diff --git a/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/context.md b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/context.md new file mode 100644 index 00000000..44646740 --- /dev/null +++ b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/context.md @@ -0,0 +1,29 @@ +# Session Context + +Session ID: 28147033-ddc8-4056-b064-e0558fbc614e +Commit Message: There are memory leaks in production on queries that trigger a full scan + +## Prompts + +### Prompt 1 + +There are memory leaks in production on queries that trigger a full scan. Review all queries for missing close and other bugs that could cause memory leaks in the sqlite-3 driver. Example for a query that triggers a massive allocation is a specific jobstate list with sorting on start_time on all jobs. + +## Summary + +All 31 `.Query()` calls now have proper `rows.Close()`. Build passes, tests pass, vet clean. + +### Summary of changes + +**`internal/repository/stats.go`** (7 fixes + 1 rewrite): +- Added `defer rows.Close()` + `rows.Err()` to `JobsStatsGrouped`, `JobCountGrouped`, `AddJobCountGrouped`, `jobsStatisticsHistogram`, `jobsDurationStatisticsHistogram`, `jobsMetricStatisticsHistogram` +- Rewrote `AddJobCount` to use `QueryRow()` instead of `Query()` (single-row result) + +**`internal/repository/tags.go`** (5 fixes): +- Added `defer xrows.Close()` + `xrows.Err()` for `Queryx` in `CountTags` +- Added `defer rows.Close()` for second query in `CountTags` +- Added `defer rows.Close()` + `rows.Err()` to `GetTags`, `GetTagsDirect`, `getArchiveTags` + +**`internal/repository/node.go`** (4 fixes + 1 rewrite): +- Added `defer rows.Close()` + `rows.Err()`, removed manual `rows.Close()` in `QueryNodes`, `QueryNodesWithMeta`, `CountStatesTimed` +- Rewrote `CountStates` to use `COUNT(*) ... GROUP BY` in SQL instead of fetching every row and counting in Go diff --git a/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/full.jsonl b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/full.jsonl new file mode 100644 index 00000000..a1e72da0 --- /dev/null +++ b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/full.jsonl @@ -0,0 +1,242 @@ +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"entire hooks claude-code session-start"},"parentToolUseID":"1b77c50e-277f-417a-8062-00a1502ea4a8","toolUseID":"1b77c50e-277f-417a-8062-00a1502ea4a8","timestamp":"2026-03-10T20:13:26.713Z","uuid":"4ae33291-06c8-4546-bbb5-0f6bc2c36557"} +{"type":"file-history-snapshot","messageId":"d755e0bc-fc92-444f-9ffd-17746f2c89b8","snapshot":{"messageId":"d755e0bc-fc92-444f-9ffd-17746f2c89b8","trackedFileBackups":{},"timestamp":"2026-03-10T20:15:59.248Z"},"isSnapshotUpdate":false} +{"parentUuid":"4ae33291-06c8-4546-bbb5-0f6bc2c36557","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"There are memory leaks in production on queries that trigger a full scan. Review all queries for missing close and other bugs that could cause memory leaks in the sqlite-3 driver. 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t}\n 43→\n 44→\tfor _, pragma := range pragmas {\n 45→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 46→\t\tif err != nil {\n 47→\t\t\treturn err\n 48→\t\t}\n 49→\t}\n 50→\n 51→\treturn nil\n 52→}\n 53→\n 54→func Connect(db string) {\n 55→\tvar err error\n 56→\tvar dbHandle *sqlx.DB\n 57→\n 58→\tdbConnOnce.Do(func() {\n 59→\t\topts := DatabaseOptions{\n 60→\t\t\tURL: db,\n 61→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 62→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 63→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 64→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 65→\t\t}\n 66→\n 67→\t\t// TODO: Have separate DB handles for Writes and Reads\n 68→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 69→\t\tconnectionURLParams := make(url.Values)\n 70→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 71→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 72→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 73→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 74→\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n 75→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 76→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 77→\n 78→\t\tif cclog.Loglevel() == \"debug\" {\n 79→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 80→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 81→\t\t} else {\n 82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 83→\t\t}\n 84→\n 85→\t\tif err != nil {\n 86→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 87→\t\t}\n 88→\n 89→\t\terr = setupSqlite(dbHandle.DB)\n 90→\t\tif err != nil {\n 91→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 92→\t\t}\n 93→\n 94→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 95→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 96→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 97→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 98→\n 99→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 100→\t\terr = checkDBVersion(dbHandle.DB)\n 101→\t\tif err != nil {\n 102→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 103→\t\t}\n 104→\t})\n 105→}\n 106→\n 107→func GetConnection() *DBConnection {\n 108→\tif dbConnInstance == nil {\n 109→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 110→\t}\n 111→\n 112→\treturn dbConnInstance\n 113→}\n 114→\n 115→// ResetConnection closes the current database connection and resets the connection state.