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cc-backend/b9/5ef43221bb/0/full.jsonl
Jan Eitzinger 3bf53920f2 Checkpoint: b95ef43221bb 
Entire-Session: c8010cd5-db40-4104-813d-673a42ac9dbe
Entire-Strategy: manual-commit
Entire-Agent: Claude Code
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2026-03-19 11:04:32 +01:00

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{"parentUuid":"57929479-b46e-40e7-b5f5-1818d675ae32","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Fix Slow Project Stats Query\n\n## Context\n\nThe `/monitoring/projects/` page is significantly slower than `/monitoring/users/` despite using the same code path (`List.root.svelte`, same GraphQL query, same SQL structure). Both call `JobsStatsGrouped` via the `jobsStatistics` resolver.\n\n## Root Cause\n\n`WithStatsGroupCache` is injected into **every** GraphQL request context via `AroundOperations` in `cmd/cc-backend/server.go:96`. This means the cache path in the resolver is **always** taken for grouped stats queries.\n\nThe cache path calls:\n```go\nreturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n```\nwith `nil` for `reqFields`, which forces **all** SQL columns to be computed — including:\n```sql\nCOUNT(DISTINCT job.hpc_user) AS totalUsers\n```\n\nThis is the performance bottleneck:\n\n- **User grouping** (`GROUP BY hpc_user`): Each group has exactly 1 distinct `hpc_user` value → `COUNT(DISTINCT)` = trivially 1 per group → fast\n- **Project grouping** (`GROUP BY project`): Each project can have 10s–100s of distinct users across thousands of jobs → SQLite must maintain a hash set per group → expensive\n\nThe `List.root.svelte` frontend query does **not** request `totalUsers` for either page. It only requests: `id, name, totalJobs, shortJobs, totalWalltime, totalCoreHours, totalAccHours`. So `COUNT(DISTINCT hpc_user)` is computed for no reason, but is only costly for project grouping.\n\n**Why user page is fast**: `COUNT(DISTINCT hpc_user)` when grouping by `hpc_user` is trivially 1 per group — effectively O(1) per group.\n\n**Why project page is slow**: `COUNT(DISTINCT hpc_user)` when grouping by `project` requires deduplicating all users across potentially thousands of jobs per project.\n\n## What the Status Page Needs\n\n`StatusDash.svelte` requests `totalUsers` for `groupBy: SUBCLUSTER` — so `COUNT(DISTINCT hpc_user)` IS needed there. The fix must not break this.\n\n## Fix\n\nChange the cache path to pass the actual `reqFields` (derived from the GraphQL selection set) instead of `nil`, and include `reqFields` in the cache key so that identical requests still share cached results.\n\n### Files to Modify\n\n1. **`internal/graph/schema.resolvers.go`** (line ~678–688)\n - Pass `reqFields` instead of `nil` to `JobsStatsGrouped` in the cache path\n\n2. **`internal/graph/stats_cache.go`** (function `statsCacheKey`)\n - Include reqFields in the cache key so caching still deduplicates identical requests\n\n### Changes\n\n**`internal/graph/stats_cache.go`**:\n\nUpdate `statsCacheKey` to accept and include reqFields:\n```go\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n```\n\n**`internal/graph/schema.resolvers.go`**:\n\nChange the cache call from:\n```go\nkey := statsCacheKey(filter, groupBy)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n})\n```\nTo:\n```go\nkey := statsCacheKey(filter, groupBy, reqFields)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n})\n```\n\n## Why This Works\n\n- The project list query never requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is skipped → fast query\n- The user list query also never requests `totalUsers` → same benefit (marginal since the user `COUNT(DISTINCT)` is trivial)\n- The status page requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is computed → no regression\n- Cache deduplication still works: if two aliases in the same request have the same filter+groupBy+reqFields, they share the cached result\n\n## Critical Files\n\n- `internal/graph/schema.resolvers.go` — cache invocation (lines ~678–688)\n- `internal/graph/stats_cache.go` — `statsCacheKey` function (line 57–59)\n- `internal/repository/stats.go` — `buildStatsQuery` (lines 136–229, `need()` helper)\n\n## Verification\n\n1. Build: `go build ./...`\n2. Test: `go test ./internal/repository/... ./internal/graph/...`\n3. Start server: `./cc-backend -server -dev -loglevel debug`\n4. Load `/monitoring/projects/?cluster=alex&startTime=last30d` — check that it loads at similar speed to `/monitoring/users/`\n5. Check backend logs for `Timer JobsStatsGrouped call:` — project query should now be much faster\n6. Verify `/monitoring/status/` still shows correct `Active Users` counts per subcluster\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/258fc5cb-f8b6-4d74-92a9-df4954615c17.jsonl"},"uuid":"7c9c06ad-3241-4b89-b282-79d680032f38","timestamp":"2026-03-19T09:59:11.864Z","planContent":"# Plan: Fix Slow Project Stats Query\n\n## Context\n\nThe `/monitoring/projects/` page is significantly slower than `/monitoring/users/` despite using the same code path (`List.root.svelte`, same GraphQL query, same SQL structure). Both call `JobsStatsGrouped` via the `jobsStatistics` resolver.