cc-backend/81/bf5e62e311/0/full.jsonl

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{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b348643b-114f-4a27-a3ca-14b9e0225dc9","toolUseID":"b348643b-114f-4a27-a3ca-14b9e0225dc9","timestamp":"2026-03-10T04:47:20.589Z","uuid":"91c87272-005d-4f82-9f9e-94b79e03e44a"}
{"parentUuid":"91c87272-005d-4f82-9f9e-94b79e03e44a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Optimize Footprint JSON Queries\n\n## Context\n\nMigration 08 consolidated 8 metric columns (`flops_any_avg`, `mem_bw_avg`, etc.) into a single `footprint TEXT` JSON column. All queries now use `JSON_EXTRACT(footprint, '$.field')` for filtering (WHERE) and sorting (ORDER BY), which forces **full table scans** — there are zero indexes on footprint expressions despite ~80 indexes on regular columns.\n\n**Bug found**: `jobQuery.go:66` checks `JSON_VALID(meta_data)` instead of `JSON_VALID(footprint)` when sorting by footprint fields.\n\n## Approach: SQLite Expression Indexes\n\nExpression indexes (`CREATE INDEX ... ON job(json_extract(footprint, '$.field'))`) are the optimal solution:\n- No schema/table changes needed (unlike generated columns or denormalization which require table rebuilds)\n- Can be added/dropped independently per metric\n- SQLite uses them for both WHERE and ORDER BY when the expression matches exactly\n- Handles variable metric sets gracefully (missing keys = NULL, skipped in index)\n\n### Critical requirement\nSQLite matches expressions **textually**. The `json_extract` call in queries must match the index definition exactly. Current code uses `JSON_EXTRACT(footprint, \"$.field\")` — must normalize to `json_extract(footprint, '$.field')`.\n\n## Changes\n\n### 1. New migration `11_add-footprint-indexes.up.sql`\n\n**Standalone expression indexes** (8 — for WHERE and ORDER BY):\n```sql\nCREATE INDEX IF NOT EXISTS jobs_fp_<metric> ON job (json_extract(footprint, '$.<metric>'));\n```\nFor: `flops_any_avg`, `mem_bw_avg`, `mem_used_max`, `cpu_load_avg`, `net_bw_avg`, `net_data_vol_total`, `file_bw_avg`, `file_data_vol_total`\n\n**Composite indexes with cluster** (4 — for the most common filter+sort combo):\n```sql\nCREATE INDEX IF NOT EXISTS jobs_cluster_fp_<metric> ON job (cluster, json_extract(footprint, '$.<metric>'));\n```\nFor: `cpu_load_avg`, `flops_any_avg`, `mem_bw_avg`, `mem_used_max`\n\nDown migration drops all 12 indexes.\n\n### 2. Update `internal/repository/migration.go`\n- `Version` 10 → 11\n\n### 3. Update `internal/repository/jobQuery.go`\n\n**`buildFloatJSONCondition`** (lines 338-349):\n- Remove `JSON_VALID(footprint)` — prevents index use, redundant (json_extract returns NULL on invalid JSON)\n- Normalize expression to lowercase `json_extract` with single-quoted path\n\n**ORDER BY** (lines 64-75):\n- Fix bug: remove `JSON_VALID(meta_data)` (wrong column!)\n- Normalize expression to `json_extract(footprint, '$.%s')`\n\n### 4. Update `internal/repository/stats.go`\n\n**`jobsMetricStatisticsHistogram`** (lines 923-933):\n- Remove `JSON_VALID(footprint)` from WHERE\n- Normalize `json_extract` expressions to single-quoted paths\n\n## Expected Impact\n\n- **Filtering**: O(n) full scan → O(log n) index seek\n- **Sorting**: Eliminates temp B-tree sort step entirely\n- **Filter+Sort on cluster**: Single composite index satisfies both\n- **Write cost**: ~12-24 microseconds added per INSERT (negligible for HPC job rates)\n\n## Verification\n\n1. Run `go test ./internal/repository/...`\n2. With a test DB, run `EXPLAIN QUERY PLAN` on footprint queries to confirm `USING INDEX jobs_fp_*`\n3. Build: `go build ./cmd/cc-backend`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/c4d819fa-a4bd-4377-908d-a2b097a87a68.jsonl"},"uuid":"0b7be1a0-328f-470b-98b1-4770a9f85f45","timestamp":"2026-03-10T04:47:20.357Z","planContent":"# Optimize Footprint JSON Queries\n\n## Context\n\nMigration 08 consolidated 8 metric columns (`flops_any_avg`, `mem_bw_avg`, etc.) into a single `footprint TEXT` JSON column. All queries now use `JSON_EXTRACT(footprint, '$.field')` for filtering (WHERE) and sorting (ORDER BY), which forces **full table scans** — there are zero indexes on footprint expressions despite ~80 indexes on regular columns.\n\n**Bug found**: `jobQuery.go:66` checks `JSON_VALID(meta_data)` instead of `JSON_VALID(footprint)` when sorting by footprint fields.\n\n## Approach: SQLite Expression Indexes\n\nExpression indexes (`CREATE INDEX ... ON job(json_extract(footprint, '$.field'))`) are the optimal solution:\n- No schema/table changes needed (unlike generated columns or denormalization which require table rebuilds)\n- Can be added/dropped independently per metric\n- SQLite uses them for both WHERE and ORDER BY when the expression matches exactly\n- Handles variable metric sets gracefully (missing keys = NULL, skipped in index)\n\n### Critical requirement\nSQLite matches expressions **textually**. The `json_extract` call in queries must match the index definition exactly. Current code uses `JSON_EXTRACT(footprint, \"$.field\")` — must normalize to `json_extract(footprint, '$.field')`.\n\n## Changes\n\n### 1. New migration `11_add-footprint-indexes.up.sql`\n\n**Standalone expression indexes** (8 — for WHERE and ORDER BY):\n```sql\nCREATE INDEX IF NOT EXISTS jobs_fp_<metric> ON job (json_extract(footprint, '$.<metric>'));\n```\nFor: `flops_any_avg`, `mem_bw_avg`, `mem_used_max`, `cpu_load_avg`, `net_bw_avg`, `net_data_vol_total`, `file_bw_avg`, `file_data_vol_total`\n\n**Composite indexes with cluster** (4 — for the most common filter+sort combo):\n```sql\nCREATE INDEX IF NOT EXISTS jobs_cluster_fp_<metric> ON job (cluster, json_extract(footprint, '$.<metric>'));\n```\nFor: `cpu_load_avg`, `flops_any_avg`, `mem_bw_avg`, `mem_used_max`\n\nDown migration drops all 12 indexes.\n\n### 2. Update `internal/repository/migration.go`\n- `Version` 10 → 11\n\n### 3. Update `internal/repository/jobQuery.go`\n\n**`buildFloatJSONCondition`** (lines 338-349):\n- Remove `JSON_VALID(footprint)` — prevents index use, redundant (json_extract returns NULL on invalid JSON)\n- Normalize expression to lowercase `json_extract` with single-quoted path\n\n**ORDER BY** (lines 64-75):\n- Fix bug: remove `JSON_VALID(meta_data)` (wrong column!)\n- Normalize expression to `json_extract(footprint, '$.%s')`\n\n### 4. Update `internal/repository/stats.go`\n\n**`jobsMetricStatisticsHistogram`** (lines 923-933):\n- Remove `JSON_VALID(footprint)` from WHERE\n- Normalize `json_extract` expressions to single-quoted paths\n\n## Expected Impact\n\n- **Filtering**: O(n) full scan → O(log n) index seek\n- **Sorting**: Eliminates temp B-tree sort step entirely\n- **Filter+Sort on cluster**: Single composite index satisfies both\n- **Write cost**: ~12-24 microseconds added per INSERT (negligible for HPC job rates)\n\n## Verification\n\n1. Run `go test ./internal/repository/...`\n2. With a test DB, run `EXPLAIN QUERY PLAN` on footprint queries to confirm `USING INDEX jobs_fp_*`\n3. Build: `go build ./cmd/cc-backend`\n"}
