timestamp":"2026-03-11T05:01:42.266Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.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 repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n// - JobRepository: Job lifecycle management and querying\n// - UserRepository: User management and authentication\n// - NodeRepository: Cluster node state tracking\n// - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB *sqlx.DB // Database connection pool\n\tstmtCache *sq.StmtCache // Prepared statement cache for query optimization\n\tcache *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver string // Database driver name (e.g., \"sqlite3\")\n\tMutex sync.Mutex // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n// - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n// - job: Job struct with valid ID, existing metadata will be fetched if not present\n// - key: Metadata key to set\n// - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n// - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n// - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n// - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n// 1. If searchterm is numeric, treat as job ID (returned immediately)\n// 2. Try exact match in job.hpc_user column (username)\n// 3. Try LIKE match in hpc_user.name column (real name)\n// 4. Try exact match in job.project column (project ID)\n// 5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n// - user: Authenticated user context, required for database access\n// - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - searchterm: Value to search for (exact match or LIKE pattern)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n// - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - query: Search pattern (always uses LIKE with wildcards)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n// - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n// - monitoring_status: MonitoringStatusArchivingFailed\n// - duration: 0\n// - job_state: JobStateFailed\n//\n// Parameters:\n// - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n// - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n// - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n// - startTimeEnd: Unix timestamp for range end\n// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n// - job: Database ID of the job to update\n// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n// - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n// - stmt: Existing UpdateBuilder to modify\n// - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n// - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t// / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster string\n\t\trawResources []byte\n\t\tresources []*schema.Resource\n\t\tskippedRows int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range nodeSet {\n\t\tlist := make([]string, 0, len(nodes))\n\t\tfor node := range nodes {\n\t\t\tlist = append(list, node)\n\t\t}\n\t\tsort.Strings(list)\n\t\tnodeList[cluster] = list\n\t}\n\n\treturn nodeList, nil\n}\n","numLines":1137,"startLine":1,"totalLines":1137}},"sourceToolAssistantUUID":"b9bcce1d-ae8c-4184-94be-9383ba3f0631"} 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+{"parentUuid":"6041a302-e2c0-4e3a-a655-4f72582a240e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01NjPkDE7qGZE9F6vE7k2yDh","type":"message","role":"assistant","content":[{"type":"text","text":"Let me find the `CountGroupedJobs` method in job.go."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5069,"cache_creation_input_tokens":27101,"cache_read_input_tokens":17614,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":27101},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhsjSjCWA1V9aJ4bcc9","type":"assistant","uuid":"c9944a57-3411-4566-8148-fb3dbf7627cc","timestamp":"2026-03-11T05:01:47.729Z"} 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Now let me check how `scanJob` works with `QueryRow` — I need to verify whether squirrel's `RunWith(stmtCache).QueryRow()` returns something that supports `QueryRowContext`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":123,"cache_read_input_tokens":49995,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":123},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhtQo5zKfPL2RPyfYuo","type":"assistant","uuid":"476b28dc-a13a-41f7-9a6b-3e4f862bccdc","timestamp":"2026-03-11T05:01:55.717Z"} 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scanJob","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content","-A":5},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":123,"cache_read_input_tokens":49995,"output_tokens":190,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":123,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhtQo5zKfPL2RPyfYuo","type":"assistant","uuid":"6887fc03-283c-41eb-83bc-9401d3f44875","timestamp":"2026-03-11T05:01:56.410Z"} 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Let me implement all four fixes.\n\n**Fix 1: Cache size** and **Fix 2: soft_heap_limit** in `dbConnection.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":528,"cache_read_input_tokens":50118,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":528},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhtmuqkHGsq7Bsc5XV3","type":"assistant","uuid":"ccb8800c-2d14-4b0a-ac10-be6ab66aa1f1","timestamp":"2026-03-11T05:02:04.524Z"} +{"parentUuid":"ccb8800c-2d14-4b0a-ac10-be6ab66aa1f1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QvwPeeLse4EqQe1o5eGa4m","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GPnNiw42gR7R8EiMkgz24b","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")","new_string":"\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":528,"cache_read_input_tokens":50118,"output_tokens":420,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":528,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhtmuqkHGsq7Bsc5XV3","type":"assistant","uuid":"ce7ed030-5dc8-4970-9af0-e5600daba5a8","timestamp":"2026-03-11T05:02:06.422Z"} +{"type":"file-history-snapshot","messageId":"ce7ed030-5dc8-4970-9af0-e5600daba5a8","snapshot":{"messageId":"4a724aea-ee79-41a7-929d-fa3f906ac8b9","trackedFileBackups":{"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:02:06.448Z"}},"timestamp":"2026-03-11T05:01:36.839Z"},"isSnapshotUpdate":true} +{"parentUuid":"ce7ed030-5dc8-4970-9af0-e5600daba5a8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GPnNiw42gR7R8EiMkgz24b","toolUseID":"toolu_01GPnNiw42gR7R8EiMkgz24b","timestamp":"2026-03-11T05:02:06.450Z","uuid":"54b63dde-2f2f-4e34-8db2-ee55c948c4c3"} +{"parentUuid":"ce7ed030-5dc8-4970-9af0-e5600daba5a8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GPnNiw42gR7R8EiMkgz24b","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"790e08ae-8653-4dd7-8f1f-78dde3d4e75f","timestamp":"2026-03-11T05:02:06.450Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")","newString":"\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","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 repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":79,"oldLines":7,"newStart":79,"newLines":7,"lines":[" connectionURLParams.Add(\"_journal_mode\", \"WAL\")"," connectionURLParams.Add(\"_busy_timeout\", \"5000\")"," connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","- connectionURLParams.Add(\"_cache_size\", \"1000000000\")","+ connectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)"," connectionURLParams.Add(\"_foreign_keys\", \"true\")"," opts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ce7ed030-5dc8-4970-9af0-e5600daba5a8"} +{"parentUuid":"790e08ae-8653-4dd7-8f1f-78dde3d4e75f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01HsWnagnU8Z7Ak7FasxWTBE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018LeEXjKdL8ttZSpYHkcvMb","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}","new_string":"\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":477,"cache_read_input_tokens":50646,"output_tokens":180,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":477,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhuWf6HPMt7C2fdGmGT","type":"assistant","uuid":"0a0c34a7-a9a5-41b1-8248-d20ddb32173d","timestamp":"2026-03-11T05:02:10.061Z"} +{"parentUuid":"0a0c34a7-a9a5-41b1-8248-d20ddb32173d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018LeEXjKdL8ttZSpYHkcvMb","toolUseID":"toolu_018LeEXjKdL8ttZSpYHkcvMb","timestamp":"2026-03-11T05:02:10.083Z","uuid":"fcdf91a8-b6db-4281-acad-e439391f21fc"} +{"parentUuid":"0a0c34a7-a9a5-41b1-8248-d20ddb32173d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018LeEXjKdL8ttZSpYHkcvMb","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"1e75e308-a752-4207-ac2e-545c48726ea0","timestamp":"2026-03-11T05:02:10.083Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}","newString":"\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\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.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":39,"oldLines":6,"newStart":39,"newLines":7,"lines":[" func setupSqlite(db *sql.DB) error {"," pragmas := []string{"," \"temp_store = memory\",","+ \"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under"," }"," "," for _, pragma := range pragmas {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0a0c34a7-a9a5-41b1-8248-d20ddb32173d"} +{"parentUuid":"1e75e308-a752-4207-ac2e-545c48726ea0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YUK2GE3Po95V1H1mvee2Hb","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 3: Pass context to database queries.**\n\n`jobQuery.go` — `QueryJobs` and `CountJobs`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":239,"cache_read_input_tokens":51123,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":239},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhunFD729tWaBXAUEb5","type":"assistant","uuid":"bc995217-7ec7-411e-a39b-01fc30683f60","timestamp":"2026-03-11T05:02:12.909Z"} +{"parentUuid":"bc995217-7ec7-411e-a39b-01fc30683f60","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YUK2GE3Po95V1H1mvee2Hb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012KYCMeWmpi5bXERLEjz8UV","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go","old_string":"\trows, err := query.RunWith(r.stmtCache).Query()","new_string":"\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":239,"cache_read_input_tokens":51123,"output_tokens":200,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":239,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhunFD729tWaBXAUEb5","type":"assistant","uuid":"76803912-fa39-4ae2-9213-5de9f10dd6e7","timestamp":"2026-03-11T05:02:13.854Z"} 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/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go has been updated successfully."}]},"uuid":"dc981823-5b8a-4651-9b15-d7ef5fbffdb3","timestamp":"2026-03-11T05:02:13.868Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go","oldString":"\trows, err := query.RunWith(r.stmtCache).Query()","newString":"\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)","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 repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\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\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":84,"oldLines":7,"newStart":84,"newLines":7,"lines":[" query = BuildWhereClause(f, query)"," }"," ","- rows, err := query.RunWith(r.stmtCache).Query()","+ rows, err := query.RunWith(r.stmtCache).QueryContext(ctx)"," if err != nil {"," queryString, queryVars, _ := query.ToSql()"," return nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"76803912-fa39-4ae2-9213-5de9f10dd6e7"} 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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 repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\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\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":126,"oldLines":7,"newStart":126,"newLines":7,"lines":[" }"," "," var count int","- if err := query.RunWith(r.DB).Scan(&count); err != nil {","+ if err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {"," return 0, fmt.Errorf(\"failed to count jobs: %w\", err)"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"54dd23b8-31f4-476d-877d-2ba3bd5320c5"} +{"parentUuid":"84b899d2-e96d-4505-96da-6fa0bdf94e4b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01G4EHT94fj3XCLPN91W78ss","type":"message","role":"assistant","content":[{"type":"text","text":"`stats.go` — all methods with ctx:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":219,"cache_read_input_tokens":51602,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":219},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhvHa4kjoJARuvJ4iqV","type":"assistant","uuid":"612784de-c5e3-45d0-96ea-b1855473450c","timestamp":"2026-03-11T05:02:18.768Z"} +{"parentUuid":"612784de-c5e3-45d0-96ea-b1855473450c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01G4EHT94fj3XCLPN91W78ss","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012DqfnspKBr56XebhrFGdKx","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {","new_string":"\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":219,"cache_read_input_tokens":51602,"output_tokens":1219,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":219,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhvHa4kjoJARuvJ4iqV","type":"assistant","uuid":"db3bbffa-b89e-4988-b123-62030343789b","timestamp":"2026-03-11T05:02:29.747Z"} +{"type":"file-history-snapshot","messageId":"db3bbffa-b89e-4988-b123-62030343789b","snapshot":{"messageId":"4a724aea-ee79-41a7-929d-fa3f906ac8b9","trackedFileBackups":{"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:02:06.448Z"},"internal/repository/jobQuery.go":{"backupFileName":"33536efde97b8b50@v1","version":1,"backupTime":"2026-03-11T05:02:13.866Z"},"internal/repository/stats.go":{"backupFileName":"4426319480f78977@v1","version":1,"backupTime":"2026-03-11T05:02:29.753Z"}},"timestamp":"2026-03-11T05:01:36.839Z"},"isSnapshotUpdate":true} +{"parentUuid":"db3bbffa-b89e-4988-b123-62030343789b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_012DqfnspKBr56XebhrFGdKx","toolUseID":"toolu_012DqfnspKBr56XebhrFGdKx","timestamp":"2026-03-11T05:02:29.755Z","uuid":"bc863780-e1ab-4e2d-8f2e-11d71ecde134"} +{"parentUuid":"db3bbffa-b89e-4988-b123-62030343789b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012DqfnspKBr56XebhrFGdKx","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"6116b843-a948-49c7-8dd6-d416c66dc919","timestamp":"2026-03-11T05:02:29.755Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {","newString":"\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":230,"oldLines":7,"newStart":230,"newLines":7,"lines":[" query = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)"," }"," ","- rows, err := query.RunWith(r.DB).Query()","+ rows, err := query.RunWith(r.DB).QueryContext(ctx)"," if err != nil {"," cclog.Warn(\"Error while querying DB for job statistics\")"," return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"db3bbffa-b89e-4988-b123-62030343789b"} +{"parentUuid":"6116b843-a948-49c7-8dd6-d416c66dc919","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017S9jYkHrQgMYKSNfputwhx","type":"message","role":"assistant","content":[{"type":"text","text":"Now `JobsStats` — `QueryRow` → `QueryRowContext`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":51821,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1258},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhwEKPNeNU6jdSd7Tzy","type":"assistant","uuid":"d19fc70e-fb1d-4b85-9500-6a597b866bb4","timestamp":"2026-03-11T05:02:32.284Z"} +{"parentUuid":"d19fc70e-fb1d-4b85-9500-6a597b866bb4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017S9jYkHrQgMYKSNfputwhx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014Ucs3tD12kxRoCZF7g5dJb","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trow := query.RunWith(r.DB).QueryRow()","new_string":"\trow := query.RunWith(r.DB).QueryRowContext(ctx)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":51821,"output_tokens":178,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1258,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhwEKPNeNU6jdSd7Tzy","type":"assistant","uuid":"941e39ea-fa06-4bef-8f51-a91865d3dd4a","timestamp":"2026-03-11T05:02:33.690Z"} +{"parentUuid":"941e39ea-fa06-4bef-8f51-a91865d3dd4a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014Ucs3tD12kxRoCZF7g5dJb","toolUseID":"toolu_014Ucs3tD12kxRoCZF7g5dJb","timestamp":"2026-03-11T05:02:33.705Z","uuid":"b26d66e0-041c-4606-9aa1-9f78a8fd3a93"} +{"parentUuid":"941e39ea-fa06-4bef-8f51-a91865d3dd4a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014Ucs3tD12kxRoCZF7g5dJb","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"e7affcfb-dba6-41d8-9c0c-3c7b126f9024","timestamp":"2026-03-11T05:02:33.705Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trow := query.RunWith(r.DB).QueryRow()","newString":"\trow := query.RunWith(r.DB).QueryRowContext(ctx)","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":355,"oldLines":7,"newStart":355,"newLines":7,"lines":[" return nil, err"," }"," ","- row := query.RunWith(r.DB).QueryRow()","+ row := query.RunWith(r.DB).QueryRowContext(ctx)"," stats := make([]*model.JobsStatistics, 0, 1)"," "," var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"941e39ea-fa06-4bef-8f51-a91865d3dd4a"} +{"parentUuid":"e7affcfb-dba6-41d8-9c0c-3c7b126f9024","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01NM9ChNDts55N1SKrFTk6GA","type":"message","role":"assistant","content":[{"type":"text","text":"Now `JobCountGrouped` — line 443:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":328,"cache_read_input_tokens":53079,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":328},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhwXXyvfJ4oqTSDz2Wk","type":"assistant","uuid":"718078b4-c816-4076-8e4f-873e9ee15b62","timestamp":"2026-03-11T05:02:36.780Z"} +{"parentUuid":"718078b4-c816-4076-8e4f-873e9ee15b62","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01NM9ChNDts55N1SKrFTk6GA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017znNyj6VWBKWPfToftkS44","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}","new_string":"\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":328,"cache_read_input_tokens":53079,"output_tokens":652,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":328,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhwXXyvfJ4oqTSDz2Wk","type":"assistant","uuid":"f72e74e9-f29f-428c-8683-b3dc2dd99937","timestamp":"2026-03-11T05:02:41.903Z"} +{"parentUuid":"f72e74e9-f29f-428c-8683-b3dc2dd99937","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017znNyj6VWBKWPfToftkS44","toolUseID":"toolu_017znNyj6VWBKWPfToftkS44","timestamp":"2026-03-11T05:02:41.926Z","uuid":"b35e6586-d971-4e45-b764-41dd99fe285d"} +{"parentUuid":"f72e74e9-f29f-428c-8683-b3dc2dd99937","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017znNyj6VWBKWPfToftkS44","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"2f233a37-acdc-483e-a0f0-8766030dc22d","timestamp":"2026-03-11T05:02:41.926Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}","newString":"\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":440,"oldLines":7,"newStart":440,"newLines":7,"lines":[" if err != nil {"," return nil, err"," }","- rows, err := query.RunWith(r.DB).Query()","+ rows, err := 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/Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"1b930fc0-683a-4125-b1fc-0496bc08c743","timestamp":"2026-03-11T05:02:45.502Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)","newString":"\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":501,"oldLines":7,"newStart":501,"newLines":7,"lines":[" if err != nil {"," return nil, err"," }","- rows, err := query.RunWith(r.DB).Query()","+ rows, err := query.RunWith(r.DB).QueryContext(ctx)"," if err != nil {"," cclog.Warn(\"Error while querying DB for job statistics\")"," return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ddad595c-3b6c-4d00-9451-d4112eef1b95"} +{"parentUuid":"1b930fc0-683a-4125-b1fc-0496bc08c743","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JvrPJ6q5SmRU2Utng3onAu","type":"message","role":"assistant","content":[{"type":"text","text":"Now `AddJobCount` — line 569:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":318,"cache_read_input_tokens":54098,"cache_creation":{"ephemeral_5m_input_tokens":318,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhxPdWAXY9MdPBsbrxT","type":"assistant","uuid":"adafe1b8-f930-45ef-86f1-bffb6b0f5bec","timestamp":"2026-03-11T05:02:47.359Z"} +{"parentUuid":"adafe1b8-f930-45ef-86f1-bffb6b0f5bec","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JvrPJ6q5SmRU2Utng3onAu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012NHyo1jLUGzZBfAgdmcVVm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); 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err != nil {","newString":"\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":566,"oldLines":7,"newStart":566,"newLines":7,"lines":[" return nil, err"," }"," var cnt sql.NullInt64","- if err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {","+ if err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {"," cclog.Warn(\"Error while querying DB for job count\")"," return nil, err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3d965fc9-ba99-42ca-ad18-7f61af319d03"} +{"parentUuid":"20a7ba70-dfa3-44d2-8151-9d834029f457","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01A4aa5G2tdzwAAN17mhBhX3","type":"message","role":"assistant","content":[{"type":"text","text":"Now the histogram methods — `jobsStatisticsHistogram` line 758:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":232,"cache_read_input_tokens":54416,"cache_creation":{"ephemeral_5m_input_tokens":232,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhxc9aRGYZCjAET8cWb","type":"assistant","uuid":"2ffdee9a-b02e-463e-92cc-2527ca5b3d3b","timestamp":"2026-03-11T05:03:03.075Z"} +{"parentUuid":"2ffdee9a-b02e-463e-92cc-2527ca5b3d3b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01A4aa5G2tdzwAAN17mhBhX3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qfj27yXKSJhFkVUjtLQeGy","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount","new_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":232,"cache_read_input_tokens":54416,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":232},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhxc9aRGYZCjAET8cWb","type":"assistant","uuid":"8a3a93b5-8760-4781-bba0-608fe0e892bb","timestamp":"2026-03-11T05:03:06.144Z"} +{"parentUuid":"8a3a93b5-8760-4781-bba0-608fe0e892bb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Qfj27yXKSJhFkVUjtLQeGy","toolUseID":"toolu_01Qfj27yXKSJhFkVUjtLQeGy","timestamp":"2026-03-11T05:03:06.162Z","uuid":"1fa18c45-2cc3-47d0-8a2d-18649a4125a1"} +{"parentUuid":"8a3a93b5-8760-4781-bba0-608fe0e892bb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qfj27yXKSJhFkVUjtLQeGy","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"aaa0bd58-90ea-4a48-a34e-bac0aad5654c","timestamp":"2026-03-11T05:03:06.162Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount","newString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":755,"oldLines":7,"newStart":755,"newLines":7,"lines":[" query = BuildWhereClause(f, query)"," }"," ","- rows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()","+ rows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)"," if err != nil {"," cclog.Error(\"Error while running query\")"," return nil, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8a3a93b5-8760-4781-bba0-608fe0e892bb"} +{"parentUuid":"aaa0bd58-90ea-4a48-a34e-bac0aad5654c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Lzus9xT8gaxFaA7QjxR7pa","type":"message","role":"assistant","content":[{"type":"text","text":"`jobsDurationStatisticsHistogram` line 832:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":369,"cache_read_input_tokens":54648,"cache_creation":{"ephemeral_5m_input_tokens":369,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhyuxAnkXbdYUMydtfA","type":"assistant","uuid":"627a2059-3b0a-4fdc-8fdb-decddd94e042","timestamp":"2026-03-11T05:03:08.127Z"} +{"parentUuid":"627a2059-3b0a-4fdc-8fdb-decddd94e042","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Lzus9xT8gaxFaA7QjxR7pa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01He14ju9D6EvjafWJ6msi6R","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.","new_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":369,"cache_read_input_tokens":54648,"output_tokens":280,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":369},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhyuxAnkXbdYUMydtfA","type":"assistant","uuid":"e55e5d58-e418-4b15-942f-a7542712316d","timestamp":"2026-03-11T05:03:10.121Z"} +{"parentUuid":"e55e5d58-e418-4b15-942f-a7542712316d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01He14ju9D6EvjafWJ6msi6R","toolUseID":"toolu_01He14ju9D6EvjafWJ6msi6R","timestamp":"2026-03-11T05:03:10.141Z","uuid":"2e873687-f0e1-453f-be5e-d418931855e4"} +{"parentUuid":"e55e5d58-e418-4b15-942f-a7542712316d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01He14ju9D6EvjafWJ6msi6R","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"0b9b183c-eda6-4120-b859-b2d9a3a18193","timestamp":"2026-03-11T05:03:10.141Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.","newString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":829,"oldLines":7,"newStart":829,"newLines":7,"lines":[" query = BuildWhereClause(f, query)"," }"," ","- rows, err := 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962:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":430,"cache_read_input_tokens":55017,"cache_creation":{"ephemeral_5m_input_tokens":430,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvhzCz6mL6tY25LLVRhE","type":"assistant","uuid":"1e1f242f-30d4-4c78-9d34-83393dc8bf35","timestamp":"2026-03-11T05:03:13.746Z"} +{"parentUuid":"1e1f242f-30d4-4c78-9d34-83393dc8bf35","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015uSjLVZ16aAsse6pP9QWrR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014aFqFQJkSNmKCan3qgZnD9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.","new_string":"\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":430,"cache_read_input_tokens":55017,"output_tokens":293,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":430},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhzCz6mL6tY25LLVRhE","type":"assistant","uuid":"8604094b-4bbe-41af-9bc2-e7c9a5595267","timestamp":"2026-03-11T05:03:15.898Z"} 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/Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"845149de-ff29-4bf8-8333-589dc0c5b14f","timestamp":"2026-03-11T05:03:15.923Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.","newString":"\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.","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// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":959,"oldLines":7,"newStart":959,"newLines":7,"lines":[" "," mainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")"," ","- rows, err := 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/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go has been updated successfully."}]},"uuid":"b0686ab6-4400-4aee-bbdc-842712fa553c","timestamp":"2026-03-11T05:03:20.837Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go","oldString":"\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByIDWithUser executes a SQL query to find a specific batch job.","newString":"\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n}\n\n// FindByIDWithUser executes a SQL query to find a specific batch job.","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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Find executes a SQL query to find a specific batch job.\n// The job is queried using the batch job id, the cluster name,\n// and the start time of the job in UNIX epoch time seconds.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) Find(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) (*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tq := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n\t}\n\n\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n\n\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n// The job is queried using the batch job id, and optionally filtered by cluster name\n// and start time (UNIX epoch time seconds). This method uses cached job data which\n// may be stale but provides faster access than Find().\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindCached(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) (*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n\t}\n\n\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n// Jobs are queried using the batch job id, and optionally filtered by cluster name\n// and start time (UNIX epoch time seconds).\n// It returns a slice of pointers to schema.Job data structures and an error variable.\n// An empty slice is returned if no matching jobs are found.\nfunc (r *JobRepository) FindAll(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) ([]*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tq := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 10)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n\treturn jobs, nil\n}\n\n// GetJobList returns job IDs for non-running jobs.\n// This is useful to process large job counts and intended to be used\n// together with FindById to process jobs one by one.\n// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\nfunc (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n\tquery := sq.Select(\"id\").From(\"job\").\n\t\tWhere(\"job.job_state != 'running'\")\n\n\t// Add pagination if limit is specified\n\tif limit > 0 {\n\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tjl := make([]int64, 0, 1000)\n\tfor rows.Next() {\n\t\tvar id int64\n\t\terr := rows.Scan(&id)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n\t\t}\n\t\tjl = append(jl, id)\n\t}\n\n\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n\treturn jl, nil\n}\n\n// FindByID executes a SQL query to find a specific batch job.\n// The job is queried using the database id.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\n\tq, qerr := SecurityCheck(ctx, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByIDWithUser executes a SQL query to find a specific batch job.\n// The job is queried using the database id. The user is passed directly,\n// instead as part of the context.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\n\tq, qerr := SecurityCheckWithUser(user, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByIDDirect executes a SQL query to find a specific batch job.\n// The job is queried using the database id.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByJobID executes a SQL query to find a specific batch job.\n// The job is queried using the slurm id and the clustername.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").\n\t\tWhere(\"job.job_id = ?\", jobID).\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.start_time = ?\", startTime)\n\n\tq, qerr := SecurityCheck(ctx, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n// This method does not return errors; it returns false for both non-existent jobs\n// and jobs owned by other users.\nfunc (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n\tq := sq.Select(\"id\").\n\t\tFrom(\"job\").\n\t\tWhere(\"job.job_id = ?\", jobID).\n\t\tWhere(\"job.hpc_user = ?\", user).\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.start_time = ?\", startTime)\n\n\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n\t}\n\treturn err != sql.ErrNoRows\n}\n\nfunc (r *JobRepository) FindConcurrentJobs(\n\tctx context.Context,\n\tjob *schema.Job,\n) (*model.JobLinkResultList, error) {\n\tif job == nil {\n\t\treturn nil, nil\n\t}\n\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Where(\"cluster = ?\", job.Cluster)\n\n\tif len(job.Resources) == 0 {\n\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n\t}\n\n\tvar startTime int64\n\tvar stopTime int64\n\n\tstartTime = job.StartTime\n\thostname := job.Resources[0].Hostname\n\n\tif job.State == schema.JobStateRunning {\n\t\tstopTime = time.Now().Unix()\n\t} else {\n\t\tstopTime = startTime + int64(job.Duration)\n\t}\n\n\t// Time buffer constant for finding overlapping jobs\n\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n\tconst overlapBufferEnd = 200\n\n\tstopTimeTail := stopTime - overlapBufferEnd\n\tstartTimeFront := startTime + overlapBufferEnd\n\n\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n\n\tquery = query.Where(\"job.job_state != ?\", \"running\").\n\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\titems := make([]*model.JobLink, 0, 10)\n\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n\n\tfor rows.Next() {\n\t\tvar id, jobID, startTime sql.NullInt64\n\n\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n\t\t\titems = append(items,\n\t\t\t\t&model.JobLink{\n\t\t\t\t\tID: fmt.Sprint(id.Int64),\n\t\t\t\t\tJobID: int(jobID.