\n\n## Root Cause\n\n`WithStatsGroupCache` is injected into **every** GraphQL request context via `AroundOperations` in `cmd/cc-backend/server.go:96`. This means the cache path in the resolver is **always** taken for grouped stats queries.\n\nThe cache path calls:\n```go\nreturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n```\nwith `nil` for `reqFields`, which forces **all** SQL columns to be computed — including:\n```sql\nCOUNT(DISTINCT job.hpc_user) AS totalUsers\n```\n\nThis is the performance bottleneck:\n\n- **User grouping** (`GROUP BY hpc_user`): Each group has exactly 1 distinct `hpc_user` value → `COUNT(DISTINCT)` = trivially 1 per group → fast\n- **Project grouping** (`GROUP BY project`): Each project can have 10s–100s of distinct users across thousands of jobs → SQLite must maintain a hash set per group → expensive\n\nThe `List.root.svelte` frontend query does **not** request `totalUsers` for either page. It only requests: `id, name, totalJobs, shortJobs, totalWalltime, totalCoreHours, totalAccHours`. So `COUNT(DISTINCT hpc_user)` is computed for no reason, but is only costly for project grouping.\n\n**Why user page is fast**: `COUNT(DISTINCT hpc_user)` when grouping by `hpc_user` is trivially 1 per group — effectively O(1) per group.\n\n**Why project page is slow**: `COUNT(DISTINCT hpc_user)` when grouping by `project` requires deduplicating all users across potentially thousands of jobs per project.\n\n## What the Status Page Needs\n\n`StatusDash.svelte` requests `totalUsers` for `groupBy: SUBCLUSTER` — so `COUNT(DISTINCT hpc_user)` IS needed there. The fix must not break this.\n\n## Fix\n\nChange the cache path to pass the actual `reqFields` (derived from the GraphQL selection set) instead of `nil`, and include `reqFields` in the cache key so that identical requests still share cached results.\n\n### Files to Modify\n\n1. **`internal/graph/schema.resolvers.go`** (line ~678–688)\n - Pass `reqFields` instead of `nil` to `JobsStatsGrouped` in the cache path\n\n2. **`internal/graph/stats_cache.go`** (function `statsCacheKey`)\n - Include reqFields in the cache key so caching still deduplicates identical requests\n\n### Changes\n\n**`internal/graph/stats_cache.go`**:\n\nUpdate `statsCacheKey` to accept and include reqFields:\n```go\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\n}\n```\n\n**`internal/graph/schema.resolvers.go`**:\n\nChange the cache call from:\n```go\nkey := statsCacheKey(filter, groupBy)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n})\n```\nTo:\n```go\nkey := statsCacheKey(filter, groupBy, reqFields)\nallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n})\n```\n\n## Why This Works\n\n- The project list query never requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is skipped → fast query\n- The user list query also never requests `totalUsers` → same benefit (marginal since the user `COUNT(DISTINCT)` is trivial)\n- The status page requests `totalUsers` → `COUNT(DISTINCT hpc_user)` is computed → no regression\n- Cache deduplication still works: if two aliases in the same request have the same filter+groupBy+reqFields, they share the cached result\n\n## Critical Files\n\n- `internal/graph/schema.resolvers.go` — cache invocation (lines ~678–688)\n- `internal/graph/stats_cache.go` — `statsCacheKey` function (line 57–59)\n- `internal/repository/stats.go` — `buildStatsQuery` (lines 136–229, `need()` helper)\n\n## Verification\n\n1. Build: `go build ./...`\n2. Test: `go test ./internal/repository/... ./internal/graph/...`\n3. Start server: `./cc-backend -server -dev -loglevel debug`\n4. Load `/monitoring/projects/?cluster=alex&startTime=last30d` — check that it loads at similar speed to `/monitoring/users/`\n5. Check backend logs for `Timer JobsStatsGrouped call:` — project query should now be much faster\n6. Verify `/monitoring/status/` still shows correct `Active Users` counts per subcluster\n","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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{"parentUuid":"81616078-7330-4b2d-9627-fe2dcf64e012","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NiKPdBkFLhPa2j9wRLCewc","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 graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"slices\"\n 12→\t\"sync\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→)\n 16→\n 17→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n 18→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n 19→// frontend requests multiple sort/page slices of the same underlying data\n 20→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n 21→type statsGroupCache struct {\n 22→\tmu sync.Mutex\n 23→\tentries map[string]*cacheEntry\n 24→}\n 25→\n 26→type cacheEntry struct {\n 27→\tonce sync.Once\n 28→\tresult []*model.JobsStatistics\n 29→\terr error\n 30→}\n 31→\n 32→type ctxKey int\n 33→\n 34→const statsGroupCacheKey ctxKey = iota\n 35→\n 36→// newStatsGroupCache creates a new empty cache.