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{"parentUuid":"9d29d65b-5445-4c91-89b0-5eac30647898","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","message":{"model":"claude-opus-4-6","id":"msg_01C3ugKAvgNvXNgM1CQ6CZJw","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the relevant files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4854,"cache_read_input_tokens":12943,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4854},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYtnyKAU8WmSJoiqc8osm","type":"assistant","uuid":"f4a01de0-5423-492c-87a6-ff21784d4f7e","timestamp":"2026-03-10T04:47:23.844Z"}
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{"parentUuid":"da73aaa4-0e2d-416f-917b-709b82f69999","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E9pNp6iMx2FAXwXxjidP1s","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→package repository\n     7→\n     8→import (\n     9→\t\"database/sql\"\n    10→\t\"embed\"\n    11→\t\"fmt\"\n    12→\n    13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    14→\t\"github.com/golang-migrate/migrate/v4\"\n    15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n    16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n    17→)\n    18→\n    19→// Version is the current database schema version required by this version of cc-backend.\n    20→// When the database schema changes, this version is incremented and a new migration file\n    21→// is added to internal/repository/migrations/sqlite3/.\n    22→//\n    23→// Version history:\n    24→//   - Version 10: Current version\n    25→//\n    26→// Migration files are embedded at build time from the migrations directory.\n    27→const Version uint = 10\n    28→\n    29→//go:embed migrations/*\n    30→var migrationFiles embed.FS\n    31→\n    32→// checkDBVersion verifies that the database schema version matches the expected version.\n    33→// This is called automatically during Connect() to ensure schema compatibility.\n    34→//\n    35→// Returns an error if:\n    36→//   - Database version is older than expected (needs migration)\n    37→//   - Database version is newer than expected (needs app upgrade)\n    38→//   - Database is in a dirty state (failed migration)\n    39→//\n    40→// A \"dirty\" database indicates a migration was started but not completed successfully.\n    41→// This requires manual intervention to fix the database and force the version.\n    42→func checkDBVersion(db *sql.DB) error {\n    43→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n    44→\tif err != nil {\n    45→\t\treturn err\n    46→\t}\n    47→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n    48→\tif err != nil {\n    49→\t\treturn err\n    50→\t}\n    51→\n    52→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n    53→\tif err != nil {\n    54→\t\treturn err\n    55→\t}\n    56→\n    57→\tv, dirty, err := m.Version()\n    58→\tif err != nil {\n    59→\t\tif err == migrate.ErrNilVersion {\n    60→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n    61→\t\t} else {\n    62→\t\t\treturn err\n    63→\t\t}\n    64→\t}\n    65→\n    66→\tif v < Version {\n    67→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n    68→\t} else if v > Version {\n    69→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n    70→\t}\n    71→\n    72→\tif dirty {\n    73→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n    74→\t}\n    75→\n    76→\treturn nil\n    77→}\n    78→\n    79→// getMigrateInstance creates a new migration instance for the given database file.\n    80→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n    81→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n    82→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n    83→\tif err != nil {\n    84→\t\treturn nil, err\n    85→\t}\n    86→\n    87→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n    88→\tif err != nil {\n    89→\t\treturn nil, err\n    90→\t}\n    91→\n    92→\treturn m, nil\n    93→}\n    94→\n    95→// MigrateDB applies all pending database migrations to bring the schema up to date.\n    96→// This should be run with the -migrate-db flag before starting the application\n    97→// after upgrading to a new version that requires schema changes.\n    98→//\n    99→// Process:\n   100→//  1. Checks current database version\n   101→//  2. Applies all migrations from current version to target Version\n   102→//  3. Updates schema_migrations table to track applied migrations\n   103→//\n   104→// Important:\n   105→//   - Always backup your database before running migrations\n   106→//   - Migrations are irreversible without manual intervention\n   107→//   - If a migration fails, the database is marked \"dirty\" and requires manual fix\n   108→//\n   109→// Usage:\n   110→//\n   111→//\tcc-backend -migrate-db\n   112→func MigrateDB(db string) error {\n   113→\tm, err := getMigrateInstance(db)\n   114→\tif err != nil {\n   115→\t\treturn err\n   116→\t}\n   117→\n   118→\tv, dirty, err := m.Version()\n   119→\tif err != nil {\n   120→\t\tif err == migrate.ErrNilVersion {\n   121→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n   122→\t\t} else {\n   123→\t\t\treturn err\n   124→\t\t}\n   125→\t}\n   126→\n   127→\tif v < Version {\n   128→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n   129→\t}\n   130→\n   131→\tif dirty {\n   132→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n   133→\t}\n   134→\n   135→\tif err := m.Up(); err != nil {\n   136→\t\tif err == migrate.ErrNoChange {\n   137→\t\t\tcclog.Info(\"DB already up to date!\")\n   138→\t\t} else {\n   139→\t\t\treturn err\n   140→\t\t}\n   141→\t}\n   142→\n   143→\tm.Close()\n   144→\treturn nil\n   145→}\n   146→\n   147→// RevertDB rolls back the database schema to the previous version (Version - 1).