\n 116→// This function is intended for testing purposes only to allow test isolation.\n 117→func ResetConnection() error {\n 118→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 119→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 120→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 121→\t\t}\n 122→\t}\n 123→\n 124→\tdbConnInstance = nil\n 125→\tdbConnOnce = sync.Once{}\n 126→\tjobRepoInstance = nil\n 127→\tjobRepoOnce = sync.Once{}\n 128→\tnodeRepoInstance = nil\n 129→\tnodeRepoOnce = sync.Once{}\n 130→\tuserRepoInstance = nil\n 131→\tuserRepoOnce = sync.Once{}\n 132→\tuserCfgRepoInstance = nil\n 133→\tuserCfgRepoOnce = sync.Once{}\n 134→\n 135→\treturn nil\n 136→}\n 137→"}]},"uuid":"69adc789-6591-47b1-b248-e92b87c58bc3","timestamp":"2026-03-10T20:16:19.063Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"7eec8d78-ac24-459f-83b3-8bdf737f37ee","timestamp":"2026-03-10T20:16:19.295Z"} +{"parentUuid":"7eec8d78-ac24-459f-83b3-8bdf737f37ee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:19.297Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JUr4esdN5evmWqNoY7KCAf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WrwQfJuYuXUERAZixdLw5c","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":490,"cache_read_input_tokens":17564,"cache_creation":{"ephemeral_5m_input_tokens":490,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1osEGovt2yaybGiYLK","uuid":"7aac15c9-2265-4aab-bac0-c56591bc4b9b"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"c26fcfa4-92b1-40c1-b750-c6631c23d7a6","timestamp":"2026-03-10T20:16:19.298Z"} +{"parentUuid":"c26fcfa4-92b1-40c1-b750-c6631c23d7a6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:19.504Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JUr4esdN5evmWqNoY7KCAf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CCfvHG18q3NzaDT26z5J7f","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":490,"cache_read_input_tokens":17564,"cache_creation":{"ephemeral_5m_input_tokens":490,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1osEGovt2yaybGiYLK","uuid":"a5b6fd51-fba2-4a95-b6df-685e53e5ee1a"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"6350b31c-c34f-482c-9050-3b40166add26","timestamp":"2026-03-10T20:16:19.505Z"} +{"parentUuid":"6350b31c-c34f-482c-9050-3b40166add26","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CCfvHG18q3NzaDT26z5J7f","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"d016b4b7-a03a-45f4-9ce3-0e2c446da922","timestamp":"2026-03-10T20:16:19.523Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"720a3968-4ffc-4a3d-826f-0e5a9c7b3821","timestamp":"2026-03-10T20:16:19.530Z"} +{"parentUuid":"720a3968-4ffc-4a3d-826f-0e5a9c7b3821","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:19.556Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JUr4esdN5evmWqNoY7KCAf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MRCwhbagPC4We4TtkX4tTq","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":490,"cache_read_input_tokens":17564,"cache_creation":{"ephemeral_5m_input_tokens":490,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1osEGovt2yaybGiYLK","uuid":"a8339458-409f-4d36-9811-a8f1a0c49d8d"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"81ce5d73-ef4f-4e79-a17d-49c586f8707c","timestamp":"2026-03-10T20:16:19.556Z"} +{"parentUuid":"81ce5d73-ef4f-4e79-a17d-49c586f8707c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MRCwhbagPC4We4TtkX4tTq","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→\n 215→"}]},"uuid":"6d4531e3-607b-42cf-af1c-cd9eb5f15dad","timestamp":"2026-03-10T20:16:19.560Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"0bdf1774-08cf-4d7d-8753-67902a6986f2","timestamp":"2026-03-10T20:16:19.568Z"} +{"parentUuid":"0bdf1774-08cf-4d7d-8753-67902a6986f2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WrwQfJuYuXUERAZixdLw5c","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e/tool-results/toolu_01WrwQfJuYuXUERAZixdLw5c.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"7bb864d7-8743-4b15-8a0c-38a1b1b99162","timestamp":"2026-03-10T20:16:19.613Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"31a31eba-0dce-4003-a671-74cf6634ede8","timestamp":"2026-03-10T20:16:19.614Z"} +{"parentUuid":"31a31eba-0dce-4003-a671-74cf6634ede8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:21.437Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01B9wPJXWf94iDiRFqm1GrCs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiJgw4h6dqc3k7FcuT8tPf","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":8585,"cache_creation_input_tokens":2977,"cache_read_input_tokens":18054,"cache_creation":{"ephemeral_5m_input_tokens":2977,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1p4XRU1wkNLm25XM7P","uuid":"f1da0197-36b0-407f-be86-f8967b3dee3b"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"ab376416-8191-4570-b1a4-9b437b2bf294","timestamp":"2026-03-10T20:16:21.437Z"} +{"parentUuid":"ab376416-8191-4570-b1a4-9b437b2bf294","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiJgw4h6dqc3k7FcuT8tPf","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 a BETWEEN clause for integer range filters.