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar id, jobID, startTime sql.NullInt64\n\n\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n\t\t\titems = append(items,\n\t\t\t\t&model.JobLink{\n\t\t\t\t\tID: fmt.Sprint(id.Int64),\n\t\t\t\t\tJobID: int(jobID.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tcnt := len(items)\n\n\treturn &model.JobLinkResultList{\n\t\tListQuery: &queryString,\n\t\tItems: items,\n\t\tCount: &cnt,\n\t}, nil\n}\n","structuredPatch":[{"oldStart":171,"oldLines":7,"newStart":171,"newLines":7,"lines":[" return nil, qerr"," }"," ","- return scanJob(q.RunWith(r.stmtCache).QueryRow())","+ return scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))"," }"," "," // FindByIDWithUser executes a SQL query to find a specific batch job."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"09ff3f79-a48d-4512-ae6d-120837325da8"} +{"parentUuid":"b0686ab6-4400-4aee-bbdc-842712fa553c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01DuGMuHM6KjKdodXrWGC3rU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WtoBgc5oiTsradaZ39oCGw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go","old_string":"\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,","new_string":"\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":273,"cache_read_input_tokens":55779,"output_tokens":216,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":273},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvhzzhhXxgfRxuW9XpST","type":"assistant","uuid":"a94f958b-d84c-459b-888e-5a743bf9b6b1","timestamp":"2026-03-11T05:03:24.317Z"} +{"parentUuid":"a94f958b-d84c-459b-888e-5a743bf9b6b1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01WtoBgc5oiTsradaZ39oCGw","toolUseID":"toolu_01WtoBgc5oiTsradaZ39oCGw","timestamp":"2026-03-11T05:03:24.330Z","uuid":"ac766221-882c-413d-af7f-b7e713875a87"} +{"parentUuid":"a94f958b-d84c-459b-888e-5a743bf9b6b1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WtoBgc5oiTsradaZ39oCGw","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go has been updated successfully."}]},"uuid":"e48cb08e-06e6-4458-b20a-bb2dc63534a4","timestamp":"2026-03-11T05:03:24.330Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go","oldString":"\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,","newString":"\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,","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 repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Find executes a SQL query to find a specific batch job.\n// The job is queried using the batch job id, the cluster name,\n// and the start time of the job in UNIX epoch time seconds.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) Find(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) (*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tq := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n\t}\n\n\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n\n\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n// The job is queried using the batch job id, and optionally filtered by cluster name\n// and start time (UNIX epoch time seconds). This method uses cached job data which\n// may be stale but provides faster access than Find().\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindCached(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) (*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n\t}\n\n\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n// Jobs are queried using the batch job id, and optionally filtered by cluster name\n// and start time (UNIX epoch time seconds).\n// It returns a slice of pointers to schema.Job data structures and an error variable.\n// An empty slice is returned if no matching jobs are found.\nfunc (r *JobRepository) FindAll(\n\tjobID *int64,\n\tcluster *string,\n\tstartTime *int64,\n) ([]*schema.Job, error) {\n\tif jobID == nil {\n\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tq := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.job_id = ?\", *jobID)\n\n\tif cluster != nil {\n\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n\t}\n\tif startTime != nil {\n\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 10)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n\treturn jobs, nil\n}\n\n// GetJobList returns job IDs for non-running jobs.\n// This is useful to process large job counts and intended to be used\n// together with FindById to process jobs one by one.\n// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\nfunc (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n\tquery := sq.Select(\"id\").From(\"job\").\n\t\tWhere(\"job.job_state != 'running'\")\n\n\t// Add pagination if limit is specified\n\tif limit > 0 {\n\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tjl := make([]int64, 0, 1000)\n\tfor rows.Next() {\n\t\tvar id int64\n\t\terr := rows.Scan(&id)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n\t\t}\n\t\tjl = append(jl, id)\n\t}\n\n\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n\treturn jl, nil\n}\n\n// FindByID executes a SQL query to find a specific batch job.\n// The job is queried using the database id.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\n\tq, qerr := SecurityCheck(ctx, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n}\n\n// FindByIDWithUser executes a SQL query to find a specific batch job.\n// The job is queried using the database id. The user is passed directly,\n// instead as part of the context.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\n\tq, qerr := SecurityCheckWithUser(user, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByIDDirect executes a SQL query to find a specific batch job.\n// The job is queried using the database id.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// FindByJobID executes a SQL query to find a specific batch job.\n// The job is queried using the slurm id and the clustername.\n// It returns a pointer to a schema.Job data structure and an error variable.\n// To check if no job was found test err == sql.ErrNoRows\nfunc (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n\tq := sq.Select(jobColumns...).\n\t\tFrom(\"job\").\n\t\tWhere(\"job.job_id = ?\", jobID).\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.start_time = ?\", startTime)\n\n\tq, qerr := SecurityCheck(ctx, q)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n}\n\n// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n// This method does not return errors; it returns false for both non-existent jobs\n// and jobs owned by other users.\nfunc (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n\tq := sq.Select(\"id\").\n\t\tFrom(\"job\").\n\t\tWhere(\"job.job_id = ?\", jobID).\n\t\tWhere(\"job.hpc_user = ?\", user).\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.start_time = ?\", startTime)\n\n\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n\t}\n\treturn err != sql.ErrNoRows\n}\n\nfunc (r *JobRepository) FindConcurrentJobs(\n\tctx context.Context,\n\tjob *schema.Job,\n) (*model.JobLinkResultList, error) {\n\tif job == nil {\n\t\treturn nil, nil\n\t}\n\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Where(\"cluster = ?\", job.Cluster)\n\n\tif len(job.Resources) == 0 {\n\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n\t}\n\n\tvar startTime int64\n\tvar stopTime int64\n\n\tstartTime = job.StartTime\n\thostname := job.Resources[0].Hostname\n\n\tif job.State == schema.JobStateRunning {\n\t\tstopTime = time.Now().Unix()\n\t} else {\n\t\tstopTime = startTime + int64(job.Duration)\n\t}\n\n\t// Time buffer constant for finding overlapping jobs\n\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n\tconst overlapBufferEnd = 200\n\n\tstopTimeTail := stopTime - overlapBufferEnd\n\tstartTimeFront := startTime + overlapBufferEnd\n\n\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n\n\tquery = query.Where(\"job.job_state != ?\", \"running\").\n\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\titems := make([]*model.JobLink, 0, 10)\n\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n\n\tfor rows.Next() {\n\t\tvar id, jobID, startTime sql.NullInt64\n\n\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n\t\t\titems = append(items,\n\t\t\t\t&model.JobLink{\n\t\t\t\t\tID: fmt.Sprint(id.Int64),\n\t\t\t\t\tJobID: int(jobID.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar id, jobID, startTime sql.NullInt64\n\n\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n\t\t\titems = append(items,\n\t\t\t\t&model.JobLink{\n\t\t\t\t\tID: fmt.Sprint(id.Int64),\n\t\t\t\t\tJobID: int(jobID.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tcnt := len(items)\n\n\treturn &model.JobLinkResultList{\n\t\tListQuery: &queryString,\n\t\tItems: items,\n\t\tCount: &cnt,\n\t}, nil\n}\n","structuredPatch":[{"oldStart":217,"oldLines":7,"newStart":217,"newLines":7,"lines":[" return nil, qerr"," }"," ","- return scanJob(q.RunWith(r.stmtCache).QueryRow())","+ return scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))"," }"," "," // IsJobOwner checks if the specified user owns the batch job identified by jobID,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a94f958b-d84c-459b-888e-5a743bf9b6b1"} 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 1 hour\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: time.Hour,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":44,"oldLines":7,"newStart":44,"newLines":7,"lines":[" MaxOpenConnections: 4,"," MaxIdleConnections: 4,"," ConnectionMaxLifetime: time.Hour,","- ConnectionMaxIdleTime: time.Hour,","+ ConnectionMaxIdleTime: 10 * time.Minute,"," MinRunningJobDuration: 600, // 10 minutes"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"993da51d-f346-422c-b817-94af870a35de"} 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/Users/jan/prg/CC/cc-backend/internal/repository/config.go has been updated successfully."}]},"uuid":"955e1fd9-7234-467c-a917-8dc8f6d564b2","timestamp":"2026-03-11T05:03:30.921Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","oldString":"\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 1 hour","newString":"\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes","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 repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 1 hour\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":27,"oldLines":7,"newStart":27,"newLines":7,"lines":[" ConnectionMaxLifetime time.Duration"," "," // ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.","- // Default: 1 hour","+ // Default: 10 minutes"," ConnectionMaxIdleTime time.Duration"," "," // MinRunningJobDuration is the minimum duration in seconds for a job to be"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d2265c53-bc30-43a1-aadb-244cbf827e8f"} +{"parentUuid":"955e1fd9-7234-467c-a917-8dc8f6d564b2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01CE1Fh1bgBfH6hJRF9qX1M5","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it builds and run the tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":230,"cache_read_input_tokens":56529,"cache_creation":{"ephemeral_5m_input_tokens":230,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvi1jqGKCGzRFgpR41sD","type":"assistant","uuid":"aca87186-9500-4432-9fa5-65a4bea41101","timestamp":"2026-03-11T05:03:33.144Z"} +{"parentUuid":"aca87186-9500-4432-9fa5-65a4bea41101","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01CE1Fh1bgBfH6hJRF9qX1M5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ud67nBtB2kdpqBSE7fL6Xd","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":230,"cache_read_input_tokens":56529,"output_tokens":118,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":230},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvi1jqGKCGzRFgpR41sD","type":"assistant","uuid":"a272ea7f-f4b7-46bc-8257-81a75645942d","timestamp":"2026-03-11T05:03:33.686Z"} +{"parentUuid":"a272ea7f-f4b7-46bc-8257-81a75645942d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ud67nBtB2kdpqBSE7fL6Xd","type":"tool_result","content":"","is_error":false}]},"uuid":"380ad9c3-7adb-4fe1-a71c-2b3e09c87d13","timestamp":"2026-03-11T05:03:40.266Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a272ea7f-f4b7-46bc-8257-81a75645942d"} +{"parentUuid":"380ad9c3-7adb-4fe1-a71c-2b3e09c87d13","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01LheoKGEF7W7xWqnBsdnZGA","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Now run the repository tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":223,"cache_read_input_tokens":56759,"cache_creation":{"ephemeral_5m_input_tokens":223,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvi2Rm752YbcPfuPxzHi","type":"assistant","uuid":"4d7d5fd2-d540-450d-bde3-d5577448e546","timestamp":"2026-03-11T05:03:42.637Z"} +{"parentUuid":"4d7d5fd2-d540-450d-bde3-d5577448e546","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01LheoKGEF7W7xWqnBsdnZGA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VniDtmyLP1K88iYhrGDSZM","name":"Bash","input":{"command":"go test ./internal/repository/... -v -count=1 2>&1 | tail -50","description":"Run repository tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":223,"cache_read_input_tokens":56759,"output_tokens":137,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":223},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvi2Rm752YbcPfuPxzHi","type":"assistant","uuid":"ed433bd7-0726-492c-b95c-6e324a3e0781","timestamp":"2026-03-11T05:03:43.188Z"} +{"parentUuid":"ed433bd7-0726-492c-b95c-6e324a3e0781","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VniDtmyLP1K88iYhrGDSZM","type":"tool_result","content":" --- PASS: TestDelUser/delete_non-existent_user (0.00s)\n=== RUN TestListUsers\n=== RUN TestListUsers/list_all_users\n=== RUN TestListUsers/list_special_users_only\n--- PASS: TestListUsers (0.01s)\n --- PASS: TestListUsers/list_all_users (0.00s)\n --- PASS: TestListUsers/list_special_users_only (0.00s)\n=== RUN TestGetLdapUsernames\n--- PASS: TestGetLdapUsernames (0.01s)\n=== RUN TestAddRole\n=== RUN TestAddRole/add_valid_role\n=== RUN TestAddRole/add_duplicate_role\n=== RUN TestAddRole/add_invalid_role\n--- PASS: TestAddRole (0.01s)\n --- PASS: TestAddRole/add_valid_role (0.00s)\n --- PASS: TestAddRole/add_duplicate_role (0.00s)\n --- PASS: TestAddRole/add_invalid_role (0.00s)\n=== RUN TestRemoveRole\n=== RUN TestRemoveRole/remove_existing_role\n=== RUN TestRemoveRole/remove_non-existent_role\n=== RUN TestRemoveRole/remove_manager_role_with_projects\n--- PASS: TestRemoveRole (0.01s)\n --- PASS: TestRemoveRole/remove_existing_role (0.00s)\n --- PASS: TestRemoveRole/remove_non-existent_role (0.00s)\n --- PASS: TestRemoveRole/remove_manager_role_with_projects (0.00s)\n=== RUN TestAddProject\n=== RUN TestAddProject/add_project_to_manager\n=== RUN TestAddProject/add_project_to_non-manager\n=== RUN TestAddProject/add_duplicate_project\n--- PASS: TestAddProject (0.01s)\n --- PASS: TestAddProject/add_project_to_manager (0.00s)\n --- PASS: TestAddProject/add_project_to_non-manager (0.00s)\n --- PASS: TestAddProject/add_duplicate_project (0.00s)\n=== RUN TestRemoveProject\n=== RUN TestRemoveProject/remove_existing_project\n=== RUN TestRemoveProject/remove_non-existent_project\n=== RUN TestRemoveProject/remove_project_from_non-manager\n--- PASS: TestRemoveProject (0.01s)\n --- PASS: TestRemoveProject/remove_existing_project (0.00s)\n --- PASS: TestRemoveProject/remove_non-existent_project (0.00s)\n --- PASS: TestRemoveProject/remove_project_from_non-manager (0.00s)\n=== RUN TestGetUserFromContext\n=== RUN TestGetUserFromContext/get_user_from_context\n=== RUN TestGetUserFromContext/get_user_from_empty_context\n<4>[WARNING] 2026/03/11 06:03:45 user.go:470: no user retrieved from context\n--- PASS: TestGetUserFromContext (0.00s)\n --- PASS: TestGetUserFromContext/get_user_from_context (0.00s)\n --- PASS: TestGetUserFromContext/get_user_from_empty_context (0.00s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.097s","is_error":false}]},"uuid":"398822fd-3e09-41f9-8ac2-e3ee2f285317","timestamp":"2026-03-11T05:03:45.407Z","toolUseResult":{"stdout":" --- PASS: TestDelUser/delete_non-existent_user (0.00s)\n=== RUN TestListUsers\n=== RUN TestListUsers/list_all_users\n=== RUN TestListUsers/list_special_users_only\n--- PASS: TestListUsers (0.01s)\n --- PASS: TestListUsers/list_all_users (0.00s)\n --- PASS: TestListUsers/list_special_users_only (0.00s)\n=== RUN TestGetLdapUsernames\n--- PASS: TestGetLdapUsernames (0.01s)\n=== RUN TestAddRole\n=== RUN TestAddRole/add_valid_role\n=== RUN TestAddRole/add_duplicate_role\n=== RUN TestAddRole/add_invalid_role\n--- PASS: TestAddRole (0.01s)\n --- PASS: TestAddRole/add_valid_role (0.00s)\n --- PASS: TestAddRole/add_duplicate_role (0.00s)\n --- PASS: TestAddRole/add_invalid_role (0.00s)\n=== RUN TestRemoveRole\n=== RUN TestRemoveRole/remove_existing_role\n=== RUN TestRemoveRole/remove_non-existent_role\n=== RUN TestRemoveRole/remove_manager_role_with_projects\n--- PASS: TestRemoveRole (0.01s)\n --- PASS: TestRemoveRole/remove_existing_role (0.00s)\n --- PASS: TestRemoveRole/remove_non-existent_role (0.00s)\n --- PASS: TestRemoveRole/remove_manager_role_with_projects (0.00s)\n=== RUN TestAddProject\n=== RUN TestAddProject/add_project_to_manager\n=== RUN TestAddProject/add_project_to_non-manager\n=== RUN TestAddProject/add_duplicate_project\n--- PASS: TestAddProject (0.01s)\n --- PASS: TestAddProject/add_project_to_manager (0.00s)\n --- PASS: TestAddProject/add_project_to_non-manager (0.00s)\n --- PASS: TestAddProject/add_duplicate_project (0.00s)\n=== RUN TestRemoveProject\n=== RUN TestRemoveProject/remove_existing_project\n=== RUN TestRemoveProject/remove_non-existent_project\n=== RUN TestRemoveProject/remove_project_from_non-manager\n--- PASS: TestRemoveProject (0.01s)\n --- PASS: TestRemoveProject/remove_existing_project (0.00s)\n --- PASS: TestRemoveProject/remove_non-existent_project (0.00s)\n --- PASS: TestRemoveProject/remove_project_from_non-manager (0.00s)\n=== RUN TestGetUserFromContext\n=== RUN TestGetUserFromContext/get_user_from_context\n=== RUN TestGetUserFromContext/get_user_from_empty_context\n<4>[WARNING] 2026/03/11 06:03:45 user.go:470: no user retrieved from context\n--- PASS: TestGetUserFromContext (0.00s)\n --- PASS: TestGetUserFromContext/get_user_from_context (0.00s)\n --- PASS: TestGetUserFromContext/get_user_from_empty_context (0.00s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.097s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ed433bd7-0726-492c-b95c-6e324a3e0781"} +{"parentUuid":"398822fd-3e09-41f9-8ac2-e3ee2f285317","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013DxkXdUAFkkKQBy1DjJtrL","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of all changes:\n\n### Fix 1: Cache size (`dbConnection.go:82`)\nChanged `_cache_size` from `1000000000` (~4TB) to `-200000` (200MB per connection in KiB notation). With 4 max connections, total page cache is capped at ~800MB.\n\n### Fix 2: Soft heap limit (`dbConnection.go:41`)\nAdded `soft_heap_limit = 1073741824` (1GB) PRAGMA. This is process-wide — SQLite will evict cache pages to stay under limit.\n\n### Fix 3: Context propagation (12 call sites)\nChanged `.Query()` → `.QueryContext(ctx)` and `.QueryRow()` → `.QueryRowContext(ctx)` in:\n- `jobQuery.go`: `QueryJobs`, `CountJobs`\n- `stats.go`: `JobsStatsGrouped`, `JobsStats`, `JobCountGrouped`, `AddJobCountGrouped`, `AddJobCount`, `jobsStatisticsHistogram`, `jobsDurationStatisticsHistogram`, `jobsMetricStatisticsHistogram`\n- `jobFind.go`: `FindByID`, `FindByJobID`\n\nThis ensures HTTP request cancellation/timeout stops the underlying SQLite query.\n\n### Fix 4: Idle connection timeout (`config.go`)\nReduced `ConnectionMaxIdleTime` from 1 hour to 10 minutes, so connections with bloated caches are released sooner."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1046,"cache_read_input_tokens":56982,"output_tokens":357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1046},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvi2ouNUohhSFMzTUKNx","type":"assistant","uuid":"66046969-3889-4640-8506-816cba7e19b7","timestamp":"2026-03-11T05:03:55.699Z"} +{"parentUuid":"66046969-3889-4640-8506-816cba7e19b7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"4d48ccbc-00d9-46ee-8f48-46f6fb114760","toolUseID":"4d48ccbc-00d9-46ee-8f48-46f6fb114760","timestamp":"2026-03-11T05:03:55.726Z","uuid":"968e1bbd-bd05-4144-8bf9-119d042f9e16"} +{"parentUuid":"968e1bbd-bd05-4144-8bf9-119d042f9e16","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":641}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-11T05:03:56.367Z","uuid":"764233de-3b74-4434-b0c9-3cbce88c1a1e","toolUseID":"4d48ccbc-00d9-46ee-8f48-46f6fb114760"} +{"parentUuid":"764233de-3b74-4434-b0c9-3cbce88c1a1e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"system","subtype":"turn_duration","durationMs":139522,"timestamp":"2026-03-11T05:03:56.368Z","uuid":"a884881a-ce84-43e7-8a35-0052b1913e5e","isMeta":false} +{"type":"file-history-snapshot","messageId":"8f04deee-26cc-4f0e-b463-f24f7b407eec","snapshot":{"messageId":"8f04deee-26cc-4f0e-b463-f24f7b407eec","trackedFileBackups":{"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v2","version":2,"backupTime":"2026-03-11T05:05:35.870Z"},"internal/repository/jobQuery.go":{"backupFileName":"33536efde97b8b50@v2","version":2,"backupTime":"2026-03-11T05:05:35.871Z"},"internal/repository/stats.go":{"backupFileName":"4426319480f78977@v2","version":2,"backupTime":"2026-03-11T05:05:35.871Z"},"internal/repository/jobFind.go":{"backupFileName":"19ca218ff524297c@v2","version":2,"backupTime":"2026-03-11T05:05:35.871Z"},"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v2","version":2,"backupTime":"2026-03-11T05:05:35.871Z"}},"timestamp":"2026-03-11T05:05:35.870Z"},"isSnapshotUpdate":false} +{"parentUuid":"a884881a-ce84-43e7-8a35-0052b1913e5e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Our server has 512GB main memory. Does it make sense to make cache_size and soft_heap_limit configurable to make use of the main memory capacity?"},"uuid":"8f04deee-26cc-4f0e-b463-f24f7b407eec","timestamp":"2026-03-11T05:05:35.391Z","permissionMode":"plan"} +{"parentUuid":"8f04deee-26cc-4f0e-b463-f24f7b407eec","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01KiMis4ZpKWUCGdrdNaDs6S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U9hcpo8iMtigQJEf6JZc3H","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1710,"cache_read_input_tokens":58028,"output_tokens":72,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1710},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviAx4iwLa5UPXjWuYhM","type":"assistant","uuid":"0207d447-0f95-4741-9e3f-357c5927b88d","timestamp":"2026-03-11T05:05:39.226Z"} +{"parentUuid":"0207d447-0f95-4741-9e3f-357c5927b88d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U9hcpo8iMtigQJEf6JZc3H","toolUseID":"toolu_01U9hcpo8iMtigQJEf6JZc3H","timestamp":"2026-03-11T05:05:39.248Z","uuid":"d2a9c2df-c7ab-42cf-9177-b401caa1a604"} +{"parentUuid":"0207d447-0f95-4741-9e3f-357c5927b88d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U9hcpo8iMtigQJEf6JZc3H","type":"tool_result","content":" 1→# Fix SQLite Memory Not Released After Query Timeout\n 2→\n 3→## Context\n 4→\n 5→On the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n 6→\n 7→## Root Cause Analysis\n 8→\n 9→### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n 10→\n 11→**File:** `internal/repository/dbConnection.go:82`\n 12→\n 13→```go\n 14→connectionURLParams.Add(\"_cache_size\", \"1000000000\")\n 15→```\n 16→\n 17→SQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n 18→\n 19→For comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n 20→\n 21→### 2. No query context/timeout — queries run indefinitely\n 22→\n 23→**File:** `internal/repository/jobQuery.go:87`\n 24→\n 25→```go\n 26→rows, err := query.RunWith(r.stmtCache).Query() // No context!\n 27→```\n 28→\n 29→The `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n 30→\n 31→### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n 32→\n 33→SQLite has built-in memory management PRAGMAs that are not configured:\n 34→- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n 35→- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n 36→- **`shrink_memory`** — immediately releases all unused memory back to the OS\n 37→\n 38→None of these are set, so SQLite allocates freely and never releases.\n 39→\n 40→### 4. `temp_store = memory` amplifies the problem\n 41→\n 42→**File:** `internal/repository/dbConnection.go:41`\n 43→\n 44→Temporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n 45→\n 46→### 5. Connections live for 1 hour after use\n 47→\n 48→`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n 49→\n 50→## Proposed Changes\n 51→\n 52→### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n 53→\n 54→**File:** `internal/repository/dbConnection.go:82`\n 55→\n 56→Change from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n 57→\n 58→```go\n 59→connectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n 60→```\n 61→\n 62→With 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n 63→\n 64→### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n 65→\n 66→**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n 67→\n 68→```go\n 69→\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n 70→```\n 71→\n 72→This is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n 73→\n 74→### Fix 3: Pass context to database queries (medium impact, medium effort)\n 75→\n 76→Change `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n 77→\n 78→**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n 79→\n 80→**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n 81→\n 82→| File | Method | Line | Change |\n 83→|------|--------|------|--------|\n 84→| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n 85→| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n 86→| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n 87→| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n 88→| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n 89→| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n 90→| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n 91→| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n 92→| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n 93→| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n 94→| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n 95→| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n 96→| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n 97→| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n 98→\n 99→Methods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n 100→\n 101→### Fix 4: Reduce `ConnMaxIdleTime`\n 102→\n 103→**File:** `internal/repository/config.go`\n 104→\n 105→Reduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n 106→\n 107→## Scope — All Four Fixes\n 108→\n 109→All fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n 110→\n 111→## Files to Modify\n 112→\n 113→- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n 114→- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n 115→- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n 116→- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n 117→- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n 118→\n 119→## Verification\n 120→\n 121→1. `go build ./...` — compiles\n 122→2. `go test ./internal/repository/...` — tests pass\n 123→3. Monitor RSS memory before/after on production:\n 124→ - Trigger a heavy query, observe memory spike\n 125→ - Verify memory drops back down within seconds (not hours)\n 126→4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n 127→5. `PRAGMA soft_heap_limit;` — should show `1073741824`\n 128→"}]},"uuid":"0c26389c-193b-4713-8ceb-5410d277773c","timestamp":"2026-03-11T05:05:39.248Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","content":"# Fix SQLite Memory Not Released After Query Timeout\n\n## Context\n\nOn the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n\n## Root Cause Analysis\n\n### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n\n**File:** `internal/repository/dbConnection.go:82`\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n```\n\nSQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n\nFor comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n\n### 2. No query context/timeout — queries run indefinitely\n\n**File:** `internal/repository/jobQuery.go:87`\n\n```go\nrows, err := query.RunWith(r.stmtCache).Query() // No context!\n```\n\nThe `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n\n### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n\nSQLite has built-in memory management PRAGMAs that are not configured:\n- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n- **`shrink_memory`** — immediately releases all unused memory back to the OS\n\nNone of these are set, so SQLite allocates freely and never releases.\n\n### 4. `temp_store = memory` amplifies the problem\n\n**File:** `internal/repository/dbConnection.go:41`\n\nTemporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n\n### 5. Connections live for 1 hour after use\n\n`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n\n## Proposed Changes\n\n### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go:82`\n\nChange from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n```\n\nWith 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n\n### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n\n```go\n\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n```\n\nThis is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n\n### Fix 3: Pass context to database queries (medium impact, medium effort)\n\nChange `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n\n**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n\n**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n\n| File | Method | Line | Change |\n|------|--------|------|--------|\n| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n\nMethods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n\n### Fix 4: Reduce `ConnMaxIdleTime`\n\n**File:** `internal/repository/config.go`\n\nReduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n\n## Scope — All Four Fixes\n\nAll fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n\n## Files to Modify\n\n- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. Monitor RSS memory before/after on production:\n - Trigger a heavy query, observe memory spike\n - Verify memory drops back down within seconds (not hours)\n4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n5. `PRAGMA soft_heap_limit;` — should show `1073741824`\n","numLines":128,"startLine":1,"totalLines":128}},"sourceToolAssistantUUID":"0207d447-0f95-4741-9e3f-357c5927b88d"} +{"parentUuid":"0c26389c-193b-4713-8ceb-5410d277773c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Ty3nZThiDynrRqBk1xwS31","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EtUDCkYICxgCKkAJQFARdygwS4gAXRAoVRW1MiYtQlonxPo9f434lcbxlHDYcpV4/jWC2BvIBR92Op/kEcGu17gaQ03iZIxxL9VeEgw8GzOcbL8lUIObTt8aDMDeEHnL9Rda/UtYLSIwzg/YgYJXNEM+3YuQbn8OiHbH7ObKgIbyG8o9DGZXmv2x+l5e0jkezIePuVhCxENwKrwCeq+TPGjr4lZH38ZIgtIKDcljiMAyDGVfCkQX+Zeye91uPphEFJExu/n4VXGtvVqDmEmM9GjZpJrb0ZR553B/fvmjgmPkrqq8mIsNTMJL9QHTRnilQ/GoOECHY0AVdIQ1TxLKzrY2CgUih3vUiWgmWI700ozU4mn564KRBwTK4gJgDOQRlrJ/sImuIvaibnr/LLVmNnXwyc+Tt4TU1u5Eh5U8ON5EM83G+0OKdZPQxraohsh2U+JJobl6ZpRu3cXYB7cljYP1Y4xF5qQakiBcAqjB9Tn7msivJ5u1l/2zWVYxChO7u3z+Jq0AKwzumDtoTJUYv34P1gD4lHT5+DQiNYntx2ESljqgHjCVfFz1wusTHawVYoDOjsQ4KkuyU4gz5rOC5gHkgTRYWCP4YYyJ4likMiTPmzymV8iQFxgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2547,"cache_read_input_tokens":59738,"cache_creation":{"ephemeral_5m_input_tokens":2547,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviBCVPgMZuoywhNg8Vz","type":"assistant","uuid":"9a9b97a6-3d5d-416d-8e46-c998c035966c","timestamp":"2026-03-11T05:05:43.076Z"} +{"parentUuid":"9a9b97a6-3d5d-416d-8e46-c998c035966c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Ty3nZThiDynrRqBk1xwS31","type":"message","role":"assistant","content":[{"type":"text","text":"Good question. Let me look at how the config flows from the JSON config file into the repository to understand the best way to make these configurable."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2547,"cache_read_input_tokens":59738,"cache_creation":{"ephemeral_5m_input_tokens":2547,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviBCVPgMZuoywhNg8Vz","type":"assistant","uuid":"613fb8ca-356a-443d-87f3-455d87fdecf4","timestamp":"2026-03-11T05:05:43.972Z"} +{"parentUuid":"613fb8ca-356a-443d-87f3-455d87fdecf4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Ty3nZThiDynrRqBk1xwS31","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","name":"Agent","input":{"description":"Explore config flow for repository","subagent_type":"Explore","prompt":"I need to understand how RepositoryConfig is populated from the JSON config file and used in dbConnection.go. Specifically:\n\n1. How does the config.json \"repository\" section get parsed and passed to `repository.SetConfig()`? Find the call site.\n2. What does the JSON config struct look like for the repository section? (Check `internal/config/` for the struct definition)\n3. How is `repoConfig` used in `dbConnection.go:Connect()` — trace the full flow from config.json → struct → SetConfig → Connect.