\n   148→// This is primarily used for testing or emergency rollback scenarios.\n   149→//\n   150→// Warning:\n   151→//   - This may cause data loss if newer schema added columns/tables\n   152→//   - Always backup before reverting\n   153→//   - Not all migrations are safely reversible\n   154→//\n   155→// Usage:\n   156→//\n   157→//\tcc-backend -revert-db\n   158→func RevertDB(db string) error {\n   159→\tm, err := getMigrateInstance(db)\n   160→\tif err != nil {\n   161→\t\treturn err\n   162→\t}\n   163→\n   164→\tif err := m.Migrate(Version - 1); err != nil {\n   165→\t\tif err == migrate.ErrNoChange {\n   166→\t\t\tcclog.Info(\"DB already up to date!\")\n   167→\t\t} else {\n   168→\t\t\treturn err\n   169→\t\t}\n   170→\t}\n   171→\n   172→\tm.Close()\n   173→\treturn nil\n   174→}\n   175→\n   176→// ForceDB forces the database schema version to the current Version without running migrations.\n   177→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n   178→//\n   179→// When to use:\n   180→//   - After manually fixing a failed migration\n   181→//   - When you've manually applied schema changes and need to update the version marker\n   182→//\n   183→// Warning:\n   184→//   - This does NOT apply any schema changes\n   185→//   - Only use after manually verifying the schema is correct\n   186→//   - Improper use can cause schema/version mismatch\n   187→//\n   188→// Usage:\n   189→//\n   190→//\tcc-backend -force-db\n   191→func ForceDB(db string) error {\n   192→\tm, err := getMigrateInstance(db)\n   193→\tif err != nil {\n   194→\t\treturn err\n   195→\t}\n   196→\n   197→\tif err := m.Force(int(Version)); err != nil {\n   198→\t\treturn err\n   199→\t}\n   200→\n   201→\tm.Close()\n   202→\treturn nil\n   203→}\n   204→"}]},"uuid":"19a5ef20-7a9c-40c1-8246-bb142bc744f8","timestamp":"2026-03-10T04:47:24.364Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n//   - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n//   - Database version is older than expected (needs migration)\n//   - Database version is newer than expected (needs app upgrade)\n//   - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n//  1. Checks current database version\n//  2. Applies all migrations from current version to target Version\n//  3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n//   - Always backup your database before running migrations\n//   - Migrations are irreversible without manual intervention\n//   - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n//   - This may cause data loss if newer schema added columns/tables\n//   - Always backup before reverting\n//   - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n//   - After manually fixing a failed migration\n//   - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n//   - This does NOT apply any schema changes\n//   - Only use after manually verifying the schema is correct\n//   - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":204,"startLine":1,"totalLines":204}},"sourceToolAssistantUUID":"da73aaa4-0e2d-416f-917b-709b82f69999"}
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{"parentUuid":"9e14bed8-33ad-41cb-ad4a-4282f636a585","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0194tAPhvzTAoLmVUmUmkDNB","type":"tool_result","content":"     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n     2→// All rights reserved. This file is part of cc-backend.\n     3→// Use of this source code is governed by a MIT-style\n     4→// license that can be found in the LICENSE file.\n     5→\n     6→// Package repository provides job query functionality with filtering, pagination,\n     7→// and security controls. This file contains the main query builders and security\n     8→// checks for job retrieval operations.\n     9→package repository\n    10→\n    11→import (\n    12→\t\"context\"\n    13→\t\"errors\"\n    14→\t\"fmt\"\n    15→\t\"regexp\"\n    16→\t\"strings\"\n    17→\t\"time\"\n    18→\n    19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n    20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n    21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n    22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n    23→\tsq \"github.com/Masterminds/squirrel\"\n    24→)\n    25→\n    26→const (\n    27→\t// Default initial capacity for job result slices\n    28→\tdefaultJobsCapacity = 50\n    29→)\n    30→\n    31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n    32→// and sorting. Security controls are automatically applied based on the user context.\n    33→//\n    34→// Parameters:\n    35→//   - ctx: Context containing user authentication information\n    36→//   - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n    37→//   - page: Optional pagination parameters (page number and items per page)\n    38→//   - order: Optional sorting specification (column or footprint field)\n    39→//\n    40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n    41→// The function enforces role-based access control through SecurityCheck.\n    42→func (r *JobRepository) QueryJobs(\n    43→\tctx context.Context,\n    44→\tfilters []*model.JobFilter,\n    45→\tpage *model.PageRequest,\n    46→\torder *model.OrderByInput,\n    47→) ([]*schema.Job, error) {\n    48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n    49→\tif qerr != nil {\n    50→\t\treturn nil, qerr\n    51→\t}\n    52→\n    53→\tif order != nil {\n    54→\t\tfield := toSnakeCase(order.Field)\n    55→\t\tif order.Type == \"col\" {\n    56→\t\t\tswitch order.Order {\n    57→\t\t\tcase model.SortDirectionEnumAsc:\n    58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n    59→\t\t\tcase model.SortDirectionEnumDesc:\n    60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n    61→\t\t\tdefault:\n    62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n    63→\t\t\t}\n    64→\t\t} else {\n    65→\t\t\t// Order by footprint JSON field values\n    66→\t\t\tquery = query.Where(\"JSON_VALID(meta_data)\")\n    67→\t\t\tswitch order.Order {\n    68→\t\t\tcase model.SortDirectionEnumAsc:\n    69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n    70→\t\t\tcase model.SortDirectionEnumDesc:\n    71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n    72→\t\t\tdefault:\n    73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n    74→\t\t\t}\n    75→\t\t}\n    76→\t}\n    77→\n    78→\tif page != nil && page.ItemsPerPage != -1 {\n    