\n 37→func newStatsGroupCache() *statsGroupCache {\n 38→\treturn &statsGroupCache{\n 39→\t\tentries: make(map[string]*cacheEntry),\n 40→\t}\n 41→}\n 42→\n 43→// WithStatsGroupCache injects a new cache into the context.\n 44→func WithStatsGroupCache(ctx context.Context) context.Context {\n 45→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n 46→}\n 47→\n 48→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n 49→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n 50→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n 51→\t\treturn c\n 52→\t}\n 53→\treturn nil\n 54→}\n 55→\n 56→// cacheKey builds a deterministic string key from filter + groupBy.\n 57→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n 58→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n 59→}\n 60→\n 61→// getOrCompute returns cached results for the given key, computing them on\n 62→// first access via the provided function.\n 63→func (c *statsGroupCache) getOrCompute(\n 64→\tkey string,\n 65→\tcompute func() ([]*model.JobsStatistics, error),\n 66→) ([]*model.JobsStatistics, error) {\n 67→\tc.mu.Lock()\n 68→\tentry, ok := c.entries[key]\n 69→\tif !ok {\n 70→\t\tentry = &cacheEntry{}\n 71→\t\tc.entries[key] = entry\n 72→\t}\n 73→\tc.mu.Unlock()\n 74→\n 75→\tentry.once.Do(func() {\n 76→\t\tentry.result, entry.err = compute()\n 77→\t})\n 78→\treturn entry.result, entry.err\n 79→}\n 80→\n 81→// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n 82→// and returns the requested page slice.\n 83→func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n 84→\t// Work on a shallow copy so the cached slice order is not mutated.\n 85→\tsorted := make([]*model.JobsStatistics, len(allStats))\n 86→\tcopy(sorted, allStats)\n 87→\n 88→\tif sortBy != nil {\n 89→\t\tgetter := statsFieldGetter(*sortBy)\n 90→\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n 91→\t\t\treturn getter(b) - getter(a) // descending\n 92→\t\t})\n 93→\t}\n 94→\n 95→\tif page != nil && page.ItemsPerPage != -1 {\n 96→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 97→\t\tif start >= len(sorted) {\n 98→\t\t\treturn nil\n 99→\t\t}\n 100→\t\tend := start + page.ItemsPerPage\n 101→\t\tif end > len(sorted) {\n 102→\t\t\tend = len(sorted)\n 103→\t\t}\n 104→\t\tsorted = sorted[start:end]\n 105→\t}\n 106→\n 107→\treturn sorted\n 108→}\n 109→\n 110→// statsFieldGetter returns a function that extracts the sortable int field\n 111→// from a JobsStatistics struct for the given sort key.\n 112→func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n 113→\tswitch sortBy {\n 114→\tcase model.SortByAggregateTotaljobs:\n 115→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n 116→\tcase model.SortByAggregateTotalusers:\n 117→\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n 118→\tcase model.SortByAggregateTotalwalltime:\n 119→\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n 120→\tcase model.SortByAggregateTotalnodes:\n 121→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n 122→\tcase model.SortByAggregateTotalnodehours:\n 123→\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n 124→\tcase model.SortByAggregateTotalcores:\n 125→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n 126→\tcase model.SortByAggregateTotalcorehours:\n 127→\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n 128→\tcase model.SortByAggregateTotalaccs:\n 129→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n 130→\tcase model.SortByAggregateTotalacchours:\n 131→\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n 132→\tdefault:\n 133→\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n 134→\t}\n 135→}\n 136→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9475e67e-a98a-4423-af71-22ef9c81c75a","timestamp":"2026-03-19T09:59:18.312Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.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 graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","numLines":136,"startLine":1,"totalLines":136}},"sourceToolAssistantUUID":"81616078-7330-4b2d-9627-fe2dcf64e012","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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{"parentUuid":"ba3c1e59-d9fc-4519-8619-0e8788e3e950","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Z6dq7upBG8GLSTr5Z7pKJ","type":"tool_result","content":" 670→\n 671→\tif fetchedMainStats {\n 672→\t\tif groupBy == nil {\n 673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 674→\t\t} else {\n 675→\t\t\tstartGrouped := time.Now()\n 676→\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n 677→\t\t\t// but different sortBy/page hit the DB only once.