\n4. Are there any existing patterns for configuring memory/size values in the config (e.g., how are other byte-size configs handled)?\n\nSearch thoroughly in: internal/config/, cmd/cc-backend/, internal/repository/config.go, internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2547,"cache_read_input_tokens":59738,"output_tokens":400,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2547},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviBCVPgMZuoywhNg8Vz","type":"assistant","uuid":"7a1b6782-b8b5-43bb-8821-ed42dff56c9c","timestamp":"2026-03-11T05:05:49.711Z"} +{"parentUuid":"7a1b6782-b8b5-43bb-8821-ed42dff56c9c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"73527d5d-99cf-4bc4-9c56-b53b191ddc0b","timestamp":"2026-03-11T05:05:49.714Z"} +{"parentUuid":"73527d5d-99cf-4bc4-9c56-b53b191ddc0b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"I need to understand how RepositoryConfig is populated from the JSON config file and used in dbConnection.go. Specifically:\n\n1. How does the config.json \"repository\" section get parsed and passed to `repository.SetConfig()`? Find the call site.\n2. What does the JSON config struct look like for the repository section? (Check `internal/config/` for the struct definition)\n3. How is `repoConfig` used in `dbConnection.go:Connect()` — trace the full flow from config.json → struct → SetConfig → Connect.\n4. Are there any existing patterns for configuring memory/size values in the config (e.g., how are other byte-size configs handled)?\n\nSearch thoroughly in: internal/config/, cmd/cc-backend/, internal/repository/config.go, internal/repository/dbConnection.go"}]},"uuid":"6a1da6f8-1ee6-4bc3-9735-a299644b3251","timestamp":"2026-03-11T05:05:50.003Z"},"type":"agent_progress","prompt":"I need to understand how RepositoryConfig is populated from the JSON config file and used in dbConnection.go. Specifically:\n\n1. 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+{"parentUuid":"6bc0c549-62f1-496e-880c-9641dbdacc0b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EM5WUTHXkUxcpDJWiRBYJn","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→}\n 38→\n 39→// DefaultConfig returns the default repository configuration.\n 40→// These values are optimized for typical deployments.\n 41→func DefaultConfig() *RepositoryConfig {\n 42→\treturn &RepositoryConfig{\n 43→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 44→\t\tMaxOpenConnections: 4,\n 45→\t\tMaxIdleConnections: 4,\n 46→\t\tConnectionMaxLifetime: time.Hour,\n 47→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 48→\t\tMinRunningJobDuration: 600, // 10 minutes\n 49→\t}\n 50→}\n 51→\n 52→// repoConfig is the package-level configuration instance.\n 53→// It is initialized with defaults and can be overridden via SetConfig.\n 54→var repoConfig *RepositoryConfig = DefaultConfig()\n 55→\n 56→// SetConfig sets the repository configuration.\n 57→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 58→// If not called, default values from DefaultConfig() are used.\n 59→func SetConfig(cfg *RepositoryConfig) {\n 60→\tif cfg != nil {\n 61→\t\trepoConfig = cfg\n 62→\t}\n 63→}\n 64→\n 65→// GetConfig returns the current repository configuration.\n 66→func GetConfig() *RepositoryConfig {\n 67→\treturn repoConfig\n 68→}\n 69→"}]},"uuid":"1f616132-7852-46e7-a955-ffbbbbfd79c3","timestamp":"2026-03-11T05:05:53.389Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"b1f698d6-f389-42ee-82bd-a2b6963bdc52","timestamp":"2026-03-11T05:05:53.594Z"} +{"parentUuid":"b1f698d6-f389-42ee-82bd-a2b6963bdc52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T05:05:53.596Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013yz4PWVwN3JeuTC2oxez2i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DK1si2Sx8Vv5iDaQh6os6X","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1292,"cache_read_input_tokens":16659,"cache_creation":{"ephemeral_5m_input_tokens":1292,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYviCAMS22jTHvdLPwUe4","uuid":"5c5f28f7-4d80-48ea-b14f-ce936ad86a8e"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"62c10c04-de49-4a7e-a4f6-a9f9b17b9586","timestamp":"2026-03-11T05:05:53.596Z"} +{"parentUuid":"62c10c04-de49-4a7e-a4f6-a9f9b17b9586","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DK1si2Sx8Vv5iDaQh6os6X","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n 43→\t}\n 44→\n 45→\tfor _, pragma := range pragmas {\n 46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 47→\t\tif err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\t// Update query planner statistics so SQLite picks optimal indexes.\n 53→\t// Without this, SQLite guesses row distributions and often chooses wrong\n 54→\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n 55→\t// in temp B-trees instead of using covering indexes.\n 56→\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n 57→\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n 58→\t}\n 59→\n 60→\treturn nil\n 61→}\n 62→\n 63→func Connect(db string) {\n 64→\tvar err error\n 65→\tvar dbHandle *sqlx.DB\n 66→\n 67→\tdbConnOnce.Do(func() {\n 68→\t\topts := DatabaseOptions{\n 69→\t\t\tURL: db,\n 70→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 71→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 72→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 73→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 74→\t\t}\n 75→\n 76→\t\t// TODO: Have separate DB handles for Writes and Reads\n 77→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 78→\t\tconnectionURLParams := make(url.Values)\n 79→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 80→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 81→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 82→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 83→\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n 84→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 85→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 86→\n 87→\t\tif cclog.Loglevel() == \"debug\" {\n 88→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 89→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 90→\t\t} else {\n 91→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 92→\t\t}\n 93→\n 94→\t\tif err != nil {\n 95→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 96→\t\t}\n 97→\n 98→\t\terr = setupSqlite(dbHandle.DB)\n 99→\t\tif err != nil {\n 100→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 101→\t\t}\n 102→\n 103→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 104→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 105→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 106→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 107→\n 108→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 109→\t\terr = checkDBVersion(dbHandle.DB)\n 110→\t\tif err != nil {\n 111→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 112→\t\t}\n 113→\t})\n 114→}\n 115→\n 116→func GetConnection() *DBConnection {\n 117→\tif dbConnInstance == nil {\n 118→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 119→\t}\n 120→\n 121→\treturn dbConnInstance\n 122→}\n 123→\n 124→// ResetConnection closes the current database connection and resets the connection state.\n 125→// This function is intended for testing purposes only to allow test isolation.\n 126→func ResetConnection() error {\n 127→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 128→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 129→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 130→\t\t}\n 131→\t}\n 132→\n 133→\tdbConnInstance = nil\n 134→\tdbConnOnce = sync.Once{}\n 135→\tjobRepoInstance = nil\n 136→\tjobRepoOnce = sync.Once{}\n 137→\tnodeRepoInstance = nil\n 138→\tnodeRepoOnce = sync.Once{}\n 139→\tuserRepoInstance = nil\n 140→\tuserRepoOnce = sync.Once{}\n 141→\tuserCfgRepoInstance = nil\n 142→\tuserCfgRepoOnce = sync.Once{}\n 143→\n 144→\treturn nil\n 145→}\n 146→"}]},"uuid":"62863212-babf-4fd6-963a-9231a1c4a627","timestamp":"2026-03-11T05:05:53.614Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"026512c2-4357-40af-9ca3-ef7ae355e3f8","timestamp":"2026-03-11T05:05:53.800Z"} +{"parentUuid":"026512c2-4357-40af-9ca3-ef7ae355e3f8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T05:05:53.900Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013yz4PWVwN3JeuTC2oxez2i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0157XyPQEi7QycYqH8vM3cR3","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1292,"cache_read_input_tokens":16659,"cache_creation":{"ephemeral_5m_input_tokens":1292,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYviCAMS22jTHvdLPwUe4","uuid":"27d3eca4-8af5-4555-99bd-e75a72076e0c"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"5dc8641d-2713-463d-b965-b437464f0fe1","timestamp":"2026-03-11T05:05:53.901Z"} +{"parentUuid":"5dc8641d-2713-463d-b965-b437464f0fe1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0157XyPQEi7QycYqH8vM3cR3","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→\n 82→type NodeStateRetention struct {\n 83→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 84→\tAge int `json:\"age\"` // hours, default 24\n 85→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 86→\tTargetPath string `json:\"target-path\"`\n 87→\tTargetEndpoint string `json:\"target-endpoint\"`\n 88→\tTargetBucket string `json:\"target-bucket\"`\n 89→\tTargetAccessKey string `json:\"target-access-key\"`\n 90→\tTargetSecretKey string `json:\"target-secret-key\"`\n 91→\tTargetRegion string `json:\"target-region\"`\n 92→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 93→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 94→}\n 95→\n 96→type ResampleConfig struct {\n 97→\t// Minimum number of points to trigger resampling of data\n 98→\tMinimumPoints int `json:\"minimum-points\"`\n 99→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 100→\tResolutions []int `json:\"resolutions\"`\n 101→\t// Trigger next zoom level at less than this many visible datapoints\n 102→\tTrigger int `json:\"trigger\"`\n 103→}\n 104→\n 105→type NATSConfig struct {\n 106→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 107→\tSubjectNodeState string `json:\"subject-node-state\"`\n 108→}\n 109→\n 110→type IntRange struct {\n 111→\tFrom int `json:\"from\"`\n 112→\tTo int `json:\"to\"`\n 113→}\n 114→\n 115→type TimeRange struct {\n 116→\tFrom *time.Time `json:\"from\"`\n 117→\tTo *time.Time `json:\"to\"`\n 118→\tRange string `json:\"range,omitempty\"`\n 119→}\n 120→\n 121→type FilterRanges struct {\n 122→\tDuration *IntRange `json:\"duration\"`\n 123→\tNumNodes *IntRange `json:\"num-nodes\"`\n 124→\tStartTime *TimeRange `json:\"start-time\"`\n 125→}\n 126→\n 127→var Keys ProgramConfig = ProgramConfig{\n 128→\tAddr: \"localhost:8080\",\n 129→\tEmbedStaticFiles: true,\n 130→\tDB: \"./var/job.db\",\n 131→\tSessionMaxAge: \"168h\",\n 132→\tStopJobsExceedingWalltime: 0,\n 133→\tShortRunningJobsDuration: 5 * 60,\n 134→}\n 135→\n 136→func Init(mainConfig json.RawMessage) {\n 137→\tValidate(configSchema, mainConfig)\n 138→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 139→\tdec.DisallowUnknownFields()\n 140→\tif err := dec.Decode(&Keys); err != nil {\n 141→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 142→\t}\n 143→\n 144→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 145→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 146→\t}\n 147→}\n 148→"}]},"uuid":"3bbac35a-b8a8-485b-b189-5ccc0ea18333","timestamp":"2026-03-11T05:05:53.915Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"dab9fd9d-1e04-4e42-80a2-1f59074335a0","timestamp":"2026-03-11T05:05:53.917Z"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n 48→//\tif err != nil {\n 49→//\t return err\n 50→//\t}"}]},"uuid":"c62b8243-ff1d-4401-af6b-522795086fc1","timestamp":"2026-03-11T05:05:59.368Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"88386c95-7495-42f1-adc4-56d1141e8d3a","timestamp":"2026-03-11T05:05:59.558Z"} +{"parentUuid":"88386c95-7495-42f1-adc4-56d1141e8d3a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T05:05:59.574Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_015NvNSpB7YpiM1hEZMktYDm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BWDQcahgua3ixZzH4EPFLm","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":391,"cache_read_input_tokens":23765,"cache_creation":{"ephemeral_5m_input_tokens":391,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYviCaPYo6w7VPqUdpJH2","uuid":"92d7bc6c-0469-45e1-826c-d82dd2c4e903"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"eff0d214-a326-4149-b882-fb86043e07e8","timestamp":"2026-03-11T05:05:59.574Z"} +{"parentUuid":"eff0d214-a326-4149-b882-fb86043e07e8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BWDQcahgua3ixZzH4EPFLm","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 main provides the entry point for the ClusterCockpit backend server.\n 7→// It orchestrates initialization of all subsystems including configuration,\n 8→// database, authentication, and the HTTP server.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"os\"\n 16→\t\"os/signal\"\n 17→\t\"runtime/debug\"\n 18→\t\"strings\"\n 19→\t\"sync\"\n 20→\t\"syscall\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 40→\t\"github.com/google/gops/agent\"\n 41→\t\"github.com/joho/godotenv\"\n 42→\n 43→\t_ \"github.com/mattn/go-sqlite3\"\n 44→)\n 45→\n 46→const logoString = `\n 47→ _____ _ _ ____ _ _ _\n 48→/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n 49→| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n 50→| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n 51→\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n 52→ |_|\n 53→`\n 54→\n 55→// Environment variable names\n 56→const (\n 57→\tenvGOGC = \"GOGC\"\n 58→)\n 59→\n 60→// Default configurations\n 61→const (\n 62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n 63→)\n 64→\n 65→var (\n 66→\tdate string\n 67→\tcommit string\n 68→\tversion string\n 69→)\n 70→\n 71→func printVersion() {\n 72→\tfmt.Print(logoString)\n 73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n 74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n 75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n 76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n 77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n 78→}\n 79→\n 80→func initGops() error {\n 81→\tif !flagGops {\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif err := agent.Listen(agent.Options{}); err != nil {\n 86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n 87→\t}\n 88→\treturn nil\n 89→}\n 90→\n 91→func loadEnvironment() error {\n 92→\tif err := godotenv.Load(); err != nil {\n 93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n 94→\t}\n 95→\treturn nil\n 96→}\n 97→\n 98→func initConfiguration() error {\n 99→\tccconf.Init(flagConfigFile)\n 100→\n 101→\tcfg := ccconf.GetPackageConfig(\"main\")\n 102→\tif cfg == nil {\n 103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n 104→\t}\n 105→\n 106→\tconfig.Init(cfg)\n 107→\treturn nil\n 108→}\n 109→\n 110→func initDatabase() error {\n 111→\trepository.Connect(config.Keys.DB)\n 112→\treturn nil\n 113→}\n 114→\n 115→func handleDatabaseCommands() error {\n 116→\tif flagMigrateDB {\n 117→\t\terr := repository.MigrateDB(config.Keys.DB)\n 118→\t\tif err != nil {\n 119→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n 120→\t\t}\n 121→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n 122→\t\t\tconfig.Keys.DB, repository.Version)\n 123→\t}\n 124→\n 125→\tif flagRevertDB {\n 126→\t\terr := repository.RevertDB(config.Keys.DB)\n 127→\t\tif err != nil {\n 128→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n 129→\t\t}\n 130→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n 131→\t\t\tconfig.Keys.DB, repository.Version-1)\n 132→\t}\n 133→\n 134→\tif flagForceDB {\n 135→\t\terr := repository.ForceDB(config.Keys.DB)\n 136→\t\tif err != nil {\n 137→\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n 138→\t\t}\n 139→\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n 140→\t\t\tconfig.Keys.DB, repository.Version)\n 141→\t}\n 142→\n 143→\treturn nil\n 144→}\n 145→\n 146→func handleUserCommands() error {\n 147→\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n 148→\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n 149→\t}\n 150→\n 151→\tif !config.Keys.DisableAuthentication {\n 152→\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n 153→\t\t\tauth.Init(&cfg)\n 154→\t\t} else {\n 155→\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n 156→\t\t\tauth.Init(nil)\n 157→\t\t}\n 158→\n 159→\t\t// Check for default security keys\n 160→\t\tcheckDefaultSecurityKeys()\n 161→\n 162→\t\tif flagNewUser != \"\" {\n 163→\t\t\tif err := addUser(flagNewUser); err != nil {\n 164→\t\t\t\treturn err\n 165→\t\t\t}\n 166→\t\t}\n 167→\n 168→\t\tif flagDelUser != \"\" {\n 169→\t\t\tif err := delUser(flagDelUser); err != nil {\n 170→\t\t\t\treturn err\n 171→\t\t\t}\n 172→\t\t}\n 173→\n 174→\t\tauthHandle := auth.GetAuthInstance()\n 175→\n 176→\t\tif flagSyncLDAP {\n 177→\t\t\tif err := syncLDAP(authHandle); err != nil {\n 178→\t\t\t\treturn err\n 179→\t\t\t}\n 180→\t\t}\n 181→\n 182→\t\tif flagGenJWT != \"\" {\n 183→\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n 184→\t\t\t\treturn err\n 185→\t\t\t}\n 186→\t\t}\n 187→\t}\n 188→\n 189→\treturn nil\n 190→}\n 191→\n 192→// checkDefaultSecurityKeys warns if default JWT keys are detected\n 193→func checkDefaultSecurityKeys() {\n 194→\t// Default JWT public key from init.go\n 195→\tdefaultJWTPublic := \"REDACTED\"\n 196→\n 197→\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n 198→\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n 199→\t}\n 200→}\n 201→\n 202→func addUser(userSpec string) error {\n 203→\tparts := strings.SplitN(userSpec, \":\", 3)\n 204→\tif len(parts) != 3 || len(parts[0]) == 0 {\n 205→\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n 206→\t}\n 207→\n 208→\tur := repository.GetUserRepository()\n 209→\tif err := ur.AddUser(&schema.User{\n 210→\t\tUsername: parts[0],\n 211→\t\tProjects: make([]string, 0),\n 212→\t\tPassword: parts[2],\n 213→\t\tRoles: strings.Split(parts[1], \",\"),\n 214→\t}); err != nil {\n 215→\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n 216→\t}\n 217→\n 218→\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n 219→\treturn nil\n 220→}\n 221→\n 222→func delUser(username string) error {\n 223→\tur := repository.GetUserRepository()\n 224→\tif err := ur.DelUser(username); err != nil {\n 225→\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n 226→\t}\n 227→\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n 228→\treturn nil\n 229→}\n 230→\n 231→func syncLDAP(authHandle *auth.Authentication) error {\n 232→\tif authHandle.LdapAuth == nil {\n 233→\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n 234→\t}\n 235→\n 236→\tif err := authHandle.LdapAuth.Sync(); err != nil {\n 237→\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n 238→\t}\n 239→\n 240→\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n 241→\treturn nil\n 242→}\n 243→\n 244→func generateJWT(authHandle *auth.Authentication, username string) error {\n 245→\tur := repository.GetUserRepository()\n 246→\tuser, err := ur.GetUser(username)\n 247→\tif err != nil {\n 248→\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n 249→\t}\n 250→\n 251→\tif !user.HasRole(schema.RoleAPI) {\n 252→\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n 253→\t}\n 254→\n 255→\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n 256→\tif err != nil {\n 257→\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n 258→\t}\n 259→\n 260→\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n 261→\treturn nil\n 262→}\n 263→\n 264→func initSubsystems() error {\n 265→\t// Initialize nats client\n 266→\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n 267→\tif err := nats.Init(natsConfig); err != nil {\n 268→\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n 269→\t}\n 270→\tnats.Connect()\n 271→\n 272→\t// Initialize job archive\n 273→\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n 274→\tif archiveCfg == nil {\n 275→\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n 276→\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n 277→\t}\n 278→\tif err := archive.Init(archiveCfg); err != nil {\n 279→\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n 280→\t}\n 281→\n 282→\t// Handle database re-initialization\n 283→\tif flagReinitDB {\n 284→\t\tif err := importer.InitDB(); err != nil {\n 285→\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n 286→\t\t}\n 287→\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n 288→\t}\n 289→\n 290→\t// Handle job import\n 291→\tif flagImportJob != \"\" {\n 292→\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n 293→\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n 294→\t\t}\n 295→\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n 296→\t}\n 297→\n 298→\t// Initialize taggers\n 299→\tif config.Keys.EnableJobTaggers {\n 300→\t\ttagger.Init()\n 301→\t}\n 302→\n 303→\t// Apply tags if requested\n 304→\tif flagApplyTags {\n 305→\t\ttagger.Init()\n 306→\n 307→\t\tif err := tagger.RunTaggers(); err != nil {\n 308→\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\treturn nil\n 313→}\n 314→\n 315→func runServer(ctx context.Context) error {\n 316→\tvar wg sync.WaitGroup\n 317→\n 318→\t// Initialize metric store if configuration is provided\n 319→\thaveMetricstore := false\n 320→\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n 321→\tif mscfg != nil {\n 322→\t\tmetrics := metricstore.BuildMetricList()\n 323→\t\tmetricstore.Init(mscfg, metrics, &wg)\n 324→\n 325→\t\t// Inject repository as NodeProvider to break import cycle\n 326→\t\tms := metricstore.GetMemoryStore()\n 327→\t\tjobRepo := repository.GetJobRepository()\n 328→\t\tms.SetNodeProvider(jobRepo)\n 329→\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n 330→\t\thaveMetricstore = true\n 331→\t} else {\n 332→\t\tmetricstore.MetricStoreHandle = nil\n 333→\t\tcclog.Debug(\"missing internal metricstore configuration\")\n 334→\t}\n 335→\n 336→\t// Initialize external metric stores if configuration is provided\n 337→\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n 338→\tif mscfg != nil {\n 339→\t\terr := metricdispatch.Init(mscfg)\n 340→\n 341→\t\tif err != nil {\n 342→\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n 343→\t\t} else {\n 344→\t\t\thaveMetricstore = true\n 345→\t\t}\n 346→\t}\n 347→\n 348→\tif !haveMetricstore {\n 349→\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n 350→\t}\n 351→\n 352→\t// Start archiver and task manager\n 353→\tarchiver.Start(repository.GetJobRepository(), ctx)\n 354→\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n 355→\n 356→\t// Initialize web UI\n 357→\tcfg := ccconf.GetPackageConfig(\"ui\")\n 358→\tif err := web.Init(cfg); err != nil {\n 359→\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n 360→\t}\n 361→\n 362→\t// Initialize HTTP server\n 363→\tsrv, err := NewServer(version, commit, date)\n 364→\tif err != nil {\n 365→\t\treturn fmt.Errorf(\"creating server: %w\", err)\n 366→\t}\n 367→\n 368→\t// Channel to collect errors from server\n 369→\terrChan := make(chan error, 1)\n 370→\n 371→\t// Start HTTP server\n 372→\twg.Go(func() {\n 373→\t\tif err := srv.Start(ctx); err != nil {\n 374→\t\t\terrChan <- err\n 375→\t\t}\n 376→\t})\n 377→\n 378→\t// Handle shutdown signals\n 379→\twg.Add(1)\n 380→\tsigs := make(chan os.Signal, 1)\n 381→\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n 382→\tgo func() {\n 383→\t\tdefer wg.Done()\n 384→\t\tselect {\n 385→\t\tcase <-sigs:\n 386→\t\t\tcclog.Info(\"Shutdown signal received\")\n 387→\t\tcase <-ctx.Done():\n 388→\t\t}\n 389→\n 390→\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n 391→\t\tsrv.Shutdown(ctx)\n 392→\t\tutil.FsWatcherShutdown()\n 393→\t\ttaskmanager.Shutdown()\n 394→\t}()\n 395→\n 396→\t// Set GC percent if not configured\n 397→\tif os.Getenv(envGOGC) == \"\" {\n 398→\t\t// trigger GC when heap grows 15% above the previous live set\n 399→\t\tdebug.SetGCPercent(15)\n 400→\t}\n 401→\truntime.SystemdNotify(true, \"running\")\n 402→\n 403→\twaitDone := make(chan struct{})\n 404→\tgo func() {\n 405→\t\twg.Wait()\n 406→\t\tclose(waitDone)\n 407→\t}()\n 408→\n 409→\tgo func() {\n 410→\t\t<-waitDone\n 411→\t\tclose(errChan)\n 412→\t}()\n 413→\n 414→\t// Wait for either:\n 415→\t// 1. An error from server startup\n 416→\t// 2. Completion of all goroutines (normal shutdown or crash)\n 417→\tselect {\n 418→\tcase err := <-errChan:\n 419→\t\t// errChan will be closed when waitDone is closed, which happens\n 420→\t\t// when all goroutines complete (either from normal shutdown or error)\n 421→\t\tif err != nil {\n 422→\t\t\treturn err\n 423→\t\t}\n 424→\tcase <-time.After(100 * time.Millisecond):\n 425→\t\t// Give the server 100ms to start and report any immediate startup errors\n 426→\t\t// After that, just wait for normal shutdown completion\n 427→\t\tselect {\n 428→\t\tcase err := <-errChan:\n 429→\t\t\tif err != nil {\n 430→\t\t\t\treturn err\n 431→\t\t\t}\n 432→\t\tcase <-waitDone:\n 433→\t\t\t// Normal shutdown completed\n 434→\t\t}\n 435→\t}\n 436→\n 437→\tcclog.Print(\"Graceful shutdown completed!\")\n 438→\treturn nil\n 439→}\n 440→\n 441→func run() error {\n 442→\tcliInit()\n 443→\n 444→\tif flagVersion {\n 445→\t\tprintVersion()\n 446→\t\treturn nil\n 447→\t}\n 448→\n 449→\t// Initialize logger\n 450→\tcclog.Init(flagLogLevel, flagLogDateTime)\n 451→\n 452→\t// Handle init flag\n 453→\tif flagInit {\n 454→\t\tinitEnv()\n 455→\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n 456→\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n 457→\t\t\t\"Add your job-archive at ./var/job-archive.\")\n 458→\t}\n 459→\n 460→\t// Initialize gops agent\n 461→\tif err := initGops(); err != nil {\n 462→\t\treturn err\n 463→\t}\n 464→\n 465→\t// Initialize subsystems in dependency order:\n 466→\t// 1. Load environment variables from .env file (contains sensitive configuration)\n 467→\t// 2. Load configuration from config.json (may reference environment variables)\n 468→\t// 3. Handle database migration commands if requested\n 469→\t// 4. Initialize database connection (requires config for connection string)\n 470→\t// 5. Handle user commands if requested (requires database and authentication config)\n 471→\t// 6. Initialize subsystems like archive and metrics (require config and database)\n 472→\n 473→\t// Load environment and configuration\n 474→\tif err := loadEnvironment(); err != nil {\n 475→\t\treturn err\n 476→\t}\n 477→\n 478→\tif err := initConfiguration(); err != nil {\n 479→\t\treturn err\n 480→\t}\n 481→\n 482→\t// Handle database migration (migrate, revert, force)\n 483→\tif err := handleDatabaseCommands(); err != nil {\n 484→\t\treturn err\n 485→\t}\n 486→\n 487→\t// Initialize database\n 488→\tif err := initDatabase(); err != nil {\n 489→\t\treturn err\n 490→\t}\n 491→\n 492→\t// Handle user commands (add, delete, sync, JWT)\n 493→\tif err := handleUserCommands(); err != nil {\n 494→\t\treturn err\n 495→\t}\n 496→\n 497→\t// Initialize subsystems (archive, metrics, taggers)\n 498→\tif err := initSubsystems(); err != nil {\n 499→\t\treturn err\n 500→\t}\n 501→\n 502→\t// Exit if start server is not requested\n 503→\tif !flagServer {\n 504→\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n 505→\t}\n 506→\n 507→\t// Run server with context\n 508→\tctx, cancel := context.WithCancel(context.Background())\n 509→\tdefer cancel()\n 510→\n 511→\treturn runServer(ctx)\n 512→}\n 513→\n 514→func main() {\n 515→\tif err := run(); err != nil {\n 516→\t\tcclog.Error(err.Error())\n 517→\t\tos.Exit(1)\n 518→\t}\n 519→}\n 520→"}]},"uuid":"69fdc1ea-84c1-4d9a-b608-5dfa6ed5dc50","timestamp":"2026-03-11T05:05:59.590Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"4fc4daf9-3556-4c8f-9625-a3bf8516638e","timestamp":"2026-03-11T05:05:59.669Z"} +{"parentUuid":"4fc4daf9-3556-4c8f-9625-a3bf8516638e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T05:06:01.790Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MhqV6GoU95jiSridAGLmYy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FN1rAybMW8mpQ7eEtddqZH","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":7532,"cache_read_input_tokens":24156,"cache_creation":{"ephemeral_5m_input_tokens":7532,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYviChmJnZrf2sAsANkBH","uuid":"034440f0-ff26-4c35-99cd-84853723de69"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"1f87353a-1ed6-4368-bf16-cea9e8013590","timestamp":"2026-03-11T05:06:01.791Z"} +{"parentUuid":"1f87353a-1ed6-4368-bf16-cea9e8013590","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FN1rAybMW8mpQ7eEtddqZH","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→ },\n 126→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 127→ },\n 128→ \"nodestate-retention\": {\n 129→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 130→ \"type\": \"object\",\n 131→ \"properties\": {\n 132→ \"policy\": {\n 133→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 134→ \"type\": \"string\",\n 135→ \"enum\": [\"delete\", \"move\"]\n 136→ },\n 137→ \"age\": {\n 138→ \"description\": \"Retention age in hours (default: 24).\",\n 139→ \"type\": \"integer\"\n 140→ },\n 141→ \"target-kind\": {\n 142→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 143→ \"type\": \"string\",\n 144→ \"enum\": [\"file\", \"s3\"]\n 145→ },\n 146→ \"target-path\": {\n 147→ \"description\": \"Filesystem path for parquet file target.\",\n 148→ \"type\": \"string\"\n 149→ },\n 150→ \"target-endpoint\": {\n 151→ \"description\": \"S3 endpoint URL.\",\n 152→ \"type\": \"string\"\n 153→ },\n 154→ \"target-bucket\": {\n 155→ \"description\": \"S3 bucket name.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-access-key\": {\n 159→ \"description\": \"S3 access key.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-secret-key\": {\n 163→ \"description\": \"S3 secret key.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-region\": {\n 167→ \"description\": \"S3 region.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-use-path-style\": {\n 171→ \"description\": \"Use path-style S3 addressing.\",\n 172→ \"type\": \"boolean\"\n 173→ },\n 174→ \"max-file-size-mb\": {\n 175→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 176→ \"type\": \"integer\"\n 177→ }\n 178→ },\n 179→ \"required\": [\"policy\"]\n 180→ }\n 181→ }\n 182→}`\n 183→"}]},"uuid":"6a56719a-2ef6-4fa4-ad93-76288a3c6aea","timestamp":"2026-03-11T05:06:01.801Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"a36d3a0c-6465-4131-84fe-b0b501626aa3","timestamp":"2026-03-11T05:06:01.975Z"} 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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 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+{"parentUuid":"f9d156ab-a94c-4f01-a36e-7bc124eba3b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiQb28PSfM6nXpsjaihwSd","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→import (\n 9→\t\"encoding/json\"\n 10→\n 11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 12→\t\"github.com/santhosh-tekuri/jsonschema/v5\"\n 13→)\n 14→\n 15→func Validate(schema string, instance json.RawMessage) {\n 16→\tsch, err := jsonschema.CompileString(\"schema.json\", schema)\n 17→\tif err != nil {\n 18→\t\tcclog.Fatalf(\"%#v\", err)\n 19→\t}\n 20→\n 21→\tvar v any\n 22→\tif err := json.Unmarshal([]byte(instance), &v); err != nil {\n 23→\t\tcclog.Fatal(err)\n 24→\t}\n 25→\n 26→\tif err = sch.Validate(v); err != nil {\n 27→\t\tcclog.Fatalf(\"%#v\", err)\n 28→\t}\n 29→}\n 30→"}]},"uuid":"f806be33-2ef4-4d09-9237-33f722c0a77d","timestamp":"2026-03-11T05:06:08.882Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"b52c58e3-eea9-4085-961d-c8a1407009d3","timestamp":"2026-03-11T05:06:08.895Z"} +{"parentUuid":"b52c58e3-eea9-4085-961d-c8a1407009d3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T05:06:12.340Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CB9xA2TT2mu7yk1XXj2J4k","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PLnAaUzpLgYq1mwbEtj4cp","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/repository_test.