cc-backend/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/full.jsonl

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{"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"}
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{"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"}
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{"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<username>   | 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<username>   | 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"}
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{"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, &timestamp, &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, &timestamp, &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, &timestamp, &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, &timestamp, &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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{"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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