79→\t\tlimit := uint64(page.ItemsPerPage)\n    80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n    81→\t}\n    82→\n    83→\tfor _, f := range filters {\n    84→\t\tquery = BuildWhereClause(f, query)\n    85→\t}\n    86→\n    87→\trows, err := query.RunWith(r.stmtCache).Query()\n    88→\tif err != nil {\n    89→\t\tqueryString, queryVars, _ := query.ToSql()\n    90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n    91→\t}\n    92→\tdefer rows.Close()\n    93→\n    94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n    95→\tfor rows.Next() {\n    96→\t\tjob, err := scanJob(rows)\n    97→\t\tif err != nil {\n    98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n    99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n   100→\t\t}\n   101→\t\tjobs = append(jobs, job)\n   102→\t}\n   103→\n   104→\tif err := rows.Err(); err != nil {\n   105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n   106→\t}\n   107→\n   108→\treturn jobs, nil\n   109→}\n   110→\n   111→// CountJobs returns the total number of jobs matching the given filters.\n   112→// Security controls are automatically applied based on the user context.\n   113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n   114→// times when joined with the tag table).\n   115→func (r *JobRepository) CountJobs(\n   116→\tctx context.Context,\n   117→\tfilters []*model.JobFilter,\n   118→) (int, error) {\n   119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n   120→\tif qerr != nil {\n   121→\t\treturn 0, qerr\n   122→\t}\n   123→\n   124→\tfor _, f := range filters {\n   125→\t\tquery = BuildWhereClause(f, query)\n   126→\t}\n   127→\n   128→\tvar count int\n   129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n   130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n   131→\t}\n   132→\n   133→\treturn count, nil\n   134→}\n   135→\n   136→// SecurityCheckWithUser applies role-based access control filters to a job query\n   137→// based on the provided user's roles and permissions.\n   138→//\n   139→// Access rules by role:\n   140→//   - API role (exclusive): Full access to all jobs\n   141→//   - Admin/Support roles: Full access to all jobs\n   142→//   - Manager role: Access to jobs in managed projects plus own jobs\n   143→//   - User role: Access only to own jobs\n   144→//\n   145→// Returns an error if the user is nil or has no recognized roles.\n   146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   147→\tif user == nil {\n   148→\t\tvar qnil sq.SelectBuilder\n   149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n   150→\t}\n   151→\n   152→\tswitch {\n   153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n   154→\t\treturn query, nil\n   155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n   156→\t\treturn query, nil\n   157→\tcase user.HasRole(schema.RoleManager):\n   158→\t\tif len(user.Projects) != 0 {\n   159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n   160→\t\t}\n   161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n   162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n   163→\tcase user.HasRole(schema.RoleUser):\n   164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n   165→\tdefault:\n   166→\t\tvar qnil sq.SelectBuilder\n   167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n   168→\t}\n   169→}\n   170→\n   171→// SecurityCheck extracts the user from the context and applies role-based access\n   172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n   173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n   174→\tuser := GetUserFromContext(ctx)\n   175→\treturn SecurityCheckWithUser(user, query)\n   176→}\n   177→\n   178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n   179→// them to the query. Supports filtering by job properties (cluster, state, user),\n   180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n   181→// footprint, and resources columns.\n   182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n   183→\t// Primary Key\n   184→\tif filter.DbID != nil {\n   185→\t\tdbIDs := make([]string, len(filter.DbID))\n   186→\t\tcopy(dbIDs, filter.DbID)\n   187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n   188→\t}\n   189→\t// Explicit indices\n   190→\tif filter.Cluster != nil {\n   191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n   192→\t}\n   193→\tif filter.SubCluster != nil {\n   194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n   195→\t}\n   196→\tif filter.Partition != nil {\n   197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n   198→\t}\n   199→\tif filter.State != nil {\n   200→\t\tstates := make([]string, len(filter.State))\n   201→\t\tfor i, val := range filter.State {\n   202→\t\t\tstates[i] = string(val)\n   203→\t\t}\n   204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n   205→\t}\n   206→\tif filter.Shared != nil {\n   207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n   208→\t}\n   209→\tif filter.Project != nil {\n   210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n   211→\t}\n   212→\tif filter.User != nil {\n   213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n   214→\t}\n   215→\tif filter.NumNodes != nil {\n   216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n   217→\t}\n   218→\tif filter.NumAccelerators != nil {\n   219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n   220→\t}\n   221→\tif filter.NumHWThreads != nil {\n   222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n   223→\t}\n   224→\tif filter.ArrayJobID != nil {\n   225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n   226→\t}\n   227→\tif filter.StartTime != nil {\n   228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n   229→\t}\n   230→\tif filter.Duration != nil {\n   231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n   232→\t}\n   233→\tif filter.Energy != nil {\n   234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n   235→\t}\n   236→\t// Indices on Tag Table\n   237→\tif filter.Tags != nil {\n   238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n   239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n   240→\t}\n   241→\t// No explicit Indices\n   242→\tif filter.JobID != nil {\n   243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n   244→\t}\n   245→\t// Queries Within JSONs\n   246→\tif filter.MetricStats != nil {\n   247→\t\tfor _, ms := range filter.MetricStats {\n   248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n   