\n 678→\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n 679→\t\t\t\tkey := statsCacheKey(filter, groupBy)\n 680→\t\t\t\tvar allStats []*model.JobsStatistics\n 681→\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n 682→\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n 683→\t\t\t\t})\n 684→\t\t\t\tif err == nil {\n 685→\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n 686→\t\t\t\t}\n 687→\t\t\t} else {\n 688→\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 689→\t\t\t}\n 690→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 691→\t\t}\n 692→\t} else {\n 693→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 694→\t\tstats = append(stats, &model.JobsStatistics{})\n 695→\t}\n 696→\n 697→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 698→\t// Only run separate count queries if main stats were not fetched.\n 699→\tif !fetchedMainStats {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"4aacd2cd-eb79-4def-aaf8-3015eea66a5b","timestamp":"2026-03-19T09:59:18.711Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {","numLines":30,"startLine":670,"totalLines":1075}},"sourceToolAssistantUUID":"ba3c1e59-d9fc-4519-8619-0e8788e3e950","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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{"parentUuid":"be8ca8a3-73dc-4799-9a6b-6c0e6df79385","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019YX724vnga6FSS435nVX1H","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"103d7537-2792-4552-8097-e3e3645f3409","timestamp":"2026-03-19T09:59:26.969Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}","newString":"// cacheKey builds a deterministic string key from filter + groupBy + reqFields.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {\n\treturn fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)\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 graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}\n","structuredPatch":[{"oldStart":53,"oldLines":9,"newStart":53,"newLines":9,"lines":[" return nil"," }"," ","-// cacheKey builds a deterministic string key from filter + groupBy.","-func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {","- return fmt.Sprintf(\"%v|%v\", filter, *groupBy)","+// cacheKey builds a deterministic string key from filter + groupBy + reqFields.","+func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {","+ return fmt.Sprintf(\"%v|%v|%v\", filter, *groupBy, reqFields)"," }"," "," // getOrCompute returns cached results for the given key, computing them on"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be8ca8a3-73dc-4799-9a6b-6c0e6df79385","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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{"parentUuid":"34428c1b-a455-45e5-b389-32f4e44de37d","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R4Rd6cPw28VjU1k6SVUHsJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"96c57c31-74df-4ab3-af2d-58847abf6e2f","timestamp":"2026-03-19T09:59:33.739Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})","newString":"\t\t\tkey := statsCacheKey(filter, groupBy, reqFields)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)\n\t\t\t\t})","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.88\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn &timestamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":676,"oldLines":10,"newStart":676,"newLines":10,"lines":[" // Use request-scoped cache: multiple aliases with same (filter, groupBy)"," // but different sortBy/page hit the DB only once."," if cache := getStatsGroupCache(ctx); cache != nil {","- key := statsCacheKey(filter, groupBy)","+ key := statsCacheKey(filter, groupBy, reqFields)"," var allStats []*model.JobsStatistics"," allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","- return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+ return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)"," })"," if err == nil {"," stats = sortAndPageStats(allStats, sortBy, page)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"34428c1b-a455-45e5-b389-32f4e44de37d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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{"parentUuid":"bd09ceda-835e-4269-9496-6d68e368e695","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Q6SqFa2j9b5Ci1z2Rs9Lm","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EuMCCkYICxgCKkCUy23qXUI8uZuo0jLD6Fj5mRgM12V54cm3hwRvQ3HwTKy0xEWFMqbDmFZjhsAmR9s/pnKYIdh6CTGo4vohl/vvEgxg2a7YiG4U3zsU5ckaDCb4BDRyhJWYRuEgTyIwudOVY1snvJUWKRnxRYaU29we53ZdoBXV6g1nx1jazTqiVbm6Ljta7ke8yDzYf+pXKsoBiPf1Adgr7toNhuXU5v2GY2V2x7ne3ShvHPCfra4dBRRLsvhgmFh/9DH+zLHZxqoYM223H/6vuThlm9VgiVJxkXrYuGT4QZ7voklZiyvz025zgad/TOakndK5qEM4eWUL7VFq1N6pV9OKO3P2B3BjVRilp+KzlPD5LJMpb3GkBJEKiYKVEXZ7/u0QQ5Sp6V1fl1dRcFmTSKvRDq9lcct83WpPmwxOD1eVK0LS5rAMt9HSYx1KZpaasvrCYiBBQ3cFpuNXOES70/gygRgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":225,"cache