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":963,"cache_read_input_tokens":36856,"cache_creation":{"ephemeral_5m_input_tokens":963,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYviDPJKpk7jGWamBVxkh","uuid":"0951736f-9277-4272-9507-40bd5550d09c"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"34400d32-6443-47f3-adad-8756d3c2cc1c","timestamp":"2026-03-11T05:06:12.341Z"} +{"parentUuid":"34400d32-6443-47f3-adad-8756d3c2cc1c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PLnAaUzpLgYq1mwbEtj4cp","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 repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"os\"\n 10→\t\"path/filepath\"\n 11→\t\"testing\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 16→\t_ \"github.com/mattn/go-sqlite3\"\n 17→)\n 18→\n 19→func TestPragma(t *testing.T) {\n 20→\tt.Run(\"sets up a new DB\", func(t *testing.T) {\n 21→\t\tdb := setup(t)\n 22→\n 23→\t\tfor _, pragma := range []string{\"synchronous\", \"journal_mode\", \"busy_timeout\", \"auto_vacuum\", \"foreign_keys\"} {\n 24→\t\t\tt.Log(\"PRAGMA\", pragma, getPragma(db, pragma))\n 25→\t\t}\n 26→\t})\n 27→}\n 28→\n 29→func getPragma(db *JobRepository, name string) string {\n 30→\tvar s string\n 31→\tif err := db.DB.QueryRow(`PRAGMA ` + name).Scan(&s); err != nil {\n 32→\t\tpanic(err)\n 33→\t}\n 34→\treturn s\n 35→}\n 36→\n 37→func BenchmarkSelect1(b *testing.B) {\n 38→\tdb := setup(b)\n 39→\n 40→\tb.ResetTimer()\n 41→\n 42→\tb.RunParallel(func(pb *testing.PB) {\n 43→\t\tfor pb.Next() {\n 44→\t\t\t_, err := db.DB.Exec(`select 1`)\n 45→\t\t\tnoErr(b, err)\n 46→\t\t}\n 47→\t})\n 48→}\n 49→\n 50→func BenchmarkDB_FindJobById(b *testing.B) {\n 51→\tvar jobID int64 = 1677322\n 52→\n 53→\tb.Run(\"FindJobById\", func(b *testing.B) {\n 54→\t\tdb := setup(b)\n 55→\n 56→\t\tb.ResetTimer()\n 57→\n 58→\t\tb.RunParallel(func(pb *testing.PB) {\n 59→\t\t\tfor pb.Next() {\n 60→\t\t\t\t_, err := db.FindByID(getContext(b), jobID)\n 61→\t\t\t\tnoErr(b, err)\n 62→\t\t\t}\n 63→\t\t})\n 64→\t})\n 65→}\n 66→\n 67→func BenchmarkDB_FindJob(b *testing.B) {\n 68→\tvar jobID int64 = 107266\n 69→\tvar startTime int64 = 1657557241\n 70→\tcluster := \"fritz\"\n 71→\n 72→\tb.Run(\"FindJob\", func(b *testing.B) {\n 73→\t\tdb := setup(b)\n 74→\n 75→\t\tb.ResetTimer()\n 76→\n 77→\t\tb.RunParallel(func(pb *testing.PB) {\n 78→\t\t\tfor pb.Next() {\n 79→\t\t\t\t_, err := db.Find(&jobID, &cluster, &startTime)\n 80→\t\t\t\tnoErr(b, err)\n 81→\t\t\t}\n 82→\t\t})\n 83→\t})\n 84→}\n 85→\n 86→func BenchmarkDB_CountJobs(b *testing.B) {\n 87→\tfilter := &model.JobFilter{}\n 88→\tfilter.State = append(filter.State, \"running\")\n 89→\tcluster := \"fritz\"\n 90→\tfilter.Cluster = &model.StringInput{Eq: &cluster}\n 91→\tuser := \"mppi133h\"\n 92→\tfilter.User = &model.StringInput{Eq: &user}\n 93→\n 94→\tb.Run(\"CountJobs\", func(b *testing.B) {\n 95→\t\tdb := setup(b)\n 96→\n 97→\t\tb.ResetTimer()\n 98→\n 99→\t\tb.RunParallel(func(pb *testing.PB) {\n 100→\t\t\tfor pb.Next() 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*RepositoryConfig = DefaultConfig()\ninternal/repository/config.go:56:// SetConfig sets the repository configuration.\ninternal/repository/config.go:58:// If not called, default values from DefaultConfig() are used.\ninternal/repository/config.go:59:func SetConfig(cfg *RepositoryConfig) {\ninternal/repository/config.go:66:func GetConfig() *RepositoryConfig {\ninternal/repository/job.go:22://\trepository.SetConfig(&repository.RepositoryConfig{"}]},"uuid":"6f52bc2e-42c4-4cba-a596-e7eb4a908aed","timestamp":"2026-03-11T05:06:13.394Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"b3cce2fa-e863-4113-9be6-0eba8e21b653","timestamp":"2026-03-11T05:06:13.438Z"} 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ccconf.GetPackageConfig(\"nats\")\n/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go:\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go:\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go:\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go:\tcfg := ccconf.GetPackageConfig(\"ui\")","is_error":false}]},"uuid":"25bd92a6-ea35-4405-bddb-ba824074058e","timestamp":"2026-03-11T05:06:15.523Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"c26de651-2a14-4c25-a656-7e36709b6efd","timestamp":"2026-03-11T05:06:15.535Z"} 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footprints.\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go:\tmaxFileSizeMB := cfg.MaxFileSizeMB\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/taskManager.go:\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go:\tmaxFileSizeMB := cfg.MaxFileSizeMB\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go:\tmaxFileSizeMB := cfg.MaxFileSizeMB\n/Users/jan/prg/CC/cc-backend/internal/config/config.go:\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n/Users/jan/prg/CC/cc-backend/internal/config/schema.go: \"max-file-size-mb\": {\n/Users/jan/prg/CC/cc-backend/internal/metricdispatch/dataLoader.go:// - LRU cache for performance optimization (128 MB default cache size)\n/Users/jan/prg/CC/cc-backend/internal/metricdispatch/dataLoader.go:\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {\n/Users/jan/prg/CC/cc-backend/pkg/archive/sqliteBackend.go:\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n/Users/jan/prg/CC/cc-backend/pkg/archive/ConfigSchema.go: \"max-file-size-mb\": {\n/Users/jan/prg/CC/cc-backend/pkg/archive/json.go:\tdata := cache.Get(k, func() (value any, ttl time.Duration, size int) {","is_error":false}]},"uuid":"507bf017-0439-4299-82d0-9df2b7a3e8f5","timestamp":"2026-03-11T05:06:17.208Z"},"type":"agent_progress","prompt":"","agentId":"afa5b3492136fa9f7"},"toolUseID":"agent_msg_01Ty3nZThiDynrRqBk1xwS31","parentToolUseID":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","uuid":"871683da-54ce-40de-aa21-303043f0804b","timestamp":"2026-03-11T05:06:17.209Z"} 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+{"parentUuid":"7a1b6782-b8b5-43bb-8821-ed42dff56c9c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fg8BspZD8Gf4W2rKpqcLxE","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a good understanding. Let me create a comprehensive summary document:\n\nBased on my thorough analysis of the codebase, here's what I found:\n\n## Summary: RepositoryConfig Flow and Integration\n\n### 1. **Current State: SetConfig is NOT Called Anywhere**\n\nThe function `repository.SetConfig()` exists in `/Users/jan/prg/CC/cc-backend/internal/repository/config.go` but is **never called** from the main initialization flow. Currently, the system uses only default values from `DefaultConfig()`.\n\n### 2. **RepositoryConfig Structure** \n(Location: `/Users/jan/prg/CC/cc-backend/internal/repository/config.go`, lines 12-37)\n\n```go\ntype RepositoryConfig struct {\n CacheSize int // Bytes, default: 1MB (1024 * 1024)\n MaxOpenConnections int // Default: 4\n MaxIdleConnections int // Default: 4\n ConnectionMaxLifetime time.Duration // Default: 1 hour\n ConnectionMaxIdleTime time.Duration // Default: 10 minutes\n MinRunningJobDuration int // Seconds, default: 600 (10 minutes)\n}\n```\n\n**Default values** (lines 43-49):\n- CacheSize: 1MB\n- MaxOpenConnections: 4\n- MaxIdleConnections: 4\n- ConnectionMaxLifetime: time.Hour\n- ConnectionMaxIdleTime: 10 * time.Minute\n- MinRunningJobDuration: 600 seconds\n\n### 3. **How SetConfig and GetConfig Work**\n\n**SetConfig** (lines 59-63): Sets package-level `repoConfig` variable (initialized at line 54)\n**GetConfig** (lines 66-68): Returns the current configuration\n**DefaultConfig** (lines 41-50): Factory function for defaults\n\n### 4. **How Connect() Uses repoConfig**\n(Location: `/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go`, lines 63-114)\n\nThe `Connect()` function reads from package-level `repoConfig`:\n- Line 70: `MaxOpenConnections: repoConfig.MaxOpenConnections`\n- Line 71: `MaxIdleConnections: repoConfig.MaxIdleConnections`\n- Line 72: `ConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime`\n- Line 73: `ConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime`\n\nThese are passed to `DatabaseOptions` struct (lines 31-37), then applied to sqlx.DB (lines 103-106):\n```go\ndbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\ndbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\ndbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\ndbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n```\n\n### 5. **Missing Integration Point: No JSON Config Section**\n\nThe main config structure (`ProgramConfig` in `/Users/jan/prg/CC/cc-backend/internal/config/config.go`) does **NOT** have a repository field. The JSON schema (`internal/config/schema.go`) also has no repository section.\n\n### 6. **How Configuration Is Currently Loaded**\n(Location: `/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go`)\n\n- Line 99: `ccconf.Init(flagConfigFile)` - Loads config via cc-lib\n- Line 101: `cfg := ccconf.GetPackageConfig(\"main\")` - Gets \"main\" section\n- Line 106: `config.Init(cfg)` - Parses into `ProgramConfig` struct\n- Line 111: `repository.Connect(config.Keys.DB)` - **Calls Connect() WITHOUT calling SetConfig()**\n\n### 7. **Byte-Size Config Pattern in Codebase**\n\nThe codebase uses **integer fields in MB** for byte-size configs:\n- `MaxFileSizeMB` in `/Users/jan/prg/CC/cc-backend/internal/config/config.go` (line 93)\n- Same in `/Users/jan/prg/CC/cc-backend/internal/taskmanager/taskManager.go` (line 18)\n- JSON schema documents as `\"type\": \"integer\"` with description mentioning \"MB\"\n\nExample from config schema (schema.go, lines 174-176):\n```json\n\"max-file-size-mb\": {\n \"description\": \"Maximum parquet file size in MB (default: 128).\",\n \"type\": \"integer\"\n}\n```\n\n### 8. **Duration Parsing Pattern**\n\nDuration values use **ISO 8601 string format** parseable by `time.ParseDuration()`:\n- `session-max-age` in schema (line 56): `\"string parsable by time.ParseDuration()\"`\n- Example from config: `\"max-age\": \"2000h\"` in auth section\n\n### 9. **Current Flow: config.json → main → initDatabase()**\n\n```\nconfig.json (main section)\n ↓\nccconf.Init() [cc-lib]\n ↓\nccconf.GetPackageConfig(\"main\")\n ↓\nconfig.Init() → ProgramConfig struct\n ↓\ninitDatabase() calls repository.Connect(config.Keys.DB)\n ↓ [NO SetConfig call]\n ↓\nConnect() uses default repoConfig\n```\n\n### Key Files\n- **Config definition**: `/Users/jan/prg/CC/cc-backend/internal/repository/config.go` (69 lines)\n- **DB connection usage**: `/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go` (146 lines)\n- **Main initialization**: `/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go` (520 lines)\n- **Config struct**: `/Users/jan/prg/CC/cc-backend/internal/config/config.go` (148 lines)\n- **JSON schema**: `/Users/jan/prg/CC/cc-backend/internal/config/schema.go` (182 lines)\n\n### Summary\nCurrently, `SetConfig()` is intended to be called **before `Connect()`** but is never used. The integration would need to:\n1. Add repository config fields to `ProgramConfig` struct\n2. Add schema definition in JSON schema\n3. Add a call to `repository.SetConfig()` in main's `initConfiguration()` or `initDatabase()` function before `Connect()` is called"},{"type":"text","text":"agentId: afa5b3492136fa9f7 (for resuming to continue this agent's work if needed)\ntotal_tokens: 43146\ntool_uses: 25\nduration_ms: 41126"}]}]},"uuid":"8735cbe6-818d-4561-b3a3-75adc246800a","timestamp":"2026-03-11T05:06:31.129Z","toolUseResult":{"status":"completed","prompt":"I need to understand how RepositoryConfig is populated from the JSON config file and used in dbConnection.go. Specifically:\n\n1. How does the config.json \"repository\" section get parsed and passed to `repository.SetConfig()`? Find the call site.\n2. What does the JSON config struct look like for the repository section? (Check `internal/config/` for the struct definition)\n3. How is `repoConfig` used in `dbConnection.go:Connect()` — trace the full flow from config.json → struct → SetConfig → Connect.\n4. Are there any existing patterns for configuring memory/size values in the config (e.g., how are other byte-size configs handled)?\n\nSearch thoroughly in: internal/config/, cmd/cc-backend/, internal/repository/config.go, internal/repository/dbConnection.go","agentId":"afa5b3492136fa9f7","content":[{"type":"text","text":"Perfect! Now I have a good understanding. Let me create a comprehensive summary document:\n\nBased on my thorough analysis of the codebase, here's what I found:\n\n## Summary: RepositoryConfig Flow and Integration\n\n### 1. **Current State: SetConfig is NOT Called Anywhere**\n\nThe function `repository.SetConfig()` exists in `/Users/jan/prg/CC/cc-backend/internal/repository/config.go` but is **never called** from the main initialization flow. Currently, the system uses only default values from `DefaultConfig()`.\n\n### 2. **RepositoryConfig Structure** \n(Location: `/Users/jan/prg/CC/cc-backend/internal/repository/config.go`, lines 12-37)\n\n```go\ntype RepositoryConfig struct {\n CacheSize int // Bytes, default: 1MB (1024 * 1024)\n MaxOpenConnections int // Default: 4\n MaxIdleConnections int // Default: 4\n ConnectionMaxLifetime time.Duration // Default: 1 hour\n ConnectionMaxIdleTime time.Duration // Default: 10 minutes\n MinRunningJobDuration int // Seconds, default: 600 (10 minutes)\n}\n```\n\n**Default values** (lines 43-49):\n- CacheSize: 1MB\n- MaxOpenConnections: 4\n- MaxIdleConnections: 4\n- ConnectionMaxLifetime: time.Hour\n- ConnectionMaxIdleTime: 10 * time.Minute\n- MinRunningJobDuration: 600 seconds\n\n### 3. **How SetConfig and GetConfig Work**\n\n**SetConfig** (lines 59-63): Sets package-level `repoConfig` variable (initialized at line 54)\n**GetConfig** (lines 66-68): Returns the current configuration\n**DefaultConfig** (lines 41-50): Factory function for defaults\n\n### 4. **How Connect() Uses repoConfig**\n(Location: `/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go`, lines 63-114)\n\nThe `Connect()` function reads from package-level `repoConfig`:\n- Line 70: `MaxOpenConnections: repoConfig.MaxOpenConnections`\n- Line 71: `MaxIdleConnections: repoConfig.MaxIdleConnections`\n- Line 72: `ConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime`\n- Line 73: `ConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime`\n\nThese are passed to `DatabaseOptions` struct (lines 31-37), then applied to sqlx.DB (lines 103-106):\n```go\ndbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\ndbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\ndbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\ndbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n```\n\n### 5. **Missing Integration Point: No JSON Config Section**\n\nThe main config structure (`ProgramConfig` in `/Users/jan/prg/CC/cc-backend/internal/config/config.go`) does **NOT** have a repository field. The JSON schema (`internal/config/schema.go`) also has no repository section.\n\n### 6. **How Configuration Is Currently Loaded**\n(Location: `/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go`)\n\n- Line 99: `ccconf.Init(flagConfigFile)` - Loads config via cc-lib\n- Line 101: `cfg := ccconf.GetPackageConfig(\"main\")` - Gets \"main\" section\n- Line 106: `config.Init(cfg)` - Parses into `ProgramConfig` struct\n- Line 111: `repository.Connect(config.Keys.DB)` - **Calls Connect() WITHOUT calling SetConfig()**\n\n### 7. **Byte-Size Config Pattern in Codebase**\n\nThe codebase uses **integer fields in MB** for byte-size configs:\n- `MaxFileSizeMB` in `/Users/jan/prg/CC/cc-backend/internal/config/config.go` (line 93)\n- Same in `/Users/jan/prg/CC/cc-backend/internal/taskmanager/taskManager.go` (line 18)\n- JSON schema documents as `\"type\": \"integer\"` with description mentioning \"MB\"\n\nExample from config schema (schema.go, lines 174-176):\n```json\n\"max-file-size-mb\": {\n \"description\": \"Maximum parquet file size in MB (default: 128).\",\n \"type\": \"integer\"\n}\n```\n\n### 8. **Duration Parsing Pattern**\n\nDuration values use **ISO 8601 string format** parseable by `time.ParseDuration()`:\n- `session-max-age` in schema (line 56): `\"string parsable by time.ParseDuration()\"`\n- Example from config: `\"max-age\": \"2000h\"` in auth section\n\n### 9. **Current Flow: config.json → main → initDatabase()**\n\n```\nconfig.json (main section)\n ↓\nccconf.Init() [cc-lib]\n ↓\nccconf.GetPackageConfig(\"main\")\n ↓\nconfig.Init() → ProgramConfig struct\n ↓\ninitDatabase() calls repository.Connect(config.Keys.DB)\n ↓ [NO SetConfig call]\n ↓\nConnect() uses default repoConfig\n```\n\n### Key Files\n- **Config definition**: `/Users/jan/prg/CC/cc-backend/internal/repository/config.go` (69 lines)\n- **DB connection usage**: `/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go` (146 lines)\n- **Main initialization**: `/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go` (520 lines)\n- **Config struct**: `/Users/jan/prg/CC/cc-backend/internal/config/config.go` (148 lines)\n- **JSON schema**: `/Users/jan/prg/CC/cc-backend/internal/config/schema.go` (182 lines)\n\n### Summary\nCurrently, `SetConfig()` is intended to be called **before `Connect()`** but is never used. The integration would need to:\n1. Add repository config fields to `ProgramConfig` struct\n2. Add schema definition in JSON schema\n3. Add a call to `repository.SetConfig()` in main's `initConfiguration()` or `initDatabase()` function before `Connect()` is called"}],"totalDurationMs":41126,"totalTokens":43146,"totalToolUseCount":25,"usage":{"input_tokens":5,"cache_creation_input_tokens":873,"cache_read_input_tokens":40665,"output_tokens":1603,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":873},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"7a1b6782-b8b5-43bb-8821-ed42dff56c9c"} +{"parentUuid":"8735cbe6-818d-4561-b3a3-75adc246800a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H51jYoTZEDXFxwyoPgnd7g","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2070,"cache_read_input_tokens":62285,"cache_creation":{"ephemeral_5m_input_tokens":2070,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviF3aDzkBNoWie4w55B","type":"assistant","uuid":"a927f8a4-7624-4e8b-bd8a-fbb3e928841f","timestamp":"2026-03-11T05:06:44.590Z"} +{"parentUuid":"a927f8a4-7624-4e8b-bd8a-fbb3e928841f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H51jYoTZEDXFxwyoPgnd7g","type":"message","role":"assistant","content":[{"type":"text","text":"Good question. Let me read the config structures to understand the full picture."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2070,"cache_read_input_tokens":62285,"cache_creation":{"ephemeral_5m_input_tokens":2070,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviF3aDzkBNoWie4w55B","type":"assistant","uuid":"8afe2211-c80e-43bd-974d-79ba25214a85","timestamp":"2026-03-11T05:06:45.480Z"} +{"parentUuid":"8afe2211-c80e-43bd-974d-79ba25214a85","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H51jYoTZEDXFxwyoPgnd7g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ni8ex16v7CrYvXJVL625qg","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2070,"cache_read_input_tokens":62285,"cache_creation":{"ephemeral_5m_input_tokens":2070,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviF3aDzkBNoWie4w55B","type":"assistant","uuid":"a97aac77-5732-42aa-9773-ad0d59047c72","timestamp":"2026-03-11T05:06:45.939Z"} +{"parentUuid":"a97aac77-5732-42aa-9773-ad0d59047c72","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H51jYoTZEDXFxwyoPgnd7g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xc34zdv2JP91KmnzYBQzif","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2070,"cache_read_input_tokens":62285,"output_tokens":566,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2070},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviF3aDzkBNoWie4w55B","type":"assistant","uuid":"b2dc1e62-6a8d-43ec-b268-7a3bcbcadcf0","timestamp":"2026-03-11T05:06:45.946Z"} +{"parentUuid":"b2dc1e62-6a8d-43ec-b268-7a3bcbcadcf0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Ni8ex16v7CrYvXJVL625qg","toolUseID":"toolu_01Ni8ex16v7CrYvXJVL625qg","timestamp":"2026-03-11T05:06:45.965Z","uuid":"06d67101-9046-408c-9540-38d42f583df9"} +{"parentUuid":"a97aac77-5732-42aa-9773-ad0d59047c72","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ni8ex16v7CrYvXJVL625qg","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→\n 82→type NodeStateRetention struct {\n 83→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 84→\tAge int `json:\"age\"` // hours, default 24\n 85→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 86→\tTargetPath string `json:\"target-path\"`\n 87→\tTargetEndpoint string `json:\"target-endpoint\"`\n 88→\tTargetBucket string `json:\"target-bucket\"`\n 89→\tTargetAccessKey string `json:\"target-access-key\"`\n 90→\tTargetSecretKey string `json:\"target-secret-key\"`\n 91→\tTargetRegion string `json:\"target-region\"`\n 92→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 93→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 94→}\n 95→\n 96→type ResampleConfig struct {\n 97→\t// Minimum number of points to trigger resampling of data\n 98→\tMinimumPoints int `json:\"minimum-points\"`\n 99→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 100→\tResolutions []int `json:\"resolutions\"`\n 101→\t// Trigger next zoom level at less than this many visible datapoints\n 102→\tTrigger int `json:\"trigger\"`\n 103→}\n 104→\n 105→type NATSConfig struct {\n 106→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 107→\tSubjectNodeState string `json:\"subject-node-state\"`\n 108→}\n 109→\n 110→type IntRange struct {\n 111→\tFrom int `json:\"from\"`\n 112→\tTo int `json:\"to\"`\n 113→}\n 114→\n 115→type TimeRange struct {\n 116→\tFrom *time.Time `json:\"from\"`\n 117→\tTo *time.Time `json:\"to\"`\n 118→\tRange string `json:\"range,omitempty\"`\n 119→}\n 120→\n 121→type FilterRanges struct {\n 122→\tDuration *IntRange `json:\"duration\"`\n 123→\tNumNodes *IntRange `json:\"num-nodes\"`\n 124→\tStartTime *TimeRange `json:\"start-time\"`\n 125→}\n 126→\n 127→var Keys ProgramConfig = ProgramConfig{\n 128→\tAddr: \"localhost:8080\",\n 129→\tEmbedStaticFiles: true,\n 130→\tDB: \"./var/job.db\",\n 131→\tSessionMaxAge: \"168h\",\n 132→\tStopJobsExceedingWalltime: 0,\n 133→\tShortRunningJobsDuration: 5 * 60,\n 134→}\n 135→\n 136→func Init(mainConfig json.RawMessage) {\n 137→\tValidate(configSchema, mainConfig)\n 138→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 139→\tdec.DisallowUnknownFields()\n 140→\tif err := dec.Decode(&Keys); err != nil {\n 141→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 142→\t}\n 143→\n 144→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 145→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 146→\t}\n 147→}\n 148→"}]},"uuid":"e6358d7f-bcda-40eb-92a8-0532a738776b","timestamp":"2026-03-11T05:06:45.965Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/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\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}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\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":148,"startLine":1,"totalLines":148}},"sourceToolAssistantUUID":"a97aac77-5732-42aa-9773-ad0d59047c72"} +{"parentUuid":"e6358d7f-bcda-40eb-92a8-0532a738776b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Xc34zdv2JP91KmnzYBQzif","toolUseID":"toolu_01Xc34zdv2JP91KmnzYBQzif","timestamp":"2026-03-11T05:06:45.966Z","uuid":"90a7241d-a445-4f84-82b1-beb4bf40de4c"} +{"parentUuid":"b2dc1e62-6a8d-43ec-b268-7a3bcbcadcf0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xc34zdv2JP91KmnzYBQzif","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→ },\n 126→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 127→ },\n 128→ \"nodestate-retention\": {\n 129→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 130→ \"type\": \"object\",\n 131→ \"properties\": {\n 132→ \"policy\": {\n 133→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 134→ \"type\": \"string\",\n 135→ \"enum\": [\"delete\", \"move\"]\n 136→ },\n 137→ \"age\": {\n 138→ \"description\": \"Retention age in hours (default: 24).\",\n 139→ \"type\": \"integer\"\n 140→ },\n 141→ \"target-kind\": {\n 142→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 143→ \"type\": \"string\",\n 144→ \"enum\": [\"file\", \"s3\"]\n 145→ },\n 146→ \"target-path\": {\n 147→ \"description\": \"Filesystem path for parquet file target.\",\n 148→ \"type\": \"string\"\n 149→ },\n 150→ \"target-endpoint\": {\n 151→ \"description\": \"S3 endpoint URL.\",\n 152→ \"type\": \"string\"\n 153→ },\n 154→ \"target-bucket\": {\n 155→ \"description\": \"S3 bucket name.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-access-key\": {\n 159→ \"description\": \"S3 access key.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-secret-key\": {\n 163→ \"description\": \"S3 secret key.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-region\": {\n 167→ \"description\": \"S3 region.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-use-path-style\": {\n 171→ \"description\": \"Use path-style S3 addressing.\",\n 172→ \"type\": \"boolean\"\n 173→ },\n 174→ \"max-file-size-mb\": {\n 175→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 176→ \"type\": \"integer\"\n 177→ }\n 178→ },\n 179→ \"required\": [\"policy\"]\n 180→ }\n 181→ }\n 182→}`\n 183→"}]},"uuid":"c9c163fe-8747-4410-b8ad-2bc70df78e1f","timestamp":"2026-03-11T05:06:45.966Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/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 },\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 }\n}`\n","numLines":183,"startLine":1,"totalLines":183}},"sourceToolAssistantUUID":"b2dc1e62-6a8d-43ec-b268-7a3bcbcadcf0"} 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+{"parentUuid":"6e68d15c-f572-494e-bee5-07d66ce78555","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PxDgtD8AXogveVvBbaut5v","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check how `initDatabase` works in main.go."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5155,"cache_read_input_tokens":64355,"cache_creation":{"ephemeral_5m_input_tokens":5155,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviG7j31EEmbWpDgagib","type":"assistant","uuid":"6d6ba849-b57c-4df3-a2d9-ec5062bf05f6","timestamp":"2026-03-11T05:06:53.907Z"} 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+{"parentUuid":"b3b5ee7f-7ce6-4d75-9802-19b73b898ff5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_014mBadNPV4FgBaRG36z8NE8","toolUseID":"toolu_014mBadNPV4FgBaRG36z8NE8","timestamp":"2026-03-11T05:06:55.574Z","uuid":"cb22177d-2b91-4303-b88c-5cea7157ceaa"} +{"parentUuid":"b3b5ee7f-7ce6-4d75-9802-19b73b898ff5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014mBadNPV4FgBaRG36z8NE8","type":"tool_result","content":"108-}\n109-\n110:func initDatabase() error {\n111:\trepository.Connect(config.Keys.DB)\n112-\treturn nil\n113-}\n114-\n115-func handleDatabaseCommands() error {\n116-\tif flagMigrateDB {\n--\n486-\n487-\t// Initialize database\n488:\tif err := initDatabase(); err != nil {\n489-\t\treturn err\n490-\t}\n491-\n492-\t// Handle user commands (add, delete, sync, JWT)\n493-\tif err := handleUserCommands(); err != nil {"}]},"uuid":"66ba65fe-f2ac-4c6f-a050-ffa0fa0cbe21","timestamp":"2026-03-11T05:06:55.573Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"108-}\n109-\n110:func initDatabase() error {\n111:\trepository.Connect(config.Keys.DB)\n112-\treturn nil\n113-}\n114-\n115-func handleDatabaseCommands() error {\n116-\tif flagMigrateDB {\n--\n486-\n487-\t// Initialize database\n488:\tif err := initDatabase(); err != nil {\n489-\t\treturn err\n490-\t}\n491-\n492-\t// Handle user commands (add, delete, sync, JWT)\n493-\tif err := handleUserCommands(); err != nil {","numLines":18},"sourceToolAssistantUUID":"b3b5ee7f-7ce6-4d75-9802-19b73b898ff5"} +{"parentUuid":"66ba65fe-f2ac-4c6f-a050-ffa0fa0cbe21","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MXTji8okeCEHHUGCGdgysa","type":"message","role":"assistant","content":[{"type":"text","text":"I have all the information I need. Here's my assessment:\n\n**Yes, it makes sense** to make these configurable, especially since:\n1. `RepositoryConfig` + `SetConfig()` already exist but are **never wired up** — there's no way to override defaults from config.json today\n2. A 512GB server could comfortably use 2-4GB per connection cache (8-16GB total) and a 16GB soft heap limit\n3. The pattern already exists in the codebase (`MaxOpenConnections`, `MaxIdleConnections` are in `RepositoryConfig` but also can't be tuned from config.json)\n\nThe scope would be:\n1. Add `DbCacheSizeMB` and `DbSoftHeapLimitMB` fields to `RepositoryConfig`\n2. Add a `\"db-config\"` section to `ProgramConfig` and the JSON schema\n3. Wire `SetConfig()` into `initDatabase()` in main.go\n4. Use the config values in `Connect()` and `setupSqlite()`\n\nLet me update the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":474,"cache_read_input_tokens":69510,"cache_creation":{"ephemeral_5m_input_tokens":474,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviGpoLQyUixeE1NdMVu","type":"assistant","uuid":"f079606e-7e06-421b-af72-0892227940b9","timestamp":"2026-03-11T05:07:04.456Z"} +{"type":"queue-operation","operation":"enqueue","timestamp":"2026-03-11T05:07:23.941Z","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","content":"The production db is 80GB. So the suggested values for cache and heap limit potentially limit the performance"} +{"parentUuid":"f079606e-7e06-421b-af72-0892227940b9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MXTji8okeCEHHUGCGdgysa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0156Ar3pVufKheshkitKUACQ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md","old_string":"# Fix SQLite Memory Not Released After Query Timeout\n\n## Context\n\nOn the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n\n## Root Cause Analysis\n\n### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n\n**File:** `internal/repository/dbConnection.go:82`\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n```\n\nSQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n\nFor comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n\n### 2. No query context/timeout — queries run indefinitely\n\n**File:** `internal/repository/jobQuery.go:87`\n\n```go\nrows, err := query.RunWith(r.stmtCache).Query() // No context!\n```\n\nThe `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n\n### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n\nSQLite has built-in memory management PRAGMAs that are not configured:\n- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n- **`shrink_memory`** — immediately releases all unused memory back to the OS\n\nNone of these are set, so SQLite allocates freely and never releases.\n\n### 4. `temp_store = memory` amplifies the problem\n\n**File:** `internal/repository/dbConnection.go:41`\n\nTemporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n\n### 5. Connections live for 1 hour after use\n\n`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n\n## Proposed Changes\n\n### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go:82`\n\nChange from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n```\n\nWith 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n\n### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n\n```go\n\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n```\n\nThis is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n\n### Fix 3: Pass context to database queries (medium impact, medium effort)\n\nChange `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n\n**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n\n**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n\n| File | Method | Line | Change |\n|------|--------|------|--------|\n| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n\nMethods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n\n### Fix 4: Reduce `ConnMaxIdleTime`\n\n**File:** `internal/repository/config.go`\n\nReduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n\n## Scope — All Four Fixes\n\nAll fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n\n## Files to Modify\n\n- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. Monitor RSS memory before/after on production:\n - Trigger a heavy query, observe memory spike\n - Verify memory drops back down within seconds (not hours)\n4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n5. `PRAGMA soft_heap_limit;` — should show `1073741824`","new_string":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 200, // 200MB per connection\nDbSoftHeapLimitMB: 1024, // 1GB process-wide\n```\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. 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The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n\n## Root Cause Analysis\n\n### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n\n**File:** `internal/repository/dbConnection.go:82`\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n```\n\nSQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n\nFor comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n\n### 2. No query context/timeout — queries run indefinitely\n\n**File:** `internal/repository/jobQuery.go:87`\n\n```go\nrows, err := query.RunWith(r.stmtCache).Query() // No context!\n```\n\nThe `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n\n### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n\nSQLite has built-in memory management PRAGMAs that are not configured:\n- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n- **`shrink_memory`** — immediately releases all unused memory back to the OS\n\nNone of these are set, so SQLite allocates freely and never releases.