249→\t\t}\n   250→\t}\n   251→\tif filter.Node != nil {\n   252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n   253→\t}\n   254→\tif filter.JobName != nil {\n   255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n   256→\t}\n   257→\tif filter.Schedule != nil {\n   258→\t\tinteractiveJobname := \"interactive\"\n   259→\t\tswitch *filter.Schedule {\n   260→\t\tcase \"interactive\":\n   261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n   262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n   263→\t\tcase \"batch\":\n   264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n   265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n   266→\t\t}\n   267→\t}\n   268→\n   269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n   270→\tif filter.MinRunningFor != nil {\n   271→\t\tnow := time.Now().Unix()\n   272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n   273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n   274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n   275→\t}\n   276→\treturn query\n   277→}\n   278→\n   279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n   280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n   281→\tif cond.From != 1 && cond.To != 0 {\n   282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n   283→\t} else if cond.From != 1 && cond.To == 0 {\n   284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n   285→\t} else if cond.From == 1 && cond.To != 0 {\n   286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n   287→\t} else {\n   288→\t\treturn query\n   289→\t}\n   290→}\n   291→\n   292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n   293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n   294→\tif cond.From != 1.0 && cond.To != 0.0 {\n   295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n   296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n   297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n   298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n   299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n   300→\t} else {\n   301→\t\treturn query\n   302→\t}\n   303→}\n   304→\n   305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n   306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n   307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n   308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n   309→\tif cond.From != nil && cond.To != nil {\n   310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n   311→\t} else if cond.From != nil {\n   312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n   313→\t} else if cond.To != nil {\n   314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n   315→\t} else if cond.Range != \"\" {\n   316→\t\tnow := time.Now().Unix()\n   317→\t\tvar then int64\n   318→\t\tswitch cond.Range {\n   319→\t\tcase \"last6h\":\n   320→\t\t\tthen = now - (60 * 60 * 6)\n   321→\t\tcase \"last24h\":\n   322→\t\t\tthen = now - (60 * 60 * 24)\n   323→\t\tcase \"last7d\":\n   324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n   325→\t\tcase \"last30d\":\n   326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n   327→\t\tdefault:\n   328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n   329→\t\t\treturn query\n   330→\t\t}\n   331→\t\treturn query.Where(field+\" >= ?\", then)\n   332→\t} else {\n   333→\t\treturn query\n   334→\t}\n   335→}\n   336→\n   337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n   338→func buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n   339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n   340→\tif cond.From != 1.0 && cond.To != 0.0 {\n   341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n   342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n   343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)\n   344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n   345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)\n   346→\t} else {\n   347→\t\treturn query\n   348→\t}\n   349→}\n   350→\n   351→// buildStringCondition creates filters for string fields supporting equality,\n   352→// inequality, prefix, suffix, substring, and IN list matching.\n   353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n   354→\tif cond.Eq != nil {\n   355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n   356→\t}\n   357→\tif cond.Neq != nil {\n   358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n   359→\t}\n   360→\tif cond.StartsWith != nil {\n   361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n   362→\t}\n   363→\tif cond.EndsWith != nil {\n   364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n   365→\t}\n   366→\tif cond.Contains != nil {\n   367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n   368→\t}\n   369→\tif cond.In != nil {\n   370→\t\tqueryElements := make([]string, len(cond.In))\n   371→\t\tcopy(queryElements, cond.In)\n   372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n   373→\t}\n   374→\treturn query\n   375→}\n   376→\n   377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n   378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n   379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n   380→\tif cond.Eq != nil {\n   381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n   382→\t}\n   383→\tif cond.Neq != nil {\n   384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n   385→\t}\n   386→\tif cond.StartsWith != nil {\n   387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n   388→\t}\n   389→\tif cond.EndsWith != nil {\n   390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n   391→\t}\n   392→\tif cond.Contains != nil {\n   393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n   394→\t}\n   395→\treturn query\n   396→}\n   397→\n   398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n   399→// Uses json_each to search within array elements.