_read_input_tokens":24320,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":225},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCF4s2cQbpaXCnWYUhMc","type":"assistant","uuid":"0f5141f3-cda3-4a45-b0b6-5ab78208ced7","timestamp":"2026-03-19T09:59:44.837Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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{"parentUuid":"e9cfdf56-3494-4621-8220-2d91e1b2b0bc","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019uqsDjxmzoBnCiDFDpxXct","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"73072921-6881-48c7-a444-70a3dd84d712","timestamp":"2026-03-19T09:59:52.813Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"e9cfdf56-3494-4621-8220-2d91e1b2b0bc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
{"parentUuid":"73072921-6881-48c7-a444-70a3dd84d712","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01JB5TCLbRk8UMbE9MeZjeoq","type":"message","role":"assistant","content":[{"type":"text","text":"Clean build. Let me run the relevant tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":183,"cache_read_input_tokens":24545,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":183},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZCF5qvuW5RUbh8YzmEDM","type":"assistant","uuid":"be1afdfb-1862-40a1-b06d-11af72e8065d","timestamp":"2026-03-19T09:59:57.144Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
{"parentUuid":"be1afdfb-1862-40a1-b06d-11af72e8065d","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01JB5TCLbRk8UMbE9MeZjeoq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TqzJumCwUNtLyKRS1EiRCx","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/graph/... 2>&1","description":"Run repository and graph tests"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":183,"cache_read_input_tokens":24545,"output_tokens":101,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":183,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCF5qvuW5RUbh8YzmEDM","type":"assistant","uuid":"ebe8900a-adb1-460a-a92c-78b75095b28e","timestamp":"2026-03-19T09:59:57.842Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
{"parentUuid":"ebe8900a-adb1-460a-a92c-78b75095b28e","isSidechain":false,"promptId":"4fcd0306-e2ee-4526-a0bf-c87699d19405","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TqzJumCwUNtLyKRS1EiRCx","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.956s\n? \tgithub.com/ClusterCockpit/cc-backend/internal/graph\t[no test files]\n? \tgithub.com/ClusterCockpit/cc-backend/internal/graph/generated\t[no test files]\n? \tgithub.com/ClusterCockpit/cc-backend/internal/graph/model\t[no test files]","is_error":false}]},"uuid":"eeeadc7b-2959-4cb0-a162-077f45d00523","timestamp":"2026-03-19T10:00:00.124Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.956s\n? \tgithub.com/ClusterCockpit/cc-backend/internal/graph\t[no test files]\n? \tgithub.com/ClusterCockpit/cc-backend/internal/graph/generated\t[no test files]\n? \tgithub.com/ClusterCockpit/cc-backend/internal/graph/model\t[no test files]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ebe8900a-adb1-460a-a92c-78b75095b28e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
{"parentUuid":"eeeadc7b-2959-4cb0-a162-077f45d00523","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01CxDhFv5eFy3G1EYufM4fas","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. The two changes made:\n\n1. **`stats_cache.go`**: `statsCacheKey` now accepts `reqFields map[string]bool` and includes it in the cache key, so requests with different field sets are cached separately.\n\n2. **`schema.resolvers.go`**: The cache path now passes `reqFields` (instead of `nil`) to `JobsStatsGrouped`, so `COUNT(DISTINCT hpc_user)` is only computed when the frontend actually requests `totalUsers`.\n\n**Effect**: The `/monitoring/projects/` page (which doesn't request `totalUsers`) will no longer trigger the expensive `COUNT(DISTINCT hpc_user)` per-project query. The `/monitoring/status/` page that does request `totalUsers` for subcluster grouping is unaffected."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":333,"cache_read_input_tokens":24728,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":333,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZCF6PBbvZUKwApp7NqHu","type":"assistant","uuid":"0f403fed-554b-44c8-b344-c8fbd1f27717","timestamp":"2026-03-19T10:00:09.372Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
{"parentUuid":"0f403fed-554b-44c8-b344-c8fbd1f27717","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"8f1ebbcb-fd26-496c-a551-45ed5a7e7554","toolUseID":"8f1ebbcb-fd26-496c-a551-45ed5a7e7554","timestamp":"2026-03-19T10:00:09.416Z","uuid":"b2648cbc-d3a7-4505-be0e-ae611f961131","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c8010cd5-db40-4104-813d-673a42ac9dbe","version":"2.1.79","gitBranch":"hotfix","slug":"reactive-frolicking-kitten"}
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