\n\n### 4. `temp_store = memory` amplifies the problem\n\n**File:** `internal/repository/dbConnection.go:41`\n\nTemporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n\n### 5. Connections live for 1 hour after use\n\n`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n\n## Proposed Changes\n\n### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go:82`\n\nChange from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n```\n\nWith 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n\n### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n\n```go\n\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n```\n\nThis is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n\n### Fix 3: Pass context to database queries (medium impact, medium effort)\n\nChange `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n\n**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n\n**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n\n| File | Method | Line | Change |\n|------|--------|------|--------|\n| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n\nMethods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n\n### Fix 4: Reduce `ConnMaxIdleTime`\n\n**File:** `internal/repository/config.go`\n\nReduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n\n## Scope — All Four Fixes\n\nAll fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n\n## Files to Modify\n\n- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. Monitor RSS memory before/after on production:\n - Trigger a heavy query, observe memory spike\n - Verify memory drops back down within seconds (not hours)\n4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n5. `PRAGMA soft_heap_limit;` — should show `1073741824`","newString":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 200, // 200MB per connection\nDbSoftHeapLimitMB: 1024, // 1GB process-wide\n```\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values","originalFile":"# Fix SQLite Memory Not Released After Query Timeout\n\n## Context\n\nOn the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.\n\n## Root Cause Analysis\n\n### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)\n\n**File:** `internal/repository/dbConnection.go:82`\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n```\n\nSQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.\n\nFor comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).\n\n### 2. No query context/timeout — queries run indefinitely\n\n**File:** `internal/repository/jobQuery.go:87`\n\n```go\nrows, err := query.RunWith(r.stmtCache).Query() // No context!\n```\n\nThe `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.\n\n### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`\n\nSQLite has built-in memory management PRAGMAs that are not configured:\n- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)\n- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded\n- **`shrink_memory`** — immediately releases all unused memory back to the OS\n\nNone of these are set, so SQLite allocates freely and never releases.\n\n### 4. `temp_store = memory` amplifies the problem\n\n**File:** `internal/repository/dbConnection.go:41`\n\nTemporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.\n\n### 5. Connections live for 1 hour after use\n\n`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.\n\n## Proposed Changes\n\n### Fix 1: Set reasonable `cache_size` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go:82`\n\nChange from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):\n\n```go\nconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection\n```\n\nWith 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.\n\n### Fix 2: Add `soft_heap_limit` (high impact, low risk)\n\n**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:\n\n```go\n\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections\n```\n\nThis is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.\n\n### Fix 3: Pass context to database queries (medium impact, medium effort)\n\nChange `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.\n\n**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.\n\n**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):\n\n| File | Method | Line | Change |\n|------|--------|------|--------|\n| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |\n| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |\n| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |\n| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |\n| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |\n| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |\n\nMethods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.\n\n### Fix 4: Reduce `ConnMaxIdleTime`\n\n**File:** `internal/repository/config.go`\n\nReduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.\n\n## Scope — All Four Fixes\n\nAll fixes are complementary, independent, and low-risk. No disadvantages to applying all together.\n\n## Files to Modify\n\n- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)\n- `internal/repository/jobQuery.go` — QueryContext (Fix 3)\n- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)\n- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)\n- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/...` — tests pass\n3. Monitor RSS memory before/after on production:\n - Trigger a heavy query, observe memory spike\n - Verify memory drops back down within seconds (not hours)\n4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`\n5. `PRAGMA soft_heap_limit;` — should show `1073741824`\n","structuredPatch":[{"oldStart":1,"oldLines":127,"newStart":1,"newLines":177,"lines":["-# Fix SQLite Memory Not Released After Query Timeout","+# Make SQLite Memory Limits Configurable via config.json"," "," ## Context"," ","-On the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration.","+Fixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json."," ","-## Root Cause Analysis","+## Current State (already implemented)"," ","-### 1. `_cache_size=1000000000` is effectively unlimited (~4TB)","+- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)","+- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)","+- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)","+- `MaxOpenConnections = 4` (hardcoded default in `config.go`)","+- Context propagation to all query call sites (already done)"," ","-**File:** `internal/repository/dbConnection.go:82`","+## Problem"," ","-```go","-connectionURLParams.Add(\"_cache_size\", \"1000000000\")","-```","+`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema."," ","-SQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means \"never evict cached pages.\" After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes.","+## Proposed Changes"," ","-For comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB).","+### 1. Add SQLite memory fields to `RepositoryConfig`"," ","-### 2. No query context/timeout — queries run indefinitely","+**File:** `internal/repository/config.go`"," ","-**File:** `internal/repository/jobQuery.go:87`","+Add two new fields with sensible defaults:"," "," ```go","-rows, err := query.RunWith(r.stmtCache).Query() // No context!","-```","+type RepositoryConfig struct {","+ // ... existing fields ..."," ","-The `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache.","+ // DbCacheSizeMB is the SQLite page cache size per connection in MB.","+ // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4","+ // and DbCacheSizeMB=200, total page cache is up to 800MB.","+ // Default: 200 (MB)","+ DbCacheSizeMB int"," ","-### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory`","+ // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.","+ // SQLite will try to release cache pages to stay under this limit.","+ // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","+ // Default: 1024 (1GB)","+ DbSoftHeapLimitMB int","+}","+```"," ","-SQLite has built-in memory management PRAGMAs that are not configured:","-- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit)","-- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded","-- **`shrink_memory`** — immediately releases all unused memory back to the OS","+Update `DefaultConfig()`:","+```go","+DbCacheSizeMB: 200, // 200MB per connection","+DbSoftHeapLimitMB: 1024, // 1GB process-wide","+```"," ","-None of these are set, so SQLite allocates freely and never releases.","+### 2. Use config values in `Connect()` and `setupSqlite()`"," ","-### 4. `temp_store = memory` amplifies the problem","+**File:** `internal/repository/dbConnection.go`"," ","-**File:** `internal/repository/dbConnection.go:41`","+In `Connect()`, replace the hardcoded cache_size:","+```go","+cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","+connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))","+```"," ","-Temporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache.","+Change `setupSqlite()` to accept the config and use it for soft_heap_limit:","+```go","+func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {","+ pragmas := []string{","+ \"temp_store = memory\",","+ fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),","+ }","+ // ...","+}","+```"," ","-### 5. Connections live for 1 hour after use","-","-`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages.","-","-## Proposed Changes","-","-### Fix 1: Set reasonable `cache_size` (high impact, low risk)","-","-**File:** `internal/repository/dbConnection.go:82`","-","-Change from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection):","-","+Update the call site in `Connect()`:"," ```go","-connectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection","+err = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)"," ```"," ","-With 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans.","+### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema"," ","-### Fix 2: Add `soft_heap_limit` (high impact, low risk)","+**File:** `internal/config/config.go`"," ","-**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`:","+Add a new struct and field to `ProgramConfig`:"," "," ```go","-\"soft_heap_limit = 1073741824\", // 1GB soft limit across all connections","+type DbConfig struct {","+ CacheSizeMB int `json:\"cache-size-mb\"`","+ SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`","+ MaxOpenConnections int `json:\"max-open-connections\"`","+ MaxIdleConnections int `json:\"max-idle-connections\"`","+ ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+}","+","+type ProgramConfig struct {","+ // ... existing fields ...","+ DbConfig *DbConfig `json:\"db-config\"`","+}"," ```"," ","-This is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively.","+**File:** `internal/config/schema.go`"," ","-### Fix 3: Pass context to database queries (medium impact, medium effort)","+Add the schema section for validation."," ","-Change `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query.","+### 4. Wire `SetConfig()` in `initDatabase()`"," ","-**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed.","+**File:** `cmd/cc-backend/main.go`"," ","-**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`):","+```go","+func initDatabase() error {","+ if config.Keys.DbConfig != nil {","+ cfg := repository.DefaultConfig()","+ dc := config.Keys.DbConfig","+ if dc.CacheSizeMB > 0 {","+ cfg.DbCacheSizeMB = dc.CacheSizeMB","+ }","+ if dc.SoftHeapLimitMB > 0 {","+ cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB","+ }","+ if dc.MaxOpenConnections > 0 {","+ cfg.MaxOpenConnections = dc.MaxOpenConnections","+ }","+ if dc.MaxIdleConnections > 0 {","+ cfg.MaxIdleConnections = dc.MaxIdleConnections","+ }","+ if dc.ConnectionMaxIdleTimeMins > 0 {","+ cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute","+ }","+ repository.SetConfig(cfg)","+ }","+ repository.Connect(config.Keys.DB)","+ return nil","+}","+```"," ","-| File | Method | Line | Change |","-|------|--------|------|--------|","-| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` |","-| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` |","-| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` |","-| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` |","-| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` |","-| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` |","-| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` |","-| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` |","-| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` |","-| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` |","-| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` |","-| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` |","-| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) |","-| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) |","+### 5. Log effective values on startup"," ","-Methods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`.","+**File:** `internal/repository/dbConnection.go`"," ","-### Fix 4: Reduce `ConnMaxIdleTime`","+After setting PRAGMAs, log the effective values so operators can verify:","+```go","+cclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",","+ repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)","+```"," ","-**File:** `internal/repository/config.go`","+## Example config.json (for 512GB server)"," ","-Reduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner.","+```json","+{","+ \"main\": {","+ \"db\": \"./var/job.db\",","+ \"db-config\": {","+ \"cache-size-mb\": 2048,","+ \"soft-heap-limit-mb\": 16384,","+ \"max-open-connections\": 8,","+ \"max-idle-time-minutes\": 30","+ }","+ }","+}","+```"," ","-## Scope — All Four Fixes","+This would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom."," ","-All fixes are complementary, independent, and low-risk. No disadvantages to applying all together.","-"," ## Files to Modify"," ","-- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2)","-- `internal/repository/jobQuery.go` — QueryContext (Fix 3)","-- `internal/repository/job.go` — QueryContext for other query methods (Fix 3)","-- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3)","-- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional)","+| File | Changes |","+|------|---------|","+| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |","+| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |","+| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |","+| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |","+| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |"," "," ## Verification"," "," 1. `go build ./...` — compiles","-2. `go test ./internal/repository/...` — tests pass","-3. Monitor RSS memory before/after on production:","- - Trigger a heavy query, observe memory spike","- - Verify memory drops back down within seconds (not hours)","-4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000`","-5. `PRAGMA soft_heap_limit;` — should show `1073741824`","+2. `go test ./internal/repository/... ./internal/config/...` — tests pass","+3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible","+4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI","+5. Check startup log shows effective values"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7faccf2d-1f17-4294-a901-5a4b1b3de26a"} +{"type":"queue-operation","operation":"remove","timestamp":"2026-03-11T05:08:15.005Z","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48"} +{"parentUuid":"61c87ffd-5bfc-42ee-8630-b26707a84e57","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01A3ekBhzXtpjyAoVo65Gqm8","type":"message","role":"assistant","content":[{"type":"text","text":"Good point — with an 80GB database on a 512GB server, you'd want the cache to hold a significant portion of the DB. Let me adjust the defaults and example values."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4493,"cache_read_input_tokens":69984,"cache_creation":{"ephemeral_5m_input_tokens":4493,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviNgQE59TEmykkZWeWR","type":"assistant","uuid":"6ca2dff1-9508-4357-b7ba-fd646ca60ca7","timestamp":"2026-03-11T05:08:18.254Z"} +{"parentUuid":"6ca2dff1-9508-4357-b7ba-fd646ca60ca7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01A3ekBhzXtpjyAoVo65Gqm8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TqTNB47PkGxnz4wtXTvodB","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md","old_string":"Update `DefaultConfig()`:\n```go\nDbCacheSizeMB: 200, // 200MB per connection\nDbSoftHeapLimitMB: 1024, // 1GB process-wide\n```","new_string":"Update `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4493,"cache_read_input_tokens":69984,"output_tokens":384,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4493},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviNgQE59TEmykkZWeWR","type":"assistant","uuid":"b5416b24-6e78-4fa0-a8f6-305051b010d8","timestamp":"2026-03-11T05:08:23.716Z"} +{"parentUuid":"b5416b24-6e78-4fa0-a8f6-305051b010d8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TqTNB47PkGxnz4wtXTvodB","toolUseID":"toolu_01TqTNB47PkGxnz4wtXTvodB","timestamp":"2026-03-11T05:08:23.737Z","uuid":"e91c02d9-3963-4c8f-a4f6-5ca6909d4833"} +{"parentUuid":"b5416b24-6e78-4fa0-a8f6-305051b010d8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TqTNB47PkGxnz4wtXTvodB","type":"tool_result","content":"The file /Users/jan/.claude/plans/refactored-wishing-journal.md has been updated successfully."}]},"uuid":"831fde90-b9d9-44cb-88cc-c4d4d7dd0b83","timestamp":"2026-03-11T05:08:23.737Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","oldString":"Update `DefaultConfig()`:\n```go\nDbCacheSizeMB: 200, // 200MB per connection\nDbSoftHeapLimitMB: 1024, // 1GB process-wide\n```","newString":"Update `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.","originalFile":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 200, // 200MB per connection\nDbSoftHeapLimitMB: 1024, // 1GB process-wide\n```\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\n","structuredPatch":[{"oldStart":44,"oldLines":10,"newStart":44,"newLines":12,"lines":[" "," Update `DefaultConfig()`:"," ```go","-DbCacheSizeMB: 200, // 200MB per connection","-DbSoftHeapLimitMB: 1024, // 1GB process-wide","+DbCacheSizeMB: 2048, // 2GB per connection","+DbSoftHeapLimitMB: 16384, // 16GB process-wide"," ```"," ","+**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.","+"," ### 2. Use config values in `Connect()` and `setupSqlite()`"," "," **File:** `internal/repository/dbConnection.go`"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b5416b24-6e78-4fa0-a8f6-305051b010d8"} +{"parentUuid":"831fde90-b9d9-44cb-88cc-c4d4d7dd0b83","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01J7V1jT3A86bqSxZauvqydn","type":"message","role":"assistant","content":[{"type":"text","text":"Also update the example config and the already-hardcoded values discussion:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":516,"cache_read_input_tokens":74477,"cache_creation":{"ephemeral_5m_input_tokens":516,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviPL7NLRceMEzP1ogKW","type":"assistant","uuid":"64618314-535b-49ef-adb2-1f3cf31468a7","timestamp":"2026-03-11T05:08:26.478Z"} +{"parentUuid":"64618314-535b-49ef-adb2-1f3cf31468a7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01J7V1jT3A86bqSxZauvqydn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GHJF9LEqF3wDy58mUERbGL","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md","old_string":"## Example config.json (for 512GB server)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.","new_string":"## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":516,"cache_read_input_tokens":74477,"output_tokens":571,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":516},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviPL7NLRceMEzP1ogKW","type":"assistant","uuid":"1e236768-8934-40ac-aae9-f59af7fa0b05","timestamp":"2026-03-11T05:08:33.880Z"} +{"parentUuid":"1e236768-8934-40ac-aae9-f59af7fa0b05","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GHJF9LEqF3wDy58mUERbGL","toolUseID":"toolu_01GHJF9LEqF3wDy58mUERbGL","timestamp":"2026-03-11T05:08:33.894Z","uuid":"298cdc3f-2f96-4c36-a624-ac360c7be873"} +{"parentUuid":"1e236768-8934-40ac-aae9-f59af7fa0b05","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GHJF9LEqF3wDy58mUERbGL","type":"tool_result","content":"The file /Users/jan/.claude/plans/refactored-wishing-journal.md has been updated successfully."}]},"uuid":"fa8a7945-9ab7-4343-a332-69828167503d","timestamp":"2026-03-11T05:08:33.894Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","oldString":"## Example config.json (for 512GB server)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.","newString":"## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.","originalFile":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\n","structuredPatch":[{"oldStart":142,"oldLines":15,"newStart":142,"newLines":15,"lines":[" repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)"," ```"," ","-## Example config.json (for 512GB server)","+## Example config.json (for 512GB server with 80GB database)"," "," ```json"," {"," \"main\": {"," \"db\": \"./var/job.db\","," \"db-config\": {","- \"cache-size-mb\": 2048,","- \"soft-heap-limit-mb\": 16384,","+ \"cache-size-mb\": 16384,","+ \"soft-heap-limit-mb\": 131072,"," \"max-open-connections\": 8,"," \"max-idle-time-minutes\": 30"," }"]},{"oldStart":158,"oldLines":8,"newStart":158,"newLines":12,"lines":[" }"," ```"," ","-This would give: 8 connections × 2GB cache = 16GB max page cache, with a 16GB soft heap limit. On a 512GB server that's ~3% of RAM — plenty of headroom.","+This would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM."," ","+**Sizing guidance (for documentation):**","+- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.","+- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.","+"," ## Files to Modify"," "," | File | Changes |"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1e236768-8934-40ac-aae9-f59af7fa0b05"} +{"parentUuid":"fa8a7945-9ab7-4343-a332-69828167503d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01VQ5VY6M3nzB2eQXEzb3SJ3","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the \"Current State\" section to note these hardcoded values need to be replaced:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":608,"cache_read_input_tokens":74993,"cache_creation":{"ephemeral_5m_input_tokens":608,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviQ5GRTiKQy6nuJ9XyS","type":"assistant","uuid":"b924cf44-e2f1-4b48-b3be-956987675a17","timestamp":"2026-03-11T05:08:36.514Z"} +{"parentUuid":"b924cf44-e2f1-4b48-b3be-956987675a17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01VQ5VY6M3nzB2eQXEzb3SJ3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YUuhJ8WNsPPHN7v6vnTmVk","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md","old_string":"## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)","new_string":"## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":608,"cache_read_input_tokens":74993,"output_tokens":420,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":608},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviQ5GRTiKQy6nuJ9XyS","type":"assistant","uuid":"a1668cda-71a1-44cd-9715-92597549df49","timestamp":"2026-03-11T05:08:41.022Z"} 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/Users/jan/.claude/plans/refactored-wishing-journal.md has been updated successfully."}]},"uuid":"83f7398f-ec8b-47fd-90d4-cbb823a4270d","timestamp":"2026-03-11T05:08:41.047Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","oldString":"## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)","newString":"## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)","originalFile":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)\n- `MaxOpenConnections = 4` (hardcoded default in `config.go`)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\n","structuredPatch":[{"oldStart":4,"oldLines":12,"newStart":4,"newLines":12,"lines":[" "," Fixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json."," ","-## Current State (already implemented)","+## Current State (already implemented on this branch)"," ","-- `_cache_size = -200000` (200MB per connection, hardcoded in `dbConnection.go:82`)","-- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded in `setupSqlite()`)","-- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default in `config.go`)","-- `MaxOpenConnections = 4` (hardcoded default in `config.go`)","+- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**","+- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**","+- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)","+- `MaxOpenConnections = 4` (hardcoded default)"," - Context propagation to all query call sites (already done)"," "," ## Problem"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a1668cda-71a1-44cd-9715-92597549df49"} +{"parentUuid":"83f7398f-ec8b-47fd-90d4-cbb823a4270d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Wj8tFinSLJZ7pmPC427A8n","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HX8TkSNWLKGdX8zjtE4LyH","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":457,"cache_read_input_tokens":75601,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":457},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviQc65am3fQJFNK3Rtq","type":"assistant","uuid":"37563d84-c83f-48a8-930c-a0ac84966b90","timestamp":"2026-03-11T05:08:43.784Z"} +{"parentUuid":"37563d84-c83f-48a8-930c-a0ac84966b90","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01HX8TkSNWLKGdX8zjtE4LyH","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"ce3a62f9-e93f-4971-a6fd-b61f48f0a7c0","timestamp":"2026-03-11T05:08:43.787Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"37563d84-c83f-48a8-930c-a0ac84966b90"} +{"parentUuid":"ce3a62f9-e93f-4971-a6fd-b61f48f0a7c0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XpeDMGgP7dAAU3v5waH6fC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T6eZ9nZpwWy887kh8erVav","name":"ExitPlanMode","input":{"plan":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":831,"cache_read_input_tokens":76058,"output_tokens":39,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":831},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviQoUvhoXvjVDZ2FyXX","type":"assistant","uuid":"a75bcb1d-fa24-448d-ab80-1449274f64e8","timestamp":"2026-03-11T05:08:45.604Z"} +{"parentUuid":"a75bcb1d-fa24-448d-ab80-1449274f64e8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","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_01T6eZ9nZpwWy887kh8erVav"}]},"uuid":"dc021bc4-2a78-4451-bf33-b74a665948a2","timestamp":"2026-03-11T05:09:30.792Z","toolUseResult":"Error: 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.","sourceToolAssistantUUID":"a75bcb1d-fa24-448d-ab80-1449274f64e8"} +{"parentUuid":"dc021bc4-2a78-4451-bf33-b74a665948a2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01SZg5V6vhiGwLroskH8kCr6","type":"message","role":"assistant","content":[{"type":"text","text":"Understood — waiting for your input on how to proceed."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":227,"cache_read_input_tokens":76889,"output_tokens":15,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":227},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviUGagTo8tFRQwD5GBm","type":"assistant","uuid":"a9c7b015-b216-4bce-bd92-d584e89e6260","timestamp":"2026-03-11T05:09:33.117Z"} +{"parentUuid":"a9c7b015-b216-4bce-bd92-d584e89e6260","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"075a5215-590c-4da1-887c-540b891d20bb","toolUseID":"075a5215-590c-4da1-887c-540b891d20bb","timestamp":"2026-03-11T05:09:33.133Z","uuid":"1251e0dc-96d2-484c-9086-863d1a7bae94"} +{"parentUuid":"1251e0dc-96d2-484c-9086-863d1a7bae94","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":677}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-11T05:09:33.810Z","uuid":"eb77b0d3-55a8-4cd2-8fc4-8fc8b2f89ea7","toolUseID":"075a5215-590c-4da1-887c-540b891d20bb"} +{"parentUuid":"eb77b0d3-55a8-4cd2-8fc4-8fc8b2f89ea7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"520afa6a-6a70-437b-96c1-35c40ed3ec48","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"system","subtype":"turn_duration","durationMs":192763,"timestamp":"2026-03-11T05:09:33.811Z","uuid":"828e1b6d-90a8-4444-a5b3-af3ce28339ba","isMeta":false} diff --git a/e3/68e6d8abf3/1/metadata.json b/e3/68e6d8abf3/1/metadata.json new file mode 100644 index 00000000..2fa408b7 --- /dev/null +++ b/e3/68e6d8abf3/1/metadata.json @@ -0,0 +1,34 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "e368e6d8abf3", + "session_id": "520afa6a-6a70-437b-96c1-35c40ed3ec48", + "strategy": "manual-commit", + "created_at": "2026-03-11T05:14:07.476561Z", + "branch": "optimize-db-indices", + "checkpoints_count": 2, + "files_touched": [ + "internal/repository/config.go", + "internal/repository/dbConnection.go", + "internal/repository/jobFind.go", + "internal/repository/jobQuery.go", + "internal/repository/stats.go" + ], + "agent": "Claude Code", + "turn_id": "443ef781634b", + "token_usage": { + "input_tokens": 5108, + "cache_creation_tokens": 68335, + "cache_read_tokens": 1908216, + "output_tokens": 13846, + "api_call_count": 34 + }, + "initial_attribution": { + "calculated_at": "2026-03-11T05:14:07.210716Z", + "agent_lines": 37, + "human_added": 98, + "human_modified": 0, + "human_removed": 0, + "total_committed": 135, + "agent_percentage": 27.40740740740741 + } +} diff --git a/e3/68e6d8abf3/1/prompt.txt b/e3/68e6d8abf3/1/prompt.txt new file mode 100644 index 00000000..ae9373bb --- /dev/null +++ b/e3/68e6d8abf3/1/prompt.txt @@ -0,0 +1,136 @@ +Implement the following plan: + +# Fix SQLite Memory Not Released After Query Timeout + +## Context + +On the production 20M-row database, when a query runs into a timeout (due to full-table scan with wrong index), the memory allocated by SQLite is **not released afterwards**. The process stays bloated until restarted. This is caused by three compounding issues in the current SQLite configuration. + +## Root Cause Analysis + +### 1. `_cache_size=1000000000` is effectively unlimited (~4TB) + +**File:** `internal/repository/dbConnection.go:82` + +```go +connectionURLParams.Add("_cache_size", "1000000000") +``` + +SQLite's `cache_size` PRAGMA interprets **positive values as page count** (default page size = 4KB). So 1,000,000,000 pages × 4KB = ~4TB. In practice, this means "never evict cached pages." After a full-table scan of 20M rows, every page touched stays in SQLite's page cache. With 4 connections (`MaxOpenConns=4`), each can independently cache gigabytes. + +For comparison, the SQLite archive backend in `pkg/archive/sqliteBackend.go` uses `PRAGMA cache_size=-64000` (64MB — negative = KiB). + +### 2. No query context/timeout — queries run indefinitely + +**File:** `internal/repository/jobQuery.go:87` + +```go +rows, err := query.RunWith(r.stmtCache).Query() // No context! +``` + +The `ctx` parameter is available but never passed to the database layer. Squirrel supports `.QueryContext(ctx)` but it's not used. If the HTTP request times out or the client disconnects, the query keeps running and scanning pages into cache. + +### 3. No SQLite memory limit — no `soft_heap_limit` or `shrink_memory` + +SQLite has built-in memory management PRAGMAs that are not configured: +- **`soft_heap_limit`** — asks SQLite to keep heap usage below N bytes (best-effort, releases cache pages to stay under limit) +- **`hard_heap_limit`** — hard cap, queries fail with SQLITE_NOMEM if exceeded +- **`shrink_memory`** — immediately releases all unused memory back to the OS + +None of these are set, so SQLite allocates freely and never releases. + +### 4. `temp_store = memory` amplifies the problem + +**File:** `internal/repository/dbConnection.go:41` + +Temporary B-tree sorts (exactly what happens during ORDER BY on a full-table scan) are stored in RAM. With 20M rows and no sort optimization, this can be gigabytes of temporary memory on top of the page cache. + +### 5. Connections live for 1 hour after use + +`ConnMaxIdleTime = 1 hour` means a connection that just did a massive full-table scan sits idle in the pool for up to an hour, holding all its cached pages. + +## Proposed Changes + +### Fix 1: Set reasonable `cache_size` (high impact, low risk) + +**File:** `internal/repository/dbConnection.go:82` + +Change from `1000000000` (1B pages ≈ 4TB) to `-200000` (200MB in KiB notation, per connection): + +```go +connectionURLParams.Add("_cache_size", "-200000") // 200MB per connection +``` + +With 4 max connections: 4 × 200MB = 800MB max page cache. This is generous enough for normal queries but prevents runaway memory after full-table scans. + +### Fix 2: Add `soft_heap_limit` (high impact, low risk) + +**File:** `internal/repository/dbConnection.go`, in `setupSqlite()`: + +```go +"soft_heap_limit = 1073741824", // 1GB soft limit across all connections +``` + +This is a **process-wide** limit (not per-connection). SQLite will try to release cache pages to stay under 1GB total. It's a soft limit — it won't abort queries, just evicts cache more aggressively. + +### Fix 3: Pass context to database queries (medium impact, medium effort) + +Change `.Query()` to `.QueryContext(ctx)`, `.QueryRow()` to `.QueryRowContext(ctx)`, and `.Scan()` to `.ScanContext(ctx)` for all query methods that already receive a `ctx` parameter. This allows HTTP request cancellation to stop the SQLite query. + +**Note:** The `stmtCache` from squirrel supports `QueryContext`/`QueryRowContext`. Only methods that already have `ctx` are changed — no signature changes needed. + +**Call sites to update** (methods that have `ctx` and call `.Query()`/`.QueryRow()`/`.Scan()`): + +| File | Method | Line | Change | +|------|--------|------|--------| +| `jobQuery.go` | `QueryJobs` | 87 | `.Query()` → `.QueryContext(ctx)` | +| `jobQuery.go` | `CountJobs` | 129 | `.Scan()` → `.ScanContext(ctx)` | +| `stats.go` | `JobsStatsGrouped` | 233 | `.Query()` → `.QueryContext(ctx)` | +| `stats.go` | `JobsStats` | 358 | `.QueryRow()` → `.QueryRowContext(ctx)` | +| `stats.go` | `JobCountGrouped` | 443 | `.Query()` → `.QueryContext(ctx)` | +| `stats.go` | `AddJobCountGrouped` | 504 | `.Query()` → `.QueryContext(ctx)` | +| `stats.go` | `AddJobCount` | 569 | `.Scan()` → `.ScanContext(ctx)` | +| `stats.go` | `jobsStatisticsHistogram` | 758 | `.Query()` → `.QueryContext(ctx)` | +| `stats.go` | `jobsDurationStatisticsHistogram` | 832 | `.Query()` → `.QueryContext(ctx)` | +| `stats.go` | `jobsMetricStatisticsHistogram` | 962 | `.Query()` → `.QueryContext(ctx)` | +| `jobFind.go` | `FindByID` | 174 | `.QueryRow()` → `.QueryRowContext(ctx)` | +| `jobFind.go` | `FindByJobID` | 220 | `.QueryRow()` → `.QueryRowContext(ctx)` | +| `job.go` | `CountGroupedJobs` | 410 | `.Scan()` → `.ScanContext(ctx)` (needs ctx added to signature) | +| `job.go` | `GetJobList` | 751 | `.Query()` → `.QueryContext(ctx)` (needs ctx added to signature) | + +Methods without `ctx` in their signature (e.g., `GetJobList`, `CountGroupedJobs`) can either have `ctx` added or be left for a follow-up. The priority is the methods already accepting `ctx`. + +### Fix 4: Reduce `ConnMaxIdleTime` + +**File:** `internal/repository/config.go` + +Reduce `ConnectionMaxIdleTime` from 1 hour to 10 minutes. Idle connections with cached pages are released sooner. + +## Scope — All Four Fixes + +All fixes are complementary, independent, and low-risk. No disadvantages to applying all together. + +## Files to Modify + +- `internal/repository/dbConnection.go` — cache_size, soft_heap_limit (Fixes 1 & 2) +- `internal/repository/jobQuery.go` — QueryContext (Fix 3) +- `internal/repository/job.go` — QueryContext for other query methods (Fix 3) +- `internal/repository/stats.go` — QueryContext for stats queries (Fix 3) +- `internal/repository/config.go` — ConnMaxIdleTime (Fix 4, optional) + +## Verification + +1. `go build ./...