\n   400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n   401→\tquery = query.Where(\"JSON_VALID(resources)\")\n   402→\tif cond.Eq != nil {\n   403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n   404→\t}\n   405→\tif cond.Neq != nil { // Currently Unused\n   406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n   407→\t}\n   408→\tif cond.StartsWith != nil { // Currently Unused\n   409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n   410→\t}\n   411→\tif cond.EndsWith != nil { // Currently Unused\n   412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n   413→\t}\n   414→\tif cond.Contains != nil {\n   415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n   416→\t}\n   417→\treturn query\n   418→}\n   419→\n   420→var (\n   421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n   422→\tmatchAllCap   = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n   423→)\n   424→\n   425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n   426→// Includes security checks to prevent SQL injection attempts.\n   427→// Panics if potentially dangerous characters are detected.\n   428→func toSnakeCase(str string) string {\n   429→\tfor _, c := range str {\n   430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n   431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n   432→\t\t}\n   433→\t}\n   434→\n   435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n   436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n   437→\treturn strings.ToLower(snake)\n   438→}\n   439→"}]},"uuid":"94f6cce8-c448-40ec-80f9-c5f796718c2f","timestamp":"2026-03-10T04:47:24.810Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n//   - ctx: Context containing user authentication information\n//   - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n//   - page: Optional pagination parameters (page number and items per page)\n//   - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n//   - API role (exclusive): Full access to all jobs\n//   - Admin/Support roles: Full access to all jobs\n//   - Manager role: Access to jobs in managed projects plus own jobs\n//   - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap   = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":439,"startLine":1,"totalLines":439}},"sourceToolAssistantUUID":"9e14bed8-33ad-41cb-ad4a-4282f636a585"}
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{"parentUuid":"0084ec30-f760-4bca-9632-a38861e10d21","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KuHtZ6bAK6z3V7anzGqkEr","type":"tool_result","content":"   900→\t\t\t\tif m.Name == metric {\n   901→\t\t\t\t\tif m.Peak > peak {\n   902→\t\t\t\t\t\tpeak = m.Peak\n   903→\t\t\t\t\t}\n   904→\t\t\t\t\tif unit == \"\" {\n   905→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n   906→\t\t\t\t\t}\n   907→\t\t\t\t\tif footprintStat == \"\" {\n   908→\t\t\t\t\t\tfootprintStat = m.Footprint\n   909→\t\t\t\t\t}\n   910→\t\t\t\t}\n   911→\t\t\t}\n   912→\t\t}\n   913→\t}\n   914→\n   915→\t// Construct SQL histogram bins using normalized values.\n   916→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n   917→\tstart := time.Now()\n   918→\n   919→\t// Bin calculation formula:\n   920→\t//   bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n   921→\t// Special case: value == peak would create bin N+1, so we test for equality\n   922→\t// and multiply peak by 0.999999999 to force it into bin N.\n   923→\tbinQuery := fmt.Sprintf(`CAST(\n   924→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n   925→\t\t* %v as INTEGER )`,\n   926→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n   927→\n   928→\tmainQuery := sq.Select(\n   929→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n   930→\t\t`count(*) as count`,\n   931→\t).From(\"job\").Where(\n   932→\t\t\"JSON_VALID(footprint)\",\n   933→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n   934→\n   935→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n   936→\tif qerr != nil {\n   937→\t\treturn nil, qerr\n   938→\t}\n   939→\n   940→\tfor _, f := range filters {\n   941→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n   942→\t}\n   943→\n   944→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n   945→\n   946→\trows, err := mainQuery.RunWith(r.DB).Query()\n   947→\tif err != nil {\n   948→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n   949→\t\treturn nil, err\n   950→\t}\n   951→\n   952→\t// Pre-initialize bins with calculated min/max ranges.\n   953→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n   954→\tpoints := make([]*model.MetricHistoPoint, 0)\n   955→\tbinStep := int(peak) / *bins\n   956→\tfor i := 1; i <= *bins; i++ {\n   957→\t\tbinMin := (binStep * (i - 1))\n   958→\t\tbinMax := (binStep * i)\n   959→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}"}]},"uuid":"a014638a-1e74-4566-8ace-6d1b2c5a7fa5","timestamp":"2026-03-10T04:47:25.756Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"\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\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}","numLines":60,"startLine":900,"totalLines":1101}},"sourceToolAssistantUUID":"0084ec30-f760-4bca-9632-a38861e10d21"}
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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n//   - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n//   - Database version is older than expected (needs migration)\n//   - Database version is newer than expected (needs app upgrade)\n//   - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n//  1. Checks current database version\n//  2. Applies all migrations from current version to target Version\n//  3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n//   - Always backup your database before running migrations\n//   - Migrations are irreversible without manual intervention\n//   - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n//   - This may cause data loss if newer schema added columns/tables\n//   - Always backup before reverting\n//   - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n//   - After manually fixing a failed migration\n//   - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n//   - This does NOT apply any schema changes\n//   - Only use after manually verifying the schema is correct\n//   - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":10,"newStart":21,"newLines":11,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","-//   - Version 10: Current version","+//   - Version 11: Add expression indexes on footprint JSON fields","+//   - Version 10: Previous version"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 10","+const Version uint = 11"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9d12a996-2b43-44df-9172-df50d8d83b90"}