` — compiles +2. `go test ./internal/repository/...` — tests pass +3. Monitor RSS memory before/after on production: + - Trigger a heavy query, observe memory spike + - Verify memory drops back down within seconds (not hours) +4. `PRAGMA cache_size;` in sqlite3 CLI on running DB — should show `-200000` +5. `PRAGMA soft_heap_limit;` — should show `1073741824` + + +If 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-CC-cc-backend/c31c699a-f492-48f7-bcf0-35d3ceeac243.jsonl + +--- + +Our server has 512GB main memory. Does it make sense to make cache_size and soft_heap_limit configurable to make use of the main memory capacity? \ No newline at end of file diff --git a/e3/68e6d8abf3/metadata.json b/e3/68e6d8abf3/metadata.json index 8971e564..da58a538 100644 --- a/e3/68e6d8abf3/metadata.json +++ b/e3/68e6d8abf3/metadata.json @@ -3,7 +3,7 @@ "checkpoint_id": "e368e6d8abf3", "strategy": "manual-commit", "branch": "optimize-db-indices", - "checkpoints_count": 1, + "checkpoints_count": 3, "files_touched": [ "cmd/cc-backend/main.go", "internal/config/config.go", @@ -21,13 +21,20 @@ "context": "/e3/68e6d8abf3/0/context.md", "content_hash": "/e3/68e6d8abf3/0/content_hash.txt", "prompt": "/e3/68e6d8abf3/0/prompt.txt" + }, + { + "metadata": "/e3/68e6d8abf3/1/metadata.json", + "transcript": "/e3/68e6d8abf3/1/full.jsonl", + "context": "/e3/68e6d8abf3/1/context.md", + "content_hash": "/e3/68e6d8abf3/1/content_hash.txt", + "prompt": "/e3/68e6d8abf3/1/prompt.txt" } ], "token_usage": { - "input_tokens": 15, - "cache_creation_tokens": 27408, - "cache_read_tokens": 402383, - "output_tokens": 3673, - "api_call_count": 13 + "input_tokens": 5123, + "cache_creation_tokens": 95743, + "cache_read_tokens": 2310599, + "output_tokens": 17519, + "api_call_count": 47 } } From e41b729f67fd6781444bedd0f03316ab2f8d3fdc Mon Sep 17 00:00:00 2001 From: Jan Eitzinger Date: Wed, 11 Mar 2026 06:21:50 +0100 Subject: [PATCH 6/6] Checkpoint: 1526810bf9c1 Entire-Session: 50b2b10a-1be0-441f-aafb-3c5828f0fcc9 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/09fa239-e3b0c4 --- 15/26810bf9c1/0/content_hash.txt | 1 + 15/26810bf9c1/0/context.md | 18 +++ 15/26810bf9c1/0/full.jsonl | 84 ++++++++++++++ 15/26810bf9c1/0/metadata.json | 30 +++++ 15/26810bf9c1/0/prompt.txt | 192 +++++++++++++++++++++++++++++++ 15/26810bf9c1/metadata.json | 26 +++++ 6 files changed, 351 insertions(+) create mode 100644 15/26810bf9c1/0/content_hash.txt create mode 100644 15/26810bf9c1/0/context.md create mode 100644 15/26810bf9c1/0/full.jsonl create mode 100644 15/26810bf9c1/0/metadata.json create mode 100644 15/26810bf9c1/0/prompt.txt create mode 100644 15/26810bf9c1/metadata.json diff --git a/15/26810bf9c1/0/content_hash.txt b/15/26810bf9c1/0/content_hash.txt new file mode 100644 index 00000000..3e7f9197 --- /dev/null +++ b/15/26810bf9c1/0/content_hash.txt @@ -0,0 +1 @@ +sha256:a9b5a1b4f23d30a8266524cf397682b8fc8e155606b43d2dca29be961e51f7af \ No newline at end of file diff --git a/15/26810bf9c1/0/context.md b/15/26810bf9c1/0/context.md new file mode 100644 index 00000000..75baa641 --- /dev/null +++ b/15/26810bf9c1/0/context.md @@ -0,0 +1,18 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Make SQLite Memory Limits Configurable via config.json + +## Context + +Fixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any re... + +### Prompt 2 + +Also add a section in the README.md discussing and documenting the new db options. + diff --git a/15/26810bf9c1/0/full.jsonl b/15/26810bf9c1/0/full.jsonl new file mode 100644 index 00000000..11454c4c --- /dev/null +++ b/15/26810bf9c1/0/full.jsonl @@ -0,0 +1,84 @@ +{"type":"file-history-snapshot","messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b3256b97-8aaa-431a-9357-c02f6452a917","toolUseID":"b3256b97-8aaa-431a-9357-c02f6452a917","timestamp":"2026-03-11T05:09:33.882Z","uuid":"9955f7f6-5a90-4c2c-94aa-2d8ffcb38f0a"} +{"parentUuid":"9955f7f6-5a90-4c2c-94aa-2d8ffcb38f0a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\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-CC-cc-backend/520afa6a-6a70-437b-96c1-35c40ed3ec48.jsonl"},"uuid":"62550838-b2ab-4b82-8144-d30034cc5aee","timestamp":"2026-03-11T05:09:30.791Z","planContent":"# Make SQLite Memory Limits Configurable via config.json\n\n## Context\n\nFixes 1-4 for the SQLite memory leak are already implemented on this branch. The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json.\n\n## Current State (already implemented on this branch)\n\n- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable**\n- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable**\n- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default)\n- `MaxOpenConnections = 4` (hardcoded default)\n- Context propagation to all query call sites (already done)\n\n## Problem\n\n`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `\"db-config\"` section in `ProgramConfig` or the JSON schema.\n\n## Proposed Changes\n\n### 1. Add SQLite memory fields to `RepositoryConfig`\n\n**File:** `internal/repository/config.go`\n\nAdd two new fields with sensible defaults:\n\n```go\ntype RepositoryConfig struct {\n // ... existing fields ...\n\n // DbCacheSizeMB is the SQLite page cache size per connection in MB.\n // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n // and DbCacheSizeMB=200, total page cache is up to 800MB.\n // Default: 200 (MB)\n DbCacheSizeMB int\n\n // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n // SQLite will try to release cache pages to stay under this limit.\n // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n // Default: 1024 (1GB)\n DbSoftHeapLimitMB int\n}\n```\n\nUpdate `DefaultConfig()`:\n```go\nDbCacheSizeMB: 2048, // 2GB per connection\nDbSoftHeapLimitMB: 16384, // 16GB process-wide\n```\n\n**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production.\n\n### 2. Use config values in `Connect()` and `setupSqlite()`\n\n**File:** `internal/repository/dbConnection.go`\n\nIn `Connect()`, replace the hardcoded cache_size:\n```go\ncacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\nconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n```\n\nChange `setupSqlite()` to accept the config and use it for soft_heap_limit:\n```go\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n pragmas := []string{\n \"temp_store = memory\",\n fmt.Sprintf(\"soft_heap_limit = %d\", cfg.DbSoftHeapLimitMB*1024*1024),\n }\n // ...\n}\n```\n\nUpdate the call site in `Connect()`:\n```go\nerr = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB)\n```\n\n### 3. Add `\"db-config\"` section to `ProgramConfig` and JSON schema\n\n**File:** `internal/config/config.go`\n\nAdd a new struct and field to `ProgramConfig`:\n\n```go\ntype DbConfig struct {\n CacheSizeMB int `json:\"cache-size-mb\"`\n SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n MaxOpenConnections int `json:\"max-open-connections\"`\n MaxIdleConnections int `json:\"max-idle-connections\"`\n ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype ProgramConfig struct {\n // ... existing fields ...\n DbConfig *DbConfig `json:\"db-config\"`\n}\n```\n\n**File:** `internal/config/schema.go`\n\nAdd the schema section for validation.\n\n### 4. Wire `SetConfig()` in `initDatabase()`\n\n**File:** `cmd/cc-backend/main.go`\n\n```go\nfunc initDatabase() error {\n if config.Keys.DbConfig != nil {\n cfg := repository.DefaultConfig()\n dc := config.Keys.DbConfig\n if dc.CacheSizeMB > 0 {\n cfg.DbCacheSizeMB = dc.CacheSizeMB\n }\n if dc.SoftHeapLimitMB > 0 {\n cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n }\n if dc.MaxOpenConnections > 0 {\n cfg.MaxOpenConnections = dc.MaxOpenConnections\n }\n if dc.MaxIdleConnections > 0 {\n cfg.MaxIdleConnections = dc.MaxIdleConnections\n }\n if dc.ConnectionMaxIdleTimeMins > 0 {\n cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n }\n repository.SetConfig(cfg)\n }\n repository.Connect(config.Keys.DB)\n return nil\n}\n```\n\n### 5. Log effective values on startup\n\n**File:** `internal/repository/dbConnection.go`\n\nAfter setting PRAGMAs, log the effective values so operators can verify:\n```go\ncclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n```\n\n## Example config.json (for 512GB server with 80GB database)\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM.\n\n**Sizing guidance (for documentation):**\n- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum.\n- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing.\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults |\n| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log |\n| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` |\n| `internal/config/schema.go` | Add `\"db-config\"` JSON schema section |\n| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` |\n\n## Verification\n\n1. `go build ./...` — compiles\n2. `go test ./internal/repository/... ./internal/config/...` — tests pass\n3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible\n4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI\n5. Check startup log shows effective values\n"} +{"parentUuid":"62550838-b2ab-4b82-8144-d30034cc5aee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvMBCkYICxgCKkCBRIoceZRhwFgKmWLKLJLwPMfKVuy5yYH1iKsS1yeadNH4unYpOiazLhvUFPZ/pNHemxCHuo3gVxo7zwZBCSxGEgwSllDKueK3s0llcP4aDJ1d8IE6HqLTa0VT7SIw6tU5EX2yti7tldSSBk11hIpI67QYke357ozMtbIEdVzzOjjdiKONiMn+QzbGXPzSKlv1WNbZRqwFtyFdulqR6jbKHRPWtk5RxwtJAmqkanSimoUCq88mk52wH9oebvC4yDBApZJpxkhmZr4si05u6k4F4mrgwp5vehpofZRDRQeU5MEDyYxaSAr2k+ZXGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"127451ff-f5bd-4066-aa31-65d3dc19f628","timestamp":"2026-03-11T05:09:35.906Z"} +{"parentUuid":"127451ff-f5bd-4066-aa31-65d3dc19f628","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the current state of the files I need to modify."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"779b9a3b-efad-4131-9d61-baee348c41e2","timestamp":"2026-03-11T05:09:36.520Z"} +{"parentUuid":"779b9a3b-efad-4131-9d61-baee348c41e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Du6tqDmVPTLrjyyNy2bj14","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"0636bdba-8808-48a8-bf49-2c8219c4d4a5","timestamp":"2026-03-11T05:09:36.929Z"} +{"parentUuid":"0636bdba-8808-48a8-bf49-2c8219c4d4a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Du6tqDmVPTLrjyyNy2bj14","toolUseID":"toolu_01Du6tqDmVPTLrjyyNy2bj14","timestamp":"2026-03-11T05:09:36.953Z","uuid":"e035e696-522b-41c4-94ee-d01c9f42ec59"} +{"parentUuid":"0636bdba-8808-48a8-bf49-2c8219c4d4a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Du6tqDmVPTLrjyyNy2bj14","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→}\n 38→\n 39→// DefaultConfig returns the default repository configuration.\n 40→// These values are optimized for typical deployments.\n 41→func DefaultConfig() *RepositoryConfig {\n 42→\treturn &RepositoryConfig{\n 43→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 44→\t\tMaxOpenConnections: 4,\n 45→\t\tMaxIdleConnections: 4,\n 46→\t\tConnectionMaxLifetime: time.Hour,\n 47→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 48→\t\tMinRunningJobDuration: 600, // 10 minutes\n 49→\t}\n 50→}\n 51→\n 52→// repoConfig is the package-level configuration instance.\n 53→// It is initialized with defaults and can be overridden via SetConfig.\n 54→var repoConfig *RepositoryConfig = DefaultConfig()\n 55→\n 56→// SetConfig sets the repository configuration.\n 57→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 58→// If not called, default values from DefaultConfig() are used.\n 59→func SetConfig(cfg *RepositoryConfig) {\n 60→\tif cfg != nil {\n 61→\t\trepoConfig = cfg\n 62→\t}\n 63→}\n 64→\n 65→// GetConfig returns the current repository configuration.\n 66→func GetConfig() *RepositoryConfig {\n 67→\treturn repoConfig\n 68→}\n 69→"}]},"uuid":"22b53c7d-c60a-4065-acae-9adab8ce5d1c","timestamp":"2026-03-11T05:09:36.953Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/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\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":69,"startLine":1,"totalLines":69}},"sourceToolAssistantUUID":"0636bdba-8808-48a8-bf49-2c8219c4d4a5"} +{"parentUuid":"22b53c7d-c60a-4065-acae-9adab8ce5d1c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8","timestamp":"2026-03-11T05:09:37.368Z"} +{"parentUuid":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","toolUseID":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","timestamp":"2026-03-11T05:09:37.379Z","uuid":"1d0392d9-6a3e-4589-a4b5-e830d2ddaf4c"} +{"parentUuid":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BKBWQKQPCE4r5zFpPW9R3V","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n 43→\t}\n 44→\n 45→\tfor _, pragma := range pragmas {\n 46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 47→\t\tif err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\t// Update query planner statistics so SQLite picks optimal indexes.\n 53→\t// Without this, SQLite guesses row distributions and often chooses wrong\n 54→\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n 55→\t// in temp B-trees instead of using covering indexes.\n 56→\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n 57→\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n 58→\t}\n 59→\n 60→\treturn nil\n 61→}\n 62→\n 63→func Connect(db string) {\n 64→\tvar err error\n 65→\tvar dbHandle *sqlx.DB\n 66→\n 67→\tdbConnOnce.Do(func() {\n 68→\t\topts := DatabaseOptions{\n 69→\t\t\tURL: db,\n 70→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 71→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 72→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 73→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 74→\t\t}\n 75→\n 76→\t\t// TODO: Have separate DB handles for Writes and Reads\n 77→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 78→\t\tconnectionURLParams := make(url.Values)\n 79→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 80→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 81→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 82→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 83→\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n 84→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 85→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 86→\n 87→\t\tif cclog.Loglevel() == \"debug\" {\n 88→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 89→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 90→\t\t} else {\n 91→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 92→\t\t}\n 93→\n 94→\t\tif err != nil {\n 95→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 96→\t\t}\n 97→\n 98→\t\terr = setupSqlite(dbHandle.DB)\n 99→\t\tif err != nil {\n 100→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 101→\t\t}\n 102→\n 103→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 104→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 105→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 106→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 107→\n 108→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 109→\t\terr = checkDBVersion(dbHandle.DB)\n 110→\t\tif err != nil {\n 111→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 112→\t\t}\n 113→\t})\n 114→}\n 115→\n 116→func GetConnection() *DBConnection {\n 117→\tif dbConnInstance == nil {\n 118→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 119→\t}\n 120→\n 121→\treturn dbConnInstance\n 122→}\n 123→\n 124→// ResetConnection closes the current database connection and resets the connection state.\n 125→// This function is intended for testing purposes only to allow test isolation.\n 126→func ResetConnection() error {\n 127→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 128→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 129→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 130→\t\t}\n 131→\t}\n 132→\n 133→\tdbConnInstance = nil\n 134→\tdbConnOnce = sync.Once{}\n 135→\tjobRepoInstance = nil\n 136→\tjobRepoOnce = sync.Once{}\n 137→\tnodeRepoInstance = nil\n 138→\tnodeRepoOnce = sync.Once{}\n 139→\tuserRepoInstance = nil\n 140→\tuserRepoOnce = sync.Once{}\n 141→\tuserCfgRepoInstance = nil\n 142→\tuserCfgRepoOnce = sync.Once{}\n 143→\n 144→\treturn nil\n 145→}\n 146→"}]},"uuid":"17230809-b16c-4518-bbde-c5782806f72e","timestamp":"2026-03-11T05:09:37.378Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"bd3bf703-de35-444d-b8ca-1020dc6c9ab8"} +{"parentUuid":"17230809-b16c-4518-bbde-c5782806f72e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SDdnC9NJxd27v7JjWA7g3v","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"98e904a3-81e6-4b71-b923-4e5d6b9b217f","timestamp":"2026-03-11T05:09:37.811Z"} +{"parentUuid":"98e904a3-81e6-4b71-b923-4e5d6b9b217f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SDdnC9NJxd27v7JjWA7g3v","toolUseID":"toolu_01SDdnC9NJxd27v7JjWA7g3v","timestamp":"2026-03-11T05:09:37.825Z","uuid":"0a718ac4-7028-4d72-b6f7-829748bbc9a9"} +{"parentUuid":"98e904a3-81e6-4b71-b923-4e5d6b9b217f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SDdnC9NJxd27v7JjWA7g3v","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→\n 82→type NodeStateRetention struct {\n 83→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 84→\tAge int `json:\"age\"` // hours, default 24\n 85→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 86→\tTargetPath string `json:\"target-path\"`\n 87→\tTargetEndpoint string `json:\"target-endpoint\"`\n 88→\tTargetBucket string `json:\"target-bucket\"`\n 89→\tTargetAccessKey string `json:\"target-access-key\"`\n 90→\tTargetSecretKey string `json:\"target-secret-key\"`\n 91→\tTargetRegion string `json:\"target-region\"`\n 92→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 93→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 94→}\n 95→\n 96→type ResampleConfig struct {\n 97→\t// Minimum number of points to trigger resampling of data\n 98→\tMinimumPoints int `json:\"minimum-points\"`\n 99→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 100→\tResolutions []int `json:\"resolutions\"`\n 101→\t// Trigger next zoom level at less than this many visible datapoints\n 102→\tTrigger int `json:\"trigger\"`\n 103→}\n 104→\n 105→type NATSConfig struct {\n 106→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 107→\tSubjectNodeState string `json:\"subject-node-state\"`\n 108→}\n 109→\n 110→type IntRange struct {\n 111→\tFrom int `json:\"from\"`\n 112→\tTo int `json:\"to\"`\n 113→}\n 114→\n 115→type TimeRange struct {\n 116→\tFrom *time.Time `json:\"from\"`\n 117→\tTo *time.Time `json:\"to\"`\n 118→\tRange string `json:\"range,omitempty\"`\n 119→}\n 120→\n 121→type FilterRanges struct {\n 122→\tDuration *IntRange `json:\"duration\"`\n 123→\tNumNodes *IntRange `json:\"num-nodes\"`\n 124→\tStartTime *TimeRange `json:\"start-time\"`\n 125→}\n 126→\n 127→var Keys ProgramConfig = ProgramConfig{\n 128→\tAddr: \"localhost:8080\",\n 129→\tEmbedStaticFiles: true,\n 130→\tDB: \"./var/job.db\",\n 131→\tSessionMaxAge: \"168h\",\n 132→\tStopJobsExceedingWalltime: 0,\n 133→\tShortRunningJobsDuration: 5 * 60,\n 134→}\n 135→\n 136→func Init(mainConfig json.RawMessage) {\n 137→\tValidate(configSchema, mainConfig)\n 138→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 139→\tdec.DisallowUnknownFields()\n 140→\tif err := dec.Decode(&Keys); err != nil {\n 141→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 142→\t}\n 143→\n 144→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 145→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 146→\t}\n 147→}\n 148→"}]},"uuid":"7d611e4a-3b06-458e-ad46-4e21883b07ca","timestamp":"2026-03-11T05:09:37.825Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/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\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}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\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":148,"startLine":1,"totalLines":148}},"sourceToolAssistantUUID":"98e904a3-81e6-4b71-b923-4e5d6b9b217f"} +{"parentUuid":"7d611e4a-3b06-458e-ad46-4e21883b07ca","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KJECS8nsj1pP4hSJ28oMGL","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":9062,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"4df955c4-860d-415e-a430-b9634e068053","timestamp":"2026-03-11T05:09:38.574Z"} +{"parentUuid":"4df955c4-860d-415e-a430-b9634e068053","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KJECS8nsj1pP4hSJ28oMGL","toolUseID":"toolu_01KJECS8nsj1pP4hSJ28oMGL","timestamp":"2026-03-11T05:09:38.588Z","uuid":"44cdd5ab-3189-4292-a221-3a793ede67e3"} +{"parentUuid":"4df955c4-860d-415e-a430-b9634e068053","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KJECS8nsj1pP4hSJ28oMGL","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→ },\n 126→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 127→ },\n 128→ \"nodestate-retention\": {\n 129→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 130→ \"type\": \"object\",\n 131→ \"properties\": {\n 132→ \"policy\": {\n 133→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 134→ \"type\": \"string\",\n 135→ \"enum\": [\"delete\", \"move\"]\n 136→ },\n 137→ \"age\": {\n 138→ \"description\": \"Retention age in hours (default: 24).\",\n 139→ \"type\": \"integer\"\n 140→ },\n 141→ \"target-kind\": {\n 142→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 143→ \"type\": \"string\",\n 144→ \"enum\": [\"file\", \"s3\"]\n 145→ },\n 146→ \"target-path\": {\n 147→ \"description\": \"Filesystem path for parquet file target.\",\n 148→ \"type\": \"string\"\n 149→ },\n 150→ \"target-endpoint\": {\n 151→ \"description\": \"S3 endpoint URL.\",\n 152→ \"type\": \"string\"\n 153→ },\n 154→ \"target-bucket\": {\n 155→ \"description\": \"S3 bucket name.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-access-key\": {\n 159→ \"description\": \"S3 access key.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-secret-key\": {\n 163→ \"description\": \"S3 secret key.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-region\": {\n 167→ \"description\": \"S3 region.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-use-path-style\": {\n 171→ \"description\": \"Use path-style S3 addressing.\",\n 172→ \"type\": \"boolean\"\n 173→ },\n 174→ \"max-file-size-mb\": {\n 175→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 176→ \"type\": \"integer\"\n 177→ }\n 178→ },\n 179→ \"required\": [\"policy\"]\n 180→ }\n 181→ }\n 182→}`\n 183→"}]},"uuid":"48ba27a9-ec40-4394-9626-0c26558cad3b","timestamp":"2026-03-11T05:09:38.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/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 },\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 }\n}`\n","numLines":183,"startLine":1,"totalLines":183}},"sourceToolAssistantUUID":"4df955c4-860d-415e-a430-b9634e068053"} +{"parentUuid":"48ba27a9-ec40-4394-9626-0c26558cad3b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Frv71qwYZMfUaGYWeNxwn3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9062,"cache_read_input_tokens":8781,"output_tokens":345,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":9062},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviUVtd5RmPb9AGewXai","type":"assistant","uuid":"2a4f23a0-b455-4286-9166-3ab6e9722010","timestamp":"2026-03-11T05:09:38.603Z"} +{"parentUuid":"2a4f23a0-b455-4286-9166-3ab6e9722010","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","toolUseID":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","timestamp":"2026-03-11T05:09:38.609Z","uuid":"b6d7f4d7-0089-4cf8-a46c-5ca8fe78e493"} +{"parentUuid":"2a4f23a0-b455-4286-9166-3ab6e9722010","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NQpEEAbPEajNhxC4Q5HzXg","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 main provides the entry point for the ClusterCockpit backend server.\n 7→// It orchestrates initialization of all subsystems including configuration,\n 8→// database, authentication, and the HTTP server.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"os\"\n 16→\t\"os/signal\"\n 17→\t\"runtime/debug\"\n 18→\t\"strings\"\n 19→\t\"sync\"\n 20→\t\"syscall\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 40→\t\"github.com/google/gops/agent\"\n 41→\t\"github.com/joho/godotenv\"\n 42→\n 43→\t_ \"github.com/mattn/go-sqlite3\"\n 44→)\n 45→\n 46→const logoString = `\n 47→ _____ _ _ ____ _ _ _\n 48→/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n 49→| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n 50→| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n 51→\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n 52→ |_|\n 53→`\n 54→\n 55→// Environment variable names\n 56→const (\n 57→\tenvGOGC = \"GOGC\"\n 58→)\n 59→\n 60→// Default configurations\n 61→const (\n 62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n 63→)\n 64→\n 65→var (\n 66→\tdate string\n 67→\tcommit string\n 68→\tversion string\n 69→)\n 70→\n 71→func printVersion() {\n 72→\tfmt.Print(logoString)\n 73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n 74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n 75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n 76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n 77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n 78→}\n 79→\n 80→func initGops() error {\n 81→\tif !flagGops {\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif err := agent.Listen(agent.Options{}); err != nil {\n 86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n 87→\t}\n 88→\treturn nil\n 89→}\n 90→\n 91→func loadEnvironment() error {\n 92→\tif err := godotenv.Load(); err != nil {\n 93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n 94→\t}\n 95→\treturn nil\n 96→}\n 97→\n 98→func initConfiguration() error {\n 99→\tccconf.Init(flagConfigFile)\n 100→\n 101→\tcfg := ccconf.GetPackageConfig(\"main\")\n 102→\tif cfg == nil {\n 103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n 104→\t}\n 105→\n 106→\tconfig.Init(cfg)\n 107→\treturn nil\n 108→}\n 109→\n 110→func initDatabase() error {\n 111→\trepository.Connect(config.Keys.DB)\n 112→\treturn nil\n 113→}\n 114→\n 115→func handleDatabaseCommands() error {\n 116→\tif flagMigrateDB {\n 117→\t\terr := repository.MigrateDB(config.Keys.DB)\n 118→\t\tif err != nil {\n 119→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n 120→\t\t}\n 121→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n 122→\t\t\tconfig.Keys.DB, repository.Version)\n 123→\t}\n 124→\n 125→\tif flagRevertDB {\n 126→\t\terr := repository.RevertDB(config.Keys.DB)\n 127→\t\tif err != nil {\n 128→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n 129→\t\t}\n 130→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n 131→\t\t\tconfig.Keys.DB, repository.Version-1)\n 132→\t}\n 133→\n 134→\tif flagForceDB {\n 135→\t\terr := repository.ForceDB(config.Keys.DB)\n 136→\t\tif err != nil {\n 137→\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n 138→\t\t}\n 139→\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n 140→\t\t\tconfig.Keys.DB, repository.Version)\n 141→\t}\n 142→\n 143→\treturn nil\n 144→}\n 145→\n 146→func handleUserCommands() error {\n 147→\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n 148→\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n 149→\t}\n 150→\n 151→\tif !config.Keys.DisableAuthentication {\n 152→\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n 153→\t\t\tauth.Init(&cfg)\n 154→\t\t} else {\n 155→\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n 156→\t\t\tauth.Init(nil)\n 157→\t\t}\n 158→\n 159→\t\t// Check for default security keys\n 160→\t\tcheckDefaultSecurityKeys()\n 161→\n 162→\t\tif flagNewUser != \"\" {\n 163→\t\t\tif err := addUser(flagNewUser); err != nil {\n 164→\t\t\t\treturn err\n 165→\t\t\t}\n 166→\t\t}\n 167→\n 168→\t\tif flagDelUser != \"\" {\n 169→\t\t\tif err := delUser(flagDelUser); err != nil {\n 170→\t\t\t\treturn err\n 171→\t\t\t}\n 172→\t\t}\n 173→\n 174→\t\tauthHandle := auth.GetAuthInstance()\n 175→\n 176→\t\tif flagSyncLDAP {\n 177→\t\t\tif err := syncLDAP(authHandle); err != nil {\n 178→\t\t\t\treturn err\n 179→\t\t\t}\n 180→\t\t}\n 181→\n 182→\t\tif flagGenJWT != \"\" {\n 183→\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n 184→\t\t\t\treturn err\n 185→\t\t\t}\n 186→\t\t}\n 187→\t}\n 188→\n 189→\treturn nil\n 190→}\n 191→\n 192→// checkDefaultSecurityKeys warns if default JWT keys are detected\n 193→func checkDefaultSecurityKeys() {\n 194→\t// Default JWT public key from init.go\n 195→\tdefaultJWTPublic := \"REDACTED\"\n 196→\n 197→\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n 198→\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n 199→\t}\n 200→}\n 201→\n 202→func addUser(userSpec string) error {\n 203→\tparts := strings.SplitN(userSpec, \":\", 3)\n 204→\tif len(parts) != 3 || len(parts[0]) == 0 {\n 205→\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n 206→\t}\n 207→\n 208→\tur := repository.GetUserRepository()\n 209→\tif err := ur.AddUser(&schema.User{\n 210→\t\tUsername: parts[0],\n 211→\t\tProjects: make([]string, 0),\n 212→\t\tPassword: parts[2],\n 213→\t\tRoles: strings.Split(parts[1], \",\"),\n 214→\t}); err != nil {\n 215→\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n 216→\t}\n 217→\n 218→\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n 219→\treturn nil\n 220→}\n 221→\n 222→func delUser(username string) error {\n 223→\tur := repository.GetUserRepository()\n 224→\tif err := ur.DelUser(username); err != nil {\n 225→\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n 226→\t}\n 227→\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n 228→\treturn nil\n 229→}\n 230→\n 231→func syncLDAP(authHandle *auth.Authentication) error {\n 232→\tif authHandle.LdapAuth == nil {\n 233→\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n 234→\t}\n 235→\n 236→\tif err := authHandle.LdapAuth.Sync(); err != nil {\n 237→\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n 238→\t}\n 239→\n 240→\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n 241→\treturn nil\n 242→}\n 243→\n 244→func generateJWT(authHandle *auth.Authentication, username string) error {\n 245→\tur := repository.GetUserRepository()\n 246→\tuser, err := ur.GetUser(username)\n 247→\tif err != nil {\n 248→\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n 249→\t}\n 250→\n 251→\tif !user.HasRole(schema.RoleAPI) {\n 252→\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n 253→\t}\n 254→\n 255→\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n 256→\tif err != nil {\n 257→\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n 258→\t}\n 259→\n 260→\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n 261→\treturn nil\n 262→}\n 263→\n 264→func initSubsystems() error {\n 265→\t// Initialize nats client\n 266→\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n 267→\tif err := nats.Init(natsConfig); err != nil {\n 268→\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n 269→\t}\n 270→\tnats.Connect()\n 271→\n 272→\t// Initialize job