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{"parentUuid":"0c46471a-8e99-4fcb-a3a9-31cad8d0d77f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XEmorcAuyrYECpVxMboHLb","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go has been updated successfully."}]},"uuid":"59ade2d7-24d2-479d-965b-d21c336c4075","timestamp":"2026-03-10T04:47:46.945Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","oldString":"\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))","newString":"\t\t// Order by footprint JSON field values\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"json_extract(footprint, '$.%s') ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"json_extract(footprint, '$.%s') DESC\", field))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n//   - ctx: Context containing user authentication information\n//   - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n//   - page: Optional pagination parameters (page number and items per page)\n//   - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n//   - API role (exclusive): Full access to all jobs\n//   - Admin/Support roles: Full access to all jobs\n//   - Manager role: Access to jobs in managed projects plus own jobs\n//   - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap   = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":63,"oldLines":12,"newStart":63,"newLines":11,"lines":["       }","     } else {","       // Order by footprint JSON field values","-      query = query.Where(\"JSON_VALID(meta_data)\")","       switch order.Order {","       case model.SortDirectionEnumAsc:","-        query = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))","+        query = query.OrderBy(fmt.Sprintf(\"json_extract(footprint, '$.%s') ASC\", field))","       case model.SortDirectionEnumDesc:","-        query = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))","+        query = query.OrderBy(fmt.Sprintf(\"json_extract(footprint, '$.%s') DESC\", field))","       default:","         return nil, errors.New(\"invalid sorting order for footprint\")","       }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0c46471a-8e99-4fcb-a3a9-31cad8d0d77f"}
{"parentUuid":"59ade2d7-24d2-479d-965b-d21c336c4075","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","message":{"model":"claude-opus-4-6","id":"msg_012Ga5dE7XtiF6kboh6h8phj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JMem43UXJ5KDkT3BXtxrKu","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","old_string":"func buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}","new_string":"func buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"json_extract(footprint, '$.\"+field+\"') BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"json_extract(footprint, '$.\"+field+\"') >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"json_extract(footprint, '$.\"+field+\"') <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11216,"cache_read_input_tokens":17797,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11216},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYtnyjuWBQhw9RJhEK7Lj","type":"assistant","uuid":"0e457d22-b815-4807-9939-6da566602340","timestamp":"2026-03-10T04:47:51.383Z"}
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{"parentUuid":"0e457d22-b815-4807-9939-6da566602340","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JMem43UXJ5KDkT3BXtxrKu","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go has been updated successfully."}]},"uuid":"5e7e8fd7-73a0-47ab-b51e-358b95ee0229","timestamp":"2026-03-10T04:47:51.399Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","oldString":"func buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}","newString":"func buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"json_extract(footprint, '$.\"+field+\"') BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"json_extract(footprint, '$.\"+field+\"') >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"json_extract(footprint, '$.\"+field+\"') <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n//   - ctx: Context containing user authentication information\n//   - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n//   - page: Optional pagination parameters (page number and items per page)\n//   - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"json_extract(footprint, '$.%s') ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"json_extract(footprint, '$.%s') DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n//   - API role (exclusive): Full access to all jobs\n//   - Admin/Support roles: Full access to all jobs\n//   - Manager role: Access to jobs in managed projects plus own jobs\n//   - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap   = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":335,"oldLines":13,"newStart":335,"newLines":12,"lines":[" "," // buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required."," func buildFloatJSONCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {","-  query = query.Where(\"JSON_VALID(footprint)\")","   if cond.From != 1.0 && cond.To != 0.0 {","-    return query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)","+    return query.Where(\"json_extract(footprint, '$.\"+field+\"') BETWEEN ? AND ?\", cond.From, cond.To)","   } else if cond.From != 1.0 && cond.To == 0.0 {","-    return query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") >= ?\", cond.From)","+    return query.Where(\"json_extract(footprint, '$.\"+field+\"') >= ?\", cond.From)","   } else if cond.From == 1.0 && cond.To != 0.0 {","-    return query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+field+\"\\\") <= ?\", cond.To)","+    return query.Where(\"json_extract(footprint, '$.\"+field+\"') <= ?\", cond.To)","   } else {","     return query","   }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0e457d22-b815-4807-9939-6da566602340"}
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{"parentUuid":"5e7e8fd7-73a0-47ab-b51e-358b95ee0229","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","message":{"model":"claude-opus-4-6","id":"msg_012Ga5dE7XtiF6kboh6h8phj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9XDhw5fb3QvXicGLb8rTy","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\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))","new_string":"\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(fmt.Sprintf(`json_extract(footprint, '$.%s') is not null and json_extract(footprint, '$.%s') <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11216,"cache_read_input_tokens":17797,"output_tokens":2620,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11216,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYtnyjuWBQhw9RJhEK7Lj","type":"assistant","uuid":"d192d8b5-d871-47c2-bbfa-cd95c782d585","timestamp":"2026-03-10T04:47:57.773Z"}
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{"parentUuid":"d192d8b5-d871-47c2-bbfa-cd95c782d585","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"87b3c7c9-fcae-4f6a-a7a8-19c86178d4c9","version":"2.1.71","gitBranch":"optimize-footprint-queries","slug":"playful-spinning-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C9XDhw5fb3QvXicGLb8rTy","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"4adf083e-d1f8-43ac-925c-56311f207a15","timestamp":"2026-03-10T04:47:57.789Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\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))","newString":"\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(fmt.Sprintf(`json_extract(footprint, '$.%s') is not null and json_extract(footprint, '$.%s') <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n//   - Overall (JobsStats): Single aggregate across all matching jobs\n//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n//   - Duration, nodes, cores, accelerators (AddHistograms)\n//   - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n//   - Resources: Natural value-based bins\n//   - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n//   - Duration calculated as (now - start_time) for running jobs\n//   - Metric histograms for running jobs load data from metric backend instead of footprint\n//   - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser:       \"job.hpc_user\",\n\tmodel.AggregateProject:    \"job.project\",\n\tmodel.AggregateCluster:    \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs:      \"totalJobs\",\n\tmodel.SortByAggregateTotalusers:     \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime:  \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes:     \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores:     \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs:      \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours:  \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n//   - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n//   - Single count: COUNT(job.id) when col is empty\n//   - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n//   - \"running\": Only jobs with job_state = 'running'\n//   - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n//   - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n//   - filter: Job filters to apply (cluster, user, time range, etc.)\n//   - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n//   - totalJobs: Count of jobs\n//   - totalUsers: Count of distinct users (always 0 when grouping by user)\n//   - totalWalltime: Sum of job durations in hours\n//   - totalNodes: Sum of nodes used across all jobs\n//   - totalNodeHours: Sum of (duration × num_nodes) in hours\n//   - totalCores: Sum of hardware threads used across all jobs\n//   - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n//   - totalAccs: Sum of accelerators used across all jobs\n//   - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n//   - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n//   - Grouped queries: Also select grouping column and user's display name from hpc_user table\n//   - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n//   - ctx: Context for security checks and cancellation\n//   - filter: Filters to apply (time range, cluster, job state, etc.)\n//   - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n//   - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n//   - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n//   - ID: The group identifier (username, project name, cluster name, etc.)\n//   - Name: Display name (for users, from hpc_user.name; empty for other groups)\n//   - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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\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\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\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\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\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\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\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\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\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\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\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\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\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\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n//   - metrics: List of metric names\n//   - filters: Job filters (should filter to running jobs only)\n//   - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n//   - Maximum 5000 jobs (returns nil if more jobs match)\n//   - Requires metric backend availability\n//   - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n//  1. Query first 5001 jobs to check count limit\n//  2. Load metric averages for all jobs via metricdispatch\n//  3. For each metric, create bins based on peak value\n//  4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":921,"oldLines":16,"newStart":921,"newLines":14,"lines":["   // Special case: value == peak would create bin N+1, so we test for equality","   // and multiply peak by 0.999999999 to force it into bin N.","   binQuery := fmt.Sprintf(`CAST(","-    ((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)","+    ((case when json_extract(footprint, '$.%s') = %f then %f*0.999999999 else json_extract(footprint, '$.%s') end) / %f)","     * %v as INTEGER )`,","     (metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)"," ","   mainQuery := sq.Select(","     fmt.Sprintf(`%s + 1 as bin`, binQuery),","     `count(*) as count`,","-  ).From(\"job\").Where(","-    \"JSON_VALID(footprint)\",","-  ).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))","+  ).From(\"job\").Where(fmt.Sprintf(`json_extract(footprint, '$.%s') is not null and json_extract(footprint, '$.%s') <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))"," ","   mainQuery, qerr := SecurityCheck(ctx, mainQuery)","   if qerr != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d192d8b5-d871-47c2-bbfa-cd95c782d585"}
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