archive\n 273→\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n 274→\tif archiveCfg == nil {\n 275→\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n 276→\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n 277→\t}\n 278→\tif err := archive.Init(archiveCfg); err != nil {\n 279→\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n 280→\t}\n 281→\n 282→\t// Handle database re-initialization\n 283→\tif flagReinitDB {\n 284→\t\tif err := importer.InitDB(); err != nil {\n 285→\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n 286→\t\t}\n 287→\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n 288→\t}\n 289→\n 290→\t// Handle job import\n 291→\tif flagImportJob != \"\" {\n 292→\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n 293→\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n 294→\t\t}\n 295→\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n 296→\t}\n 297→\n 298→\t// Initialize taggers\n 299→\tif config.Keys.EnableJobTaggers {\n 300→\t\ttagger.Init()\n 301→\t}\n 302→\n 303→\t// Apply tags if requested\n 304→\tif flagApplyTags {\n 305→\t\ttagger.Init()\n 306→\n 307→\t\tif err := tagger.RunTaggers(); err != nil {\n 308→\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\treturn nil\n 313→}\n 314→\n 315→func runServer(ctx context.Context) error {\n 316→\tvar wg sync.WaitGroup\n 317→\n 318→\t// Initialize metric store if configuration is provided\n 319→\thaveMetricstore := false\n 320→\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n 321→\tif mscfg != nil {\n 322→\t\tmetrics := metricstore.BuildMetricList()\n 323→\t\tmetricstore.Init(mscfg, metrics, &wg)\n 324→\n 325→\t\t// Inject repository as NodeProvider to break import cycle\n 326→\t\tms := metricstore.GetMemoryStore()\n 327→\t\tjobRepo := repository.GetJobRepository()\n 328→\t\tms.SetNodeProvider(jobRepo)\n 329→\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n 330→\t\thaveMetricstore = true\n 331→\t} else {\n 332→\t\tmetricstore.MetricStoreHandle = nil\n 333→\t\tcclog.Debug(\"missing internal metricstore configuration\")\n 334→\t}\n 335→\n 336→\t// Initialize external metric stores if configuration is provided\n 337→\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n 338→\tif mscfg != nil {\n 339→\t\terr := metricdispatch.Init(mscfg)\n 340→\n 341→\t\tif err != nil {\n 342→\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n 343→\t\t} else {\n 344→\t\t\thaveMetricstore = true\n 345→\t\t}\n 346→\t}\n 347→\n 348→\tif !haveMetricstore {\n 349→\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n 350→\t}\n 351→\n 352→\t// Start archiver and task manager\n 353→\tarchiver.Start(repository.GetJobRepository(), ctx)\n 354→\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n 355→\n 356→\t// Initialize web UI\n 357→\tcfg := ccconf.GetPackageConfig(\"ui\")\n 358→\tif err := web.Init(cfg); err != nil {\n 359→\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n 360→\t}\n 361→\n 362→\t// Initialize HTTP server\n 363→\tsrv, err := NewServer(version, commit, date)\n 364→\tif err != nil {\n 365→\t\treturn fmt.Errorf(\"creating server: %w\", err)\n 366→\t}\n 367→\n 368→\t// Channel to collect errors from server\n 369→\terrChan := make(chan error, 1)\n 370→\n 371→\t// Start HTTP server\n 372→\twg.Go(func() {\n 373→\t\tif err := srv.Start(ctx); err != nil {\n 374→\t\t\terrChan <- err\n 375→\t\t}\n 376→\t})\n 377→\n 378→\t// Handle shutdown signals\n 379→\twg.Add(1)\n 380→\tsigs := make(chan os.Signal, 1)\n 381→\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n 382→\tgo func() {\n 383→\t\tdefer wg.Done()\n 384→\t\tselect {\n 385→\t\tcase <-sigs:\n 386→\t\t\tcclog.Info(\"Shutdown signal received\")\n 387→\t\tcase <-ctx.Done():\n 388→\t\t}\n 389→\n 390→\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n 391→\t\tsrv.Shutdown(ctx)\n 392→\t\tutil.FsWatcherShutdown()\n 393→\t\ttaskmanager.Shutdown()\n 394→\t}()\n 395→\n 396→\t// Set GC percent if not configured\n 397→\tif os.Getenv(envGOGC) == \"\" {\n 398→\t\t// trigger GC when heap grows 15% above the previous live set\n 399→\t\tdebug.SetGCPercent(15)\n 400→\t}\n 401→\truntime.SystemdNotify(true, \"running\")\n 402→\n 403→\twaitDone := make(chan struct{})\n 404→\tgo func() {\n 405→\t\twg.Wait()\n 406→\t\tclose(waitDone)\n 407→\t}()\n 408→\n 409→\tgo func() {\n 410→\t\t<-waitDone\n 411→\t\tclose(errChan)\n 412→\t}()\n 413→\n 414→\t// Wait for either:\n 415→\t// 1. An error from server startup\n 416→\t// 2. Completion of all goroutines (normal shutdown or crash)\n 417→\tselect {\n 418→\tcase err := <-errChan:\n 419→\t\t// errChan will be closed when waitDone is closed, which happens\n 420→\t\t// when all goroutines complete (either from normal shutdown or error)\n 421→\t\tif err != nil {\n 422→\t\t\treturn err\n 423→\t\t}\n 424→\tcase <-time.After(100 * time.Millisecond):\n 425→\t\t// Give the server 100ms to start and report any immediate startup errors\n 426→\t\t// After that, just wait for normal shutdown completion\n 427→\t\tselect {\n 428→\t\tcase err := <-errChan:\n 429→\t\t\tif err != nil {\n 430→\t\t\t\treturn err\n 431→\t\t\t}\n 432→\t\tcase <-waitDone:\n 433→\t\t\t// Normal shutdown completed\n 434→\t\t}\n 435→\t}\n 436→\n 437→\tcclog.Print(\"Graceful shutdown completed!\")\n 438→\treturn nil\n 439→}\n 440→\n 441→func run() error {\n 442→\tcliInit()\n 443→\n 444→\tif flagVersion {\n 445→\t\tprintVersion()\n 446→\t\treturn nil\n 447→\t}\n 448→\n 449→\t// Initialize logger\n 450→\tcclog.Init(flagLogLevel, flagLogDateTime)\n 451→\n 452→\t// Handle init flag\n 453→\tif flagInit {\n 454→\t\tinitEnv()\n 455→\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n 456→\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n 457→\t\t\t\"Add your job-archive at ./var/job-archive.\")\n 458→\t}\n 459→\n 460→\t// Initialize gops agent\n 461→\tif err := initGops(); err != nil {\n 462→\t\treturn err\n 463→\t}\n 464→\n 465→\t// Initialize subsystems in dependency order:\n 466→\t// 1. Load environment variables from .env file (contains sensitive configuration)\n 467→\t// 2. Load configuration from config.json (may reference environment variables)\n 468→\t// 3. Handle database migration commands if requested\n 469→\t// 4. Initialize database connection (requires config for connection string)\n 470→\t// 5. Handle user commands if requested (requires database and authentication config)\n 471→\t// 6. Initialize subsystems like archive and metrics (require config and database)\n 472→\n 473→\t// Load environment and configuration\n 474→\tif err := loadEnvironment(); err != nil {\n 475→\t\treturn err\n 476→\t}\n 477→\n 478→\tif err := initConfiguration(); err != nil {\n 479→\t\treturn err\n 480→\t}\n 481→\n 482→\t// Handle database migration (migrate, revert, force)\n 483→\tif err := handleDatabaseCommands(); err != nil {\n 484→\t\treturn err\n 485→\t}\n 486→\n 487→\t// Initialize database\n 488→\tif err := initDatabase(); err != nil {\n 489→\t\treturn err\n 490→\t}\n 491→\n 492→\t// Handle user commands (add, delete, sync, JWT)\n 493→\tif err := handleUserCommands(); err != nil {\n 494→\t\treturn err\n 495→\t}\n 496→\n 497→\t// Initialize subsystems (archive, metrics, taggers)\n 498→\tif err := initSubsystems(); err != nil {\n 499→\t\treturn err\n 500→\t}\n 501→\n 502→\t// Exit if start server is not requested\n 503→\tif !flagServer {\n 504→\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n 505→\t}\n 506→\n 507→\t// Run server with context\n 508→\tctx, cancel := context.WithCancel(context.Background())\n 509→\tdefer cancel()\n 510→\n 511→\treturn runServer(ctx)\n 512→}\n 513→\n 514→func main() {\n 515→\tif err := run(); err != nil {\n 516→\t\tcclog.Error(err.Error())\n 517→\t\tos.Exit(1)\n 518→\t}\n 519→}\n 520→"}]},"uuid":"67379768-f4d4-462b-9648-2d58146b31c6","timestamp":"2026-03-11T05:09:38.608Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.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 main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\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/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _ _ ____ _ _ _\n/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles: strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. Load environment variables from .env file (contains sensitive configuration)\n\t// 2. Load configuration from config.json (may reference environment variables)\n\t// 3. Handle database migration commands if requested\n\t// 4. Initialize database connection (requires config for connection string)\n\t// 5. Handle user commands if requested (requires database and authentication config)\n\t// 6. Initialize subsystems like archive and metrics (require config and database)\n\n\t// Load environment and configuration\n\tif err := loadEnvironment(); err != nil {\n\t\treturn err\n\t}\n\n\tif err := initConfiguration(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle database migration (migrate, revert, force)\n\tif err := handleDatabaseCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize database\n\tif err := initDatabase(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle user commands (add, delete, sync, JWT)\n\tif err := handleUserCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems (archive, metrics, taggers)\n\tif err := initSubsystems(); err != nil {\n\t\treturn err\n\t}\n\n\t// Exit if start server is not requested\n\tif !flagServer {\n\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n\t}\n\n\t// Run server with context\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","numLines":520,"startLine":1,"totalLines":520}},"sourceToolAssistantUUID":"2a4f23a0-b455-4286-9166-3ab6e9722010"} +{"parentUuid":"67379768-f4d4-462b-9648-2d58146b31c6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EVNd8o3wtrGrf65sTpQfff","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EuMBCkYICxgCKkAJFFjdHLKxjbb2lXo04/IPn8d4F/TwLsqb/fa5bgNV09/FWibUsgYVs5kCIe9hrCvZx/RP1y34nlYi1/Z1X5LZEgxIw6CuMEw1vUU6N9UaDAixEeAlvVryD+XjXSIw/PssP8ro0AscMpFk0y7yoDsBlw6LJsWBohoaHJE9unPOWw9HQX2wIHwDzayWAKl0Kksv/n5/KY9sRh3qKUEYYjw7gA++TDVEDA/bOXf2JR/fJfU4C8djpap+m+/sBbkMlRguZxNoOfyoYgWAThwh6t1IPy8P9+FPa8amTmYYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14336,"cache_read_input_tokens":17843,"cache_creation":{"ephemeral_5m_input_tokens":14336,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUqpvrTNDZQyk1fynn","type":"assistant","uuid":"bce34887-5cbd-4296-ba1e-9faaa9720651","timestamp":"2026-03-11T05:09:41.265Z"} +{"parentUuid":"bce34887-5cbd-4296-ba1e-9faaa9720651","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EVNd8o3wtrGrf65sTpQfff","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the full picture. Let me implement all the changes.\n\n### 1. Add SQLite memory fields to `RepositoryConfig`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14336,"cache_read_input_tokens":17843,"cache_creation":{"ephemeral_5m_input_tokens":14336,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviUqpvrTNDZQyk1fynn","type":"assistant","uuid":"55fa9485-15f7-4d7f-8b21-256509581ff4","timestamp":"2026-03-11T05:09:42.229Z"} +{"parentUuid":"55fa9485-15f7-4d7f-8b21-256509581ff4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EVNd8o3wtrGrf65sTpQfff","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Dp7KB85jTGn63J2pe9xK1M","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","old_string":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}","new_string":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14336,"cache_read_input_tokens":17843,"output_tokens":476,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":14336},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviUqpvrTNDZQyk1fynn","type":"assistant","uuid":"c6a81b26-6db8-4d67-a435-94d08db89be3","timestamp":"2026-03-11T05:09:49.146Z"} +{"type":"file-history-snapshot","messageId":"c6a81b26-6db8-4d67-a435-94d08db89be3","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"c6a81b26-6db8-4d67-a435-94d08db89be3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Dp7KB85jTGn63J2pe9xK1M","toolUseID":"toolu_01Dp7KB85jTGn63J2pe9xK1M","timestamp":"2026-03-11T05:09:49.158Z","uuid":"4f76385a-ae50-45d2-80d9-878b6ac4c0b4"} +{"parentUuid":"c6a81b26-6db8-4d67-a435-94d08db89be3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dp7KB85jTGn63J2pe9xK1M","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/config.go has been updated successfully."}]},"uuid":"341dd7bf-62d9-4c80-9277-4531c4215822","timestamp":"2026-03-11T05:09:49.157Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","oldString":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}","newString":"\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\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 repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":34,"oldLines":6,"newStart":34,"newLines":18,"lines":[" // considered in \"running jobs\" queries. This filters out very short jobs."," // Default: 600 seconds (10 minutes)"," MinRunningJobDuration int","+","+ // DbCacheSizeMB is the SQLite page cache size per connection in MB.","+ // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4","+ // and DbCacheSizeMB=2048, total page cache is up to 8GB.","+ // Default: 2048 (2GB)","+ DbCacheSizeMB int","+","+ // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.","+ // SQLite will try to release cache pages to stay under this limit.","+ // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.","+ // Default: 16384 (16GB)","+ DbSoftHeapLimitMB int"," }"," "," // DefaultConfig returns the default repository configuration."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c6a81b26-6db8-4d67-a435-94d08db89be3"} +{"parentUuid":"341dd7bf-62d9-4c80-9277-4531c4215822","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0165oTdGnkE16WHEBxZsx1wc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0119uodKtHtwVTve5gBoA8bg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","old_string":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}","new_string":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":534,"cache_read_input_tokens":32179,"output_tokens":190,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":534},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviVcw4tWpSLZJJzMzHT","type":"assistant","uuid":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50","timestamp":"2026-03-11T05:09:52.599Z"} +{"parentUuid":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_0119uodKtHtwVTve5gBoA8bg","toolUseID":"toolu_0119uodKtHtwVTve5gBoA8bg","timestamp":"2026-03-11T05:09:52.622Z","uuid":"4cea01dc-95f0-4904-86eb-77a386d29e0c"} +{"parentUuid":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0119uodKtHtwVTve5gBoA8bg","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/config.go has been updated successfully."}]},"uuid":"1b143a3c-c4ea-43e4-9d0d-8366208fe4ac","timestamp":"2026-03-11T05:09:52.622Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go","oldString":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}","newString":"\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\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.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":57,"oldLines":7,"newStart":57,"newLines":9,"lines":[" MaxIdleConnections: 4,"," ConnectionMaxLifetime: time.Hour,"," ConnectionMaxIdleTime: 10 * time.Minute,","- MinRunningJobDuration: 600, // 10 minutes","+ MinRunningJobDuration: 600, // 10 minutes","+ DbCacheSizeMB: 2048, // 2GB per connection","+ DbSoftHeapLimitMB: 16384, // 16GB process-wide"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4cebc0b1-ef56-440c-ae0b-8bc5a8325e50"} +{"parentUuid":"1b143a3c-c4ea-43e4-9d0d-8366208fe4ac","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01541pte8UUk3XpjEpo7wsXQ","type":"message","role":"assistant","content":[{"type":"text","text":"### 2. Use config values in `Connect()` and `setupSqlite()`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":248,"cache_read_input_tokens":32713,"cache_creation":{"ephemeral_5m_input_tokens":248,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviVsn2uqLyjW9eA6zbh","type":"assistant","uuid":"24724709-3d0e-4de9-8c40-4efc2dc88af0","timestamp":"2026-03-11T05:09:54.951Z"} +{"parentUuid":"24724709-3d0e-4de9-8c40-4efc2dc88af0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01541pte8UUk3XpjEpo7wsXQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}","new_string":"func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":248,"cache_read_input_tokens":32713,"output_tokens":294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":248},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviVsn2uqLyjW9eA6zbh","type":"assistant","uuid":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","timestamp":"2026-03-11T05:09:57.467Z"} +{"type":"file-history-snapshot","messageId":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","toolUseID":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","timestamp":"2026-03-11T05:09:57.481Z","uuid":"3f4dbb31-ff74-405c-8402-e1dbcc65df4e"} +{"parentUuid":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T4Bhha4TsJiU1Z2DfY3Exq","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"79f61f09-a373-4fcf-bec9-7e54fc0a433f","timestamp":"2026-03-11T05:09:57.481Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}","newString":"func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\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.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\t\"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":36,"oldLines":10,"newStart":36,"newLines":10,"lines":[" ConnectionMaxIdleTime time.Duration"," }"," ","-func setupSqlite(db *sql.DB) error {","+func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {"," pragmas := []string{"," \"temp_store = memory\",","- \"soft_heap_limit = 1073741824\", // 1GB process-wide soft limit; SQLite evicts cache pages to stay under","+ fmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),"," }"," "," for _, pragma := range pragmas {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b3770c9c-395a-42dc-9fdf-ac1ca4187a28"} +{"parentUuid":"79f61f09-a373-4fcf-bec9-7e54fc0a433f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017UR1brUKDBntwuzVx27wJ4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GfY7MxobUNib3iyXP3hUV1","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","new_string":"\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":445,"cache_read_input_tokens":32961,"output_tokens":216,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":445},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviWEbBAo2B9nRMPLZK6","type":"assistant","uuid":"d0471ebe-9947-41c3-bd6f-109daf7d7709","timestamp":"2026-03-11T05:10:02.428Z"} +{"parentUuid":"d0471ebe-9947-41c3-bd6f-109daf7d7709","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GfY7MxobUNib3iyXP3hUV1","toolUseID":"toolu_01GfY7MxobUNib3iyXP3hUV1","timestamp":"2026-03-11T05:10:02.448Z","uuid":"9479a409-a702-499b-9ddb-471055ac6e2a"} +{"parentUuid":"d0471ebe-9947-41c3-bd6f-109daf7d7709","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GfY7MxobUNib3iyXP3hUV1","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"9a990485-eaf6-4414-a2b3-b416649ea6ce","timestamp":"2026-03-11T05:10:02.448Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","newString":"\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))","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 repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":80,"oldLines":7,"newStart":80,"newLines":8,"lines":[" connectionURLParams.Add(\"_journal_mode\", \"WAL\")"," connectionURLParams.Add(\"_busy_timeout\", \"5000\")"," connectionURLParams.Add(\"_synchronous\", \"NORMAL\")","- connectionURLParams.Add(\"_cache_size\", \"-200000\") // 200MB per connection (negative = KiB)","+ cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB","+ connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"," connectionURLParams.Add(\"_foreign_keys\", \"true\")"," opts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d0471ebe-9947-41c3-bd6f-109daf7d7709"} +{"parentUuid":"9a990485-eaf6-4414-a2b3-b416649ea6ce","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016zxFvFtKYZDCBE4JJkGG23","type":"message","role":"assistant","content":[{"type":"text","text":"Now fix the call site and add the startup log:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":348,"cache_read_input_tokens":33406,"cache_creation":{"ephemeral_5m_input_tokens":348,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviWbmQ5FKKkjj7jYLuG","type":"assistant","uuid":"4bb1c280-d5f2-4565-a8d5-3621c9fc7746","timestamp":"2026-03-11T05:10:04.782Z"} +{"parentUuid":"4bb1c280-d5f2-4565-a8d5-3621c9fc7746","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016zxFvFtKYZDCBE4JJkGG23","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AbXzGcbbcHChPbdSMj9qEg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)","new_string":"\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":348,"cache_read_input_tokens":33406,"output_tokens":356,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":348},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviWbmQ5FKKkjj7jYLuG","type":"assistant","uuid":"e1427948-99a9-45c6-b1c2-aab12076025c","timestamp":"2026-03-11T05:10:08.487Z"} +{"parentUuid":"e1427948-99a9-45c6-b1c2-aab12076025c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01AbXzGcbbcHChPbdSMj9qEg","toolUseID":"toolu_01AbXzGcbbcHChPbdSMj9qEg","timestamp":"2026-03-11T05:10:08.503Z","uuid":"0fe03982-ac5c-4d00-abc8-069cfc9ec033"} +{"parentUuid":"e1427948-99a9-45c6-b1c2-aab12076025c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AbXzGcbbcHChPbdSMj9qEg","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"85064a13-f2e7-4069-a70d-062c1cf47ba8","timestamp":"2026-03-11T05:10:08.503Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)","newString":"\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)","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 repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":96,"oldLines":11,"newStart":96,"newLines":14,"lines":[" cclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())"," }"," ","- err = setupSqlite(dbHandle.DB)","+ err = setupSqlite(dbHandle.DB, repoConfig)"," if err != nil {"," cclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())"," }"," ","+ cclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",","+ repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)","+"," dbHandle.SetMaxOpenConns(opts.MaxOpenConnections)"," dbHandle.SetMaxIdleConns(opts.MaxIdleConnections)"," dbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e1427948-99a9-45c6-b1c2-aab12076025c"} +{"parentUuid":"85064a13-f2e7-4069-a70d-062c1cf47ba8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MLSMyHPDtfwa7JGvnuZqr1","type":"message","role":"assistant","content":[{"type":"text","text":"The diagnostic is stale — the edit already fixed it. Let me check if there's another call to `setupSqlite`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":488,"cache_read_input_tokens":33754,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviX3ePXFERXcFqL7oQe","type":"assistant","uuid":"5ba7046c-bc6c-4c19-b845-1b6c50e36dad","timestamp":"2026-03-11T05:10:11.640Z"} +{"parentUuid":"5ba7046c-bc6c-4c19-b845-1b6c50e36dad","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MLSMyHPDtfwa7JGvnuZqr1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VdNvgRKof5ytPfgWPNY2rD","name":"Grep","input":{"pattern":"setupSqlite","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":488,"cache_read_input_tokens":33754,"output_tokens":102,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":488},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviX3ePXFERXcFqL7oQe","type":"assistant","uuid":"e4db6fcb-6bf0-4e50-be00-fd15e2002564","timestamp":"2026-03-11T05:10:11.907Z"} +{"parentUuid":"e4db6fcb-6bf0-4e50-be00-fd15e2002564","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01VdNvgRKof5ytPfgWPNY2rD","toolUseID":"toolu_01VdNvgRKof5ytPfgWPNY2rD","timestamp":"2026-03-11T05:10:11.938Z","uuid":"2afbb09b-ec96-426e-bdd0-049e712f332e"} +{"parentUuid":"e4db6fcb-6bf0-4e50-be00-fd15e2002564","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VdNvgRKof5ytPfgWPNY2rD","type":"tool_result","content":"2026-03-11-054732-implement-the-following-plan.txt:28:│ The ANALYZE fix (already added to setupSqlite in dbConnection.go) resolves │\ninternal/repository/dbConnection.go:39:func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\ninternal/repository/dbConnection.go:99:\t\terr = setupSqlite(dbHandle.DB, repoConfig)"}]},"uuid":"e32aa535-2a52-42f2-b098-b12a87884cc1","timestamp":"2026-03-11T05:10:11.938Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"2026-03-11-054732-implement-the-following-plan.txt:28:│ The ANALYZE fix (already added to setupSqlite in dbConnection.go) resolves │\ninternal/repository/dbConnection.go:39:func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\ninternal/repository/dbConnection.go:99:\t\terr = setupSqlite(dbHandle.DB, repoConfig)","numLines":3},"sourceToolAssistantUUID":"e4db6fcb-6bf0-4e50-be00-fd15e2002564"} +{"parentUuid":"e32aa535-2a52-42f2-b098-b12a87884cc1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016CadUZBojJAQSb5fPqRrPS","type":"message","role":"assistant","content":[{"type":"text","text":"Good, only one call site.\n\n### 3. Add `DbConfig` struct to `ProgramConfig`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":221,"cache_read_input_tokens":34242,"cache_creation":{"ephemeral_5m_input_tokens":221,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviXJKSePruaYAJ1XWeo","type":"assistant","uuid":"624b73a0-5ace-4ae2-a667-ab2987574eef","timestamp":"2026-03-11T05:10:15.074Z"} +{"parentUuid":"624b73a0-5ace-4ae2-a667-ab2987574eef","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016CadUZBojJAQSb5fPqRrPS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/config.go","old_string":"\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n}","new_string":"\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}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":221,"cache_read_input_tokens":34242,"output_tokens":332,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":221},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviXJKSePruaYAJ1XWeo","type":"assistant","uuid":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","timestamp":"2026-03-11T05:10:18.897Z"} +{"type":"file-history-snapshot","messageId":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"},"internal/config/config.go":{"backupFileName":"3ea06adf552863be@v1","version":1,"backupTime":"2026-03-11T05:10:18.917Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","toolUseID":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","timestamp":"2026-03-11T05:10:18.920Z","uuid":"8eaa6738-5315-4f59-a008-87dd3458d0b8"} +{"parentUuid":"cd8891de-0b03-4664-8d24-d7e2e4db7d63","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NvJCQxbdgKEgyTCbwZ7NNJ","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/config/config.go has been updated successfully."}]},"uuid":"05c31f0e-fe85-40a6-852c-4e4615eb0a57","timestamp":"2026-03-11T05:10:18.919Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/config/config.go","oldString":"\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n}","newString":"\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}","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\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}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\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":77,"oldLines":8,"newStart":77,"newLines":19,"lines":[" "," // Node state retention configuration"," NodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`","+","+ // Database tuning configuration","+ DbConfig *DbConfig `json:\"db-config\"`"," }"," ","+type DbConfig struct {","+ CacheSizeMB int `json:\"cache-size-mb\"`","+ SoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`","+ MaxOpenConnections int `json:\"max-open-connections\"`","+ MaxIdleConnections int `json:\"max-idle-connections\"`","+ ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+}","+"," type NodeStateRetention struct {"," Policy string `json:\"policy\"` // \"delete\" or \"move\""," Age int `json:\"age\"` // hours, default 24"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"cd8891de-0b03-4664-8d24-d7e2e4db7d63"} +{"parentUuid":"05c31f0e-fe85-40a6-852c-4e4615eb0a57","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GKz71dNTEeTyhDfa6LiHzj","type":"message","role":"assistant","content":[{"type":"text","text":"### 4. Add JSON schema section for `db-config`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":371,"cache_read_input_tokens":34463,"cache_creation":{"ephemeral_5m_input_tokens":371,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviXpFG3PjKjg4KFheSv","type":"assistant","uuid":"34d15b77-5ab6-42a8-a162-b83a16fc22a6","timestamp":"2026-03-11T05:10:21.273Z"} +{"parentUuid":"34d15b77-5ab6-42a8-a162-b83a16fc22a6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01GKz71dNTEeTyhDfa6LiHzj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go","old_string":" \"required\": [\"policy\"]\n }\n }\n}`","new_string":" \"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 }\n }\n }\n}`"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":371,"cache_read_input_tokens":34463,"output_tokens":429,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":371},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviXpFG3PjKjg4KFheSv","type":"assistant","uuid":"a527924f-5731-4523-8b85-064945a74e96","timestamp":"2026-03-11T05:10:30.000Z"} +{"type":"file-history-snapshot","messageId":"a527924f-5731-4523-8b85-064945a74e96","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"},"internal/config/config.go":{"backupFileName":"3ea06adf552863be@v1","version":1,"backupTime":"2026-03-11T05:10:18.917Z"},"internal/config/schema.go":{"backupFileName":"fde22c5208688a69@v1","version":1,"backupTime":"2026-03-11T05:10:30.010Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"a527924f-5731-4523-8b85-064945a74e96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","toolUseID":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","timestamp":"2026-03-11T05:10:30.012Z","uuid":"8005c85c-8c0b-431b-a0e2-8d3d4894e1e1"} +{"parentUuid":"a527924f-5731-4523-8b85-064945a74e96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M7KV3nYzAtAmsRhnqYeeJK","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/config/schema.go has been updated successfully."}]},"uuid":"c10e80bb-4571-4c58-bb32-7b9f23138fae","timestamp":"2026-03-11T05:10:30.012Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/config/schema.go","oldString":" \"required\": [\"policy\"]\n }\n }\n}`","newString":" \"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 }\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 },\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 }\n}`\n","structuredPatch":[{"oldStart":177,"oldLines":6,"newStart":177,"newLines":32,"lines":[" }"," },"," \"required\": [\"policy\"]","+ },","+ \"db-config\": {","+ \"description\": \"SQLite database tuning configuration.\",","+ \"type\": \"object\",","+ \"properties\": {","+ \"cache-size-mb\": {","+ \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",","+ \"type\": \"integer\"","+ },","+ \"soft-heap-limit-mb\": {","+ \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",","+ \"type\": \"integer\"","+ },","+ \"max-open-connections\": {","+ \"description\": \"Maximum number of open database connections (default: 4).\",","+ \"type\": \"integer\"","+ },","+ \"max-idle-connections\": {","+ \"description\": \"Maximum number of idle database connections (default: 4).\",","+ \"type\": \"integer\"","+ },","+ \"max-idle-time-minutes\": {","+ \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",","+ \"type\": \"integer\"","+ }","+ }"," }"," }"," }`"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a527924f-5731-4523-8b85-064945a74e96"} +{"parentUuid":"c10e80bb-4571-4c58-bb32-7b9f23138fae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01LuU5tXb5m6JFdkocLqSjnw","type":"message","role":"assistant","content":[{"type":"text","text":"### 5. Wire `SetConfig()` in `initDatabase()`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":468,"cache_read_input_tokens":34834,"cache_creation":{"ephemeral_5m_input_tokens":468,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviYdeZc61LJMHsxQY5C","type":"assistant","uuid":"498fb0e7-e36d-4ef6-9e92-5032d137a6a6","timestamp":"2026-03-11T05:10:37.756Z"} +{"type":"file-history-snapshot","messageId":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","snapshot":{"messageId":"62550838-b2ab-4b82-8144-d30034cc5aee","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v1","version":1,"backupTime":"2026-03-11T05:09:49.156Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T05:09:57.479Z"},"internal/config/config.go":{"backupFileName":"3ea06adf552863be@v1","version":1,"backupTime":"2026-03-11T05:10:18.917Z"},"internal/config/schema.go":{"backupFileName":"fde22c5208688a69@v1","version":1,"backupTime":"2026-03-11T05:10:30.010Z"},"cmd/cc-backend/main.go":{"backupFileName":"889aaad0c32aaf70@v1","version":1,"backupTime":"2026-03-11T05:10:41.244Z"}},"timestamp":"2026-03-11T05:09:33.924Z"},"isSnapshotUpdate":true} +{"parentUuid":"498fb0e7-e36d-4ef6-9e92-5032d137a6a6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01LuU5tXb5m6JFdkocLqSjnw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRYXihPx87mPzwSwyxyn55","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go","old_string":"func initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}","new_string":"func initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":468,"cache_read_input_tokens":34834,"output_tokens":436,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":468},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviYdeZc61LJMHsxQY5C","type":"assistant","uuid":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","timestamp":"2026-03-11T05:10:41.220Z"} +{"parentUuid":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01QRYXihPx87mPzwSwyxyn55","toolUseID":"toolu_01QRYXihPx87mPzwSwyxyn55","timestamp":"2026-03-11T05:10:41.249Z","uuid":"ebfd8324-17d8-4ca0-84d2-969507622416"} +{"parentUuid":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QRYXihPx87mPzwSwyxyn55","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go has been updated successfully."}]},"uuid":"1aca7c34-8e15-4c90-8968-5bf15be82d89","timestamp":"2026-03-11T05:10:41.249Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/cmd/cc-backend/main.go","oldString":"func initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}","newString":"func initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\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 main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\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/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _ _ ____ _ _ _\n/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles: strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. Load environment variables from .env file (contains sensitive configuration)\n\t// 2. Load configuration from config.json (may reference environment variables)\n\t// 3. Handle database migration commands if requested\n\t// 4. Initialize database connection (requires config for connection string)\n\t// 5. Handle user commands if requested (requires database and authentication config)\n\t// 6. Initialize subsystems like archive and metrics (require config and database)\n\n\t// Load environment and configuration\n\tif err := loadEnvironment(); err != nil {\n\t\treturn err\n\t}\n\n\tif err := initConfiguration(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle database migration (migrate, revert, force)\n\tif err := handleDatabaseCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize database\n\tif err := initDatabase(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle user commands (add, delete, sync, JWT)\n\tif err := handleUserCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems (archive, metrics, taggers)\n\tif err := initSubsystems(); err != nil {\n\t\treturn err\n\t}\n\n\t// Exit if start server is not requested\n\tif !flagServer {\n\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n\t}\n\n\t// Run server with context\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","structuredPatch":[{"oldStart":108,"oldLines":6,"newStart":108,"newLines":26,"lines":[" }"," "," func initDatabase() error {","+ if config.Keys.DbConfig != nil {","+ cfg := repository.DefaultConfig()","+ dc := config.Keys.DbConfig","+ if dc.CacheSizeMB > 0 {","+ cfg.DbCacheSizeMB = dc.CacheSizeMB","+ }","+ if dc.SoftHeapLimitMB > 0 {","+ cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB","+ }","+ if dc.MaxOpenConnections > 0 {","+ cfg.MaxOpenConnections = dc.MaxOpenConnections","+ }","+ if dc.MaxIdleConnections > 0 {","+ cfg.MaxIdleConnections = dc.MaxIdleConnections","+ }","+ if dc.ConnectionMaxIdleTimeMins > 0 {","+ cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute","+ }","+ repository.SetConfig(cfg)","+ }"," repository.Connect(config.Keys.DB)"," return nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"33ffa3b6-ba90-46c9-a5ec-3e73efb31c29"} +{"parentUuid":"1aca7c34-8e15-4c90-8968-5bf15be82d89","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XYdmFeoGjQAJzhtYWCyGd7","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it builds:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":588,"cache_read_input_tokens":35302,"cache_creation":{"ephemeral_5m_input_tokens":588,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYviZTgoydkWgFopZJKvF","type":"assistant","uuid":"159411cb-7567-4996-a9a2-c42e61e658b3","timestamp":"2026-03-11T05:10:43.694Z"} +{"parentUuid":"159411cb-7567-4996-a9a2-c42e61e658b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XYdmFeoGjQAJzhtYWCyGd7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CRTt2WD1JG6XvKAJchvVEL","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":588,"cache_read_input_tokens":35302,"output_tokens":114,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":588},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviZTgoydkWgFopZJKvF","type":"assistant","uuid":"19478eae-1bd2-4cc0-8bda-c82a6182f794","timestamp":"2026-03-11T05:10:44.092Z"} +{"parentUuid":"19478eae-1bd2-4cc0-8bda-c82a6182f794","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CRTt2WD1JG6XvKAJchvVEL","type":"tool_result","content":"","is_error":false}]},"uuid":"a6ae44f4-661b-4729-a5a0-a3a36ef71a18","timestamp":"2026-03-11T05:10:49.893Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"19478eae-1bd2-4cc0-8bda-c82a6182f794"} +{"parentUuid":"a6ae44f4-661b-4729-a5a0-a3a36ef71a18","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015bpPdskSd8PwD5VY4KPwnK","type":"message","role":"assistant","content":[{"type":"text","text":"Let me run the relevant tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":35890,"cache_creation":{"ephemeral_5m_input_tokens":125,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvia6d4fLA3585sP29BR","type":"assistant","uuid":"db20fdfe-fbba-4825-b3a8-31fdd45e3221","timestamp":"2026-03-11T05:10:51.763Z"} +{"parentUuid":"db20fdfe-fbba-4825-b3a8-31fdd45e3221","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015bpPdskSd8PwD5VY4KPwnK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A1CKjDUxDjH19X6ko18HmJ","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/config/...","description":"Run repository and config tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":35890,"cache_creation":{"ephemeral_5m_input_tokens":125,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvia6d4fLA3585sP29BR","type":"assistant","uuid":"98d16b1f-9145-422c-a84d-97c84a6fe812","timestamp":"2026-03-11T05:10:52.840Z"} +{"parentUuid":"98d16b1f-9145-422c-a84d-97c84a6fe812","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A1CKjDUxDjH19X6ko18HmJ","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.326s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/config\t0.386s","is_error":false}]},"uuid":"81139830-33be-4ff5-ac06-7cf98854eb9d","timestamp":"2026-03-11T05:10:55.325Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.326s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/config\t0.386s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"98d16b1f-9145-422c-a84d-97c84a6fe812"} +{"parentUuid":"81139830-33be-4ff5-ac06-7cf98854eb9d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013UFTS1RYCzTZBDVTH3iyv5","type":"message","role":"assistant","content":[{"type":"text","text":"All builds and tests pass. Here's a summary of what was implemented:\n\n**`internal/repository/config.go`** — Added `DbCacheSizeMB` (default 2048MB) and `DbSoftHeapLimitMB` (default 16384MB) fields to `RepositoryConfig`.\n\n**`internal/repository/dbConnection.go`** — Replaced hardcoded `_cache_size=-200000` with config-driven value; changed `setupSqlite()` to accept config and use `DbSoftHeapLimitMB` for the soft heap limit; added startup log line showing effective SQLite settings.\n\n**`internal/config/config.go`** — Added `DbConfig` struct with JSON-tagged fields and a `DbConfig` pointer field on `ProgramConfig`.\n\n**`internal/config/schema.go`** — Added `\"db-config\"` JSON schema section for validation.\n\n**`cmd/cc-backend/main.go`** — Wired `repository.SetConfig()` in `initDatabase()`, applying any `db-config` overrides from config.json before connecting.\n\nWithout `db-config` in config.json, the new defaults (2GB cache/conn, 16GB soft heap) apply. With it, operators can tune all values:\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":174,"cache_read_input_tokens":36015,"output_tokens":382,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":174},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYviaVtYVMGnmWF9LNWzj","type":"assistant","uuid":"4f7970fc-a533-419d-aea6-dd62bf812eba","timestamp":"2026-03-11T05:11:04.929Z"} 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+{"parentUuid":"4fa492c6-aebf-4635-9bb6-bf9254422f71","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VvLoHMpPnxmix7fBCDMCn9","toolUseID":"toolu_01VvLoHMpPnxmix7fBCDMCn9","timestamp":"2026-03-11T05:19:20.847Z","uuid":"6ba14bb5-9b49-4e5f-aa5e-d1065cafe698"} +{"parentUuid":"4fa492c6-aebf-4635-9bb6-bf9254422f71","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VvLoHMpPnxmix7fBCDMCn9","type":"tool_result","content":" 1→# NOTE\n 2→\n 3→While we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\n 4→Please do not use it for production!\n 5→\n 6→Please have a look at the [Release\n 7→Notes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\n 8→for breaking changes!\n 9→\n 10→# ClusterCockpit REST and GraphQL API backend\n 11→\n 12→[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n 13→\n 14→This is a Golang backend implementation for a REST and GraphQL API according to\n 15→the [ClusterCockpit\n 16→specifications](https://github.com/ClusterCockpit/cc-specifications). It also\n 17→includes a web interface for ClusterCockpit. This implementation replaces the\n 18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n 19→switching from PHP Symfony to a Golang based solution are explained\n 20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n 21→\n 22→## Overview\n 23→\n 24→This is a Golang web backend for the ClusterCockpit job-specific performance\n 25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n 26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n 27→analysis scripts. Data exchange between the web front-end and the back-end is\n 28→based on a GraphQL API. The web frontend is also served by the backend using\n 29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n 30→[Bootstrap 5](https://getbootstrap.com/) using\n 31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n 32→\n 33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n 34→While there are metric data backends for the InfluxDB and Prometheus time series\n 35→databases, the only tested and supported setup is to use cc-metric-store as the\n 36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n 37→time series databases will be added in the future.\n 38→\n 39→For real-time integration with HPC systems, the backend can subscribe to\n 40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n 41→state updates, providing an alternative to REST API polling.\n 42→\n 43→Completed batch jobs are stored in a file-based job archive according to\n 44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n 45→The backend supports authentication via local accounts, an external LDAP\n 46→directory, and JWT tokens. Authorization for APIs is implemented with\n 47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n 48→\n 49→You find a detailed documentation on the [ClusterCockpit\n 50→Webpage](https://clustercockpit.org).\n 51→\n 52→## Build requirements\n 53→\n 54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n 55→You can check `go.mod` to see what is the current minimal golang version needed.\n 56→Homebrew and Archlinux usually have current golang versions. For other Linux\n 57→distros this often means that you have to install the golang compiler yourself.\n 58→Fortunately, this is easy with golang. Since much of the functionality is based\n 59→on the Go standard library, it is crucial for security and performance to use a\n 60→current version of golang. In addition, an old golang toolchain may limit the supported\n 61→versions of third-party packages.\n 62→\n 63→## How to try ClusterCockpit with a demo setup\n 64→\n 65→We provide a shell script that downloads demo data and automatically starts the\n 66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n 67→start the demo. The demo downloads 32MB of data (223MB on disk).\n 68→\n 69→```sh\n 70→git clone https://github.com/ClusterCockpit/cc-backend.git\n 71→cd ./cc-backend\n 72→./startDemo.sh\n 73→```\n 74→\n 75→You can also try the demo using the latest release binary.\n 76→Create a folder and put the release binary `cc-backend` into this folder.\n 77→Execute the following steps:\n 78→\n 79→```shell\n 80→./cc-backend -init\n 81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n 82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n 83→tar xf job-archive-demo.tar\n 84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n 85→./cc-backend -server -dev -loglevel info\n 86→```\n 87→\n 88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n 89→Credentials for login are `demo:demo`.\n 90→Please note that some views do not work without a metric backend (e.g., the\n 91→Analysis, Systems and Status views).\n 92→\n 93→## How to build and run\n 94→\n 95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n 96→the following targets:\n 97→\n 98→- `make`: Initialize `var` directory and build svelte frontend and backend\n 99→ binary. Note that there is no proper prerequisite handling. Any change of\n 100→ frontend source files will result in a complete rebuild.\n 101→- `make clean`: Clean go build cache and remove binary.\n 102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n 103→\n 104→A common workflow for setting up cc-backend from scratch is:\n 105→\n 106→```sh\n 107→git clone https://github.com/ClusterCockpit/cc-backend.git\n 108→\n 109→# Build binary\n 110→cd ./cc-backend/\n 111→make\n 112→\n 113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n 114→# If authentication is disabled, it can be empty.\n 115→cp configs/env-template.txt .env\n 116→vim .env\n 117→\n 118→cp configs/config.json .\n 119→vim config.json\n 120→\n 121→#Optional: Link an existing job archive:\n 122→ln -s ./var/job-archive\n 123→\n 124→# This will first initialize the job.db database by traversing all\n 125→# `meta.json` files in the job-archive and add a new user.\n 126→./cc-backend -init-db -add-user :admin:\n 127→\n 128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n 129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n 130→./cc-backend -server -dev\n 131→\n 132→# Show other options:\n 133→./cc-backend -help\n 134→```\n 135→\n 136→## Project file structure\n 137→\n 138→- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n 139→ GitHub Actions workflows and dependabot configuration for CI/CD.\n 140→- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n 141→ contains the API schema files for the REST and GraphQL APIs. The REST API is\n 142→ documented in the OpenAPI 3.0 format in\n 143→ [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n 144→ [./api/schema.graphqls](./api/schema.graphqls).\n 145→- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n 146→ contains the main application entry point and CLI implementation.\n 147→- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n 148→ contains documentation about configuration and command line options and required\n 149→ environment variables. Sample configuration files are provided.\n 150→- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n 151→ contains an example of setting up systemd for production use.\n 152→- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n 153→ contains library source code that is not intended for use by others.\n 154→ - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n 155→ REST API handlers and NATS integration\n 156→ - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n 157→ Job archiving functionality\n 158→ - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n 159→ Authentication (local, LDAP, OIDC) and JWT token handling\n 160→ - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n 161→ Configuration management and validation\n 162→ - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n 163→ GraphQL schema and resolvers\n 164→ - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n 165→ Job data import and database initialization\n 166→ - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n 167→ Dispatches metric data loading to appropriate backends\n 168→ - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n 169→ Database repository layer for jobs and metadata\n 170→ - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n 171→ HTTP router configuration and middleware\n 172→ - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n 173→ Job classification and application detection\n 174→ - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n 175→ Background task management and scheduled jobs\n 176→ - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n 177→ Client for cc-metric-store queries\n 178→- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n 179→ contains Go packages that can be used by other projects.\n 180→ - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n 181→ Job archive backend implementations (filesystem, S3, SQLite)\n 182→ - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n 183→ In-memory metric data store with checkpointing and metric loading\n 184→- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n 185→ Additional command line helper tools.\n 186→ - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n 187→ Commands for getting infos about an existing job archive, importing jobs\n 188→ between archive backends, and converting archives between JSON and Parquet formats.\n 189→ - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n 190→ Tool for migrating job archives between formats.\n 191→ - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n 192→ Tool to convert external pubkey for use in `cc-backend`.\n 193→ - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n 194→ contains a small application to generate a compatible JWT keypair. You find\n 195→ documentation on how to use it\n 196→ [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n 197→- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n 198→ Server-side templates and frontend-related files:\n 199→ - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n 200→ Svelte components and static assets for the frontend UI\n 201→ - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n 202→ Server-side Go templates, including monitoring views\n 203→- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n 204→ Configures the behaviour and generation of\n 205→ [gqlgen](https://github.com/99designs/gqlgen).\n 206→- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n 207→ is a shell script that sets up demo data, and builds and starts `cc-backend`.\n 208→"}]},"uuid":"bf869595-791b-44be-a45b-db13d32dda80","timestamp":"2026-03-11T05:19:20.846Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/README.md","content":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","numLines":208,"startLine":1,"totalLines":208}},"sourceToolAssistantUUID":"4fa492c6-aebf-4635-9bb6-bf9254422f71"} +{"parentUuid":"bf869595-791b-44be-a45b-db13d32dda80","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019prXzK5tkgyHoyBZESQNiD","type":"message","role":"assistant","content":[{"type":"text","text":"I'll add the database configuration section after the \"How to build and run\" section, before \"Project file structure\":"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3885,"cache_read_input_tokens":36645,"cache_creation":{"ephemeral_5m_input_tokens":3885,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvjDmRDSLbYSAHrHHxSY","type":"assistant","uuid":"55c0fff9-38d9-411e-a823-9a3deec167b3","timestamp":"2026-03-11T05:19:23.887Z"} +{"type":"file-history-snapshot","messageId":"86eef6d0-5109-4b5a-b1d9-25ec00ebcda7","snapshot":{"messageId":"b443152d-2c4d-4987-ad7c-1ce1418e2943","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"8d09a7d81a4813eb@v2","version":2,"backupTime":"2026-03-11T05:19:17.312Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v2","version":2,"backupTime":"2026-03-11T05:19:17.312Z"},"internal/config/config.go":{"backupFileName":"3ea06adf552863be@v2","version":2,"backupTime":"2026-03-11T05:19:17.312Z"},"internal/config/schema.go":{"backupFileName":"fde22c5208688a69@v2","version":2,"backupTime":"2026-03-11T05:19:17.312Z"},"cmd/cc-backend/main.go":{"backupFileName":"889aaad0c32aaf70@v2","version":2,"backupTime":"2026-03-11T05:19:17.313Z"},"README.md":{"backupFileName":"a1f5692629022557@v1","version":1,"backupTime":"2026-03-11T05:19:37.864Z"}},"timestamp":"2026-03-11T05:19:17.311Z"},"isSnapshotUpdate":true} +{"parentUuid":"55c0fff9-38d9-411e-a823-9a3deec167b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019prXzK5tkgyHoyBZESQNiD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LTexZwH81Mphxt8TdJpPYV","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/README.md","old_string":"## Project file structure","new_string":"## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n|--------|---------|-------------|\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection.\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3885,"cache_read_input_tokens":36645,"output_tokens":843,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3885},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvjDmRDSLbYSAHrHHxSY","type":"assistant","uuid":"86eef6d0-5109-4b5a-b1d9-25ec00ebcda7","timestamp":"2026-03-11T05:19:37.854Z"} +{"parentUuid":"86eef6d0-5109-4b5a-b1d9-25ec00ebcda7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01LTexZwH81Mphxt8TdJpPYV","toolUseID":"toolu_01LTexZwH81Mphxt8TdJpPYV","timestamp":"2026-03-11T05:19:37.867Z","uuid":"0f17c1e9-3e53-466d-ad9b-6ea5c6e464c2"} +{"parentUuid":"86eef6d0-5109-4b5a-b1d9-25ec00ebcda7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LTexZwH81Mphxt8TdJpPYV","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/README.md has been updated successfully."}]},"uuid":"efbd50c2-97bf-4212-aed1-6c1fe61e6717","timestamp":"2026-03-11T05:19:37.866Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/README.md","oldString":"## Project file structure","newString":"## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n|--------|---------|-------------|\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection.\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":133,"oldLines":6,"newStart":133,"newLines":71,"lines":[" ./cc-backend -help"," ```"," ","+## Database Configuration","+","+cc-backend uses SQLite as its database. For large installations, SQLite memory","+usage can be tuned via the optional `db-config` section in config.json under","+`main`:","+","+```json","+{","+ \"main\": {","+ \"db\": \"./var/job.db\",","+ \"db-config\": {","+ \"cache-size-mb\": 2048,","+ \"soft-heap-limit-mb\": 16384,","+ \"max-open-connections\": 4,","+ \"max-idle-connections\": 4,","+ \"max-idle-time-minutes\": 10","+ }","+ }","+}","+```","+","+All fields are optional. If `db-config` is omitted entirely, built-in defaults","+are used.","+","+### Options","+","+| Option | Default | Description |","+|--------|---------|-------------|","+| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |","+| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |","+| `max-open-connections` | 4 | Maximum number of open database connections. |","+| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |","+| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |","+","+### Sizing Guidelines","+","+- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the","+ entire database to be cached in memory. For example, an 80GB database with 8","+ connections needs at least 10240 MB (10GB) per connection.","+- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to","+ avoid cache thrashing. This is the total SQLite memory budget for the process.","+- On small installations the defaults work well. On servers with large databases","+ (tens of GB) and plenty of RAM, increasing these values significantly improves","+ query performance by reducing disk I/O.","+","+### Example: Large Server (512GB RAM, 80GB database)","+","+```json","+{","+ \"main\": {","+ \"db-config\": {","+ \"cache-size-mb\": 16384,","+ \"soft-heap-limit-mb\": 131072,","+ \"max-open-connections\": 8,","+ \"max-idle-time-minutes\": 30","+ }","+ }","+}","+```","+","+This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)","+with a 128GB soft heap limit, using about 25% of available RAM.","+","+The effective configuration is logged at startup for verification.","+"," ## Project file structure"," "," - [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"86eef6d0-5109-4b5a-b1d9-25ec00ebcda7"} +{"parentUuid":"efbd50c2-97bf-4212-aed1-6c1fe61e6717","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"50b2b10a-1be0-441f-aafb-3c5828f0fcc9","version":"2.1.72","gitBranch":"optimize-db-indices","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017moVDjPMHY1sEcaZq2Spn8","type":"message","role":"assistant","content":[{"type":"text","text":"Done. 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The hardcoded defaults (200MB cache per connection, 1GB soft heap limit) are conservative. On the production server with 512GB RAM, these could be tuned higher for better query performance. Additionally, `RepositoryConfig` and `SetConfig()` exist but are **never wired up** — there's currently no way to override any repository defaults from config.json. + +## Current State (already implemented on this branch) + +- `_cache_size = -200000` (200MB per connection, hardcoded) — **too low for 80GB DB, will be made configurable** +- `soft_heap_limit = 1073741824` (1GB process-wide, hardcoded) — **too low, will be made configurable** +- `ConnectionMaxIdleTime = 10 * time.Minute` (hardcoded default) +- `MaxOpenConnections = 4` (hardcoded default) +- Context propagation to all query call sites (already done) + +## Problem + +`repository.SetConfig()` exists but is never called from `main.go`. The `initDatabase()` function (line 110) just calls `repository.Connect(config.Keys.DB)` directly. There's no `"db-config"` section in `ProgramConfig` or the JSON schema. + +## Proposed Changes + +### 1. Add SQLite memory fields to `RepositoryConfig` + +**File:** `internal/repository/config.go` + +Add two new fields with sensible defaults: + +```go +type RepositoryConfig struct { + // ... existing fields ... + + // DbCacheSizeMB is the SQLite page cache size per connection in MB. + // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4 + // and DbCacheSizeMB=200, total page cache is up to 800MB. + // Default: 200 (MB) + DbCacheSizeMB int + + // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB. + // SQLite will try to release cache pages to stay under this limit. + // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive. + // Default: 1024 (1GB) + DbSoftHeapLimitMB int +} +``` + +Update `DefaultConfig()`: +```go +DbCacheSizeMB: 2048, // 2GB per connection +DbSoftHeapLimitMB: 16384, // 16GB process-wide +``` + +**Rationale for defaults:** With an 80GB production database on a 512GB server, we want the cache to hold a significant portion of the DB. At 4 connections × 2GB = 8GB default page cache, plus 16GB soft heap limit. The previous 200MB/1GB hardcoded values were too conservative and would hurt query performance by forcing excessive cache eviction. These defaults use ~5% of a 512GB server — still safe for smaller machines, while enabling good performance on production. + +### 2. Use config values in `Connect()` and `setupSqlite()` + +**File:** `internal/repository/dbConnection.go` + +In `Connect()`, replace the hardcoded cache_size: +```go +cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB +connectionURLParams.Add("_cache_size", fmt.Sprintf("-%d", cacheSizeKiB)) +``` + +Change `setupSqlite()` to accept the config and use it for soft_heap_limit: +```go +func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error { + pragmas := []string{ + "temp_store = memory", + fmt.Sprintf("soft_heap_limit = %d", cfg.DbSoftHeapLimitMB*1024*1024), + } + // ... +} +``` + +Update the call site in `Connect()`: +```go +err = setupSqlite(dbHandle.DB, &opts) // was: setupSqlite(dbHandle.DB) +``` + +### 3. Add `"db-config"` section to `ProgramConfig` and JSON schema + +**File:** `internal/config/config.go` + +Add a new struct and field to `ProgramConfig`: + +```go +type DbConfig struct { + CacheSizeMB int `json:"cache-size-mb"` + SoftHeapLimitMB int `json:"soft-heap-limit-mb"` + MaxOpenConnections int `json:"max-open-connections"` + MaxIdleConnections int `json:"max-idle-connections"` + ConnectionMaxIdleTimeMins int `json:"max-idle-time-minutes"` +} + +type ProgramConfig struct { + // ... existing fields ... + DbConfig *DbConfig `json:"db-config"` +} +``` + +**File:** `internal/config/schema.go` + +Add the schema section for validation. + +### 4. Wire `SetConfig()` in `initDatabase()` + +**File:** `cmd/cc-backend/main.go` + +```go +func initDatabase() error { + if config.Keys.DbConfig != nil { + cfg := repository.DefaultConfig() + dc := config.Keys.DbConfig + if dc.CacheSizeMB > 0 { + cfg.DbCacheSizeMB = dc.CacheSizeMB + } + if dc.SoftHeapLimitMB > 0 { + cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB + } + if dc.MaxOpenConnections > 0 { + cfg.MaxOpenConnections = dc.MaxOpenConnections + } + if dc.MaxIdleConnections > 0 { + cfg.MaxIdleConnections = dc.MaxIdleConnections + } + if dc.ConnectionMaxIdleTimeMins > 0 { + cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute + } + repository.SetConfig(cfg) + } + repository.Connect(config.Keys.DB) + return nil +} +``` + +### 5. Log effective values on startup + +**File:** `internal/repository/dbConnection.go` + +After setting PRAGMAs, log the effective values so operators can verify: +```go +cclog.Infof("SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d", + repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections) +``` + +## Example config.json (for 512GB server with 80GB database) + +```json +{ + "main": { + "db": "./var/job.db", + "db-config": { + "cache-size-mb": 16384, + "soft-heap-limit-mb": 131072, + "max-open-connections": 8, + "max-idle-time-minutes": 30 + } + } +} +``` + +This would give: 8 connections × 16GB cache = 128GB max page cache, with a 128GB soft heap limit. The entire 80GB database can be cached in memory. On a 512GB server that's ~25% of RAM. + +**Sizing guidance (for documentation):** +- `cache-size-mb`: Set to `DB_size / max-open-connections` to allow the entire DB to be cached. E.g., 80GB DB with 8 connections → 10GB per connection minimum. +- `soft-heap-limit-mb`: Set to total desired SQLite memory budget. Should be ≥ `cache-size-mb × max-open-connections` to avoid cache thrashing. + +## Files to Modify + +| File | Changes | +|------|---------| +| `internal/repository/config.go` | Add `DbCacheSizeMB`, `DbSoftHeapLimitMB` fields + defaults | +| `internal/repository/dbConnection.go` | Use config values instead of hardcoded; pass config to `setupSqlite`; add startup log | +| `internal/config/config.go` | Add `DbConfig` struct and field to `ProgramConfig` | +| `internal/config/schema.go` | Add `"db-config"` JSON schema section | +| `cmd/cc-backend/main.go` | Wire `SetConfig()` in `initDatabase()` | + +## Verification + +1. `go build ./...` — compiles +2. `go test ./internal/repository/... ./internal/config/...` — tests pass +3. Without `db-config` in config.json: defaults apply (200MB cache, 1GB heap) — backwards compatible +4. With `db-config`: verify with `PRAGMA cache_size;` and `PRAGMA soft_heap_limit;` in sqlite3 CLI +5. Check startup log shows effective values + + +If 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-CC-cc-backend/520afa6a-6a70-437b-96c1-35c40ed3ec48.jsonl + +--- + +Also add a section in the README.md discussing and documenting the new db options. \ No newline at end of file diff --git a/15/26810bf9c1/metadata.json b/15/26810bf9c1/metadata.json new file mode 100644 index 00000000..c44a034a --- /dev/null +++ b/15/26810bf9c1/metadata.json @@ -0,0 +1,26 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "1526810bf9c1", + "strategy": "manual-commit", + "branch": "optimize-db-indices", + "checkpoints_count": 2, + "files_touched": [ + "README.md" + ], + "sessions": [ + { + "metadata": "/15/26810bf9c1/0/metadata.json", + "transcript": "/15/26810bf9c1/0/full.jsonl", + "context": "/15/26810bf9c1/0/context.md", + "content_hash": "/15/26810bf9c1/0/content_hash.txt", + "prompt": "/15/26810bf9c1/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 20, + "cache_creation_tokens": 60054, + "cache_read_tokens": 488339, + "output_tokens": 4643, + "api_call_count": 16 + } +}