\n 280→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 281→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 282→\tif cond.From != 0 && cond.To != 0 {\n 283→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 284→\t} else if cond.From != 0 {\n 285→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 286→\t} else if cond.To != 0 {\n 287→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 288→\t} else {\n 289→\t\treturn query\n 290→\t}\n 291→}\n 292→\n 293→// buildFloatCondition creates a BETWEEN clause for float range filters.\n 294→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 295→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 296→\tif cond.From != 0.0 && cond.To != 0.0 {\n 297→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 298→\t} else if cond.From != 0.0 {\n 299→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 300→\t} else if cond.To != 0.0 {\n 301→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 302→\t} else {\n 303→\t\treturn query\n 304→\t}\n 305→}\n 306→\n 307→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 308→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 309→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 310→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 311→\tif cond.From != nil && cond.To != nil {\n 312→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 313→\t} else if cond.From != nil {\n 314→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 315→\t} else if cond.To != nil {\n 316→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 317→\t} else if cond.Range != \"\" {\n 318→\t\tnow := time.Now().Unix()\n 319→\t\tvar then int64\n 320→\t\tswitch cond.Range {\n 321→\t\tcase \"last6h\":\n 322→\t\t\tthen = now - (60 * 60 * 6)\n 323→\t\tcase \"last24h\":\n 324→\t\t\tthen = now - (60 * 60 * 24)\n 325→\t\tcase \"last7d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 327→\t\tcase \"last30d\":\n 328→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 329→\t\tdefault:\n 330→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 331→\t\t\treturn query\n 332→\t\t}\n 333→\t\treturn query.Where(field+\" >= ?\", then)\n 334→\t} else {\n 335→\t\treturn query\n 336→\t}\n 337→}\n 338→\n 339→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column.\n 340→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 341→func buildFloatJSONCondition(condName string, condRange *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 342→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 343→\tif condRange.From != 0.0 && condRange.To != 0.0 {\n 344→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") BETWEEN ? AND ?\", condRange.From, condRange.To)\n 345→\t} else if condRange.From != 0.0 {\n 346→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") >= ?\", condRange.From)\n 347→\t} else if condRange.To != 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") <= ?\", condRange.To)\n 349→\t} else {\n 350→\t\treturn query\n 351→\t}\n 352→}\n 353→\n 354→// buildStringCondition creates filters for string fields supporting equality,\n 355→// inequality, prefix, suffix, substring, and IN list matching.\n 356→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 357→\tif cond.Eq != nil {\n 358→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 359→\t}\n 360→\tif cond.Neq != nil {\n 361→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 362→\t}\n 363→\tif cond.StartsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 365→\t}\n 366→\tif cond.EndsWith != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 368→\t}\n 369→\tif cond.Contains != nil {\n 370→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 371→\t}\n 372→\tif cond.In != nil {\n 373→\t\tqueryElements := make([]string, len(cond.In))\n 374→\t\tcopy(queryElements, cond.In)\n 375→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 376→\t}\n 377→\treturn query\n 378→}\n 379→\n 380→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 381→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 382→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 383→\tif cond.Eq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 385→\t}\n 386→\tif cond.Neq != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 388→\t}\n 389→\tif cond.StartsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 391→\t}\n 392→\tif cond.EndsWith != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 394→\t}\n 395→\tif cond.Contains != nil {\n 396→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 397→\t}\n 398→\treturn query\n 399→}\n 400→\n 401→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 402→// Uses json_each to search within array elements.\n 403→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 404→\tquery = query.Where(\"JSON_VALID(resources)\")\n 405→\tif cond.Eq != nil {\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 407→\t}\n 408→\tif cond.Neq != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 410→\t}\n 411→\tif cond.StartsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 413→\t}\n 414→\tif cond.EndsWith != nil { // Currently Unused\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 416→\t}\n 417→\tif cond.Contains != nil {\n 418→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 419→\t}\n 420→\treturn query\n 421→}\n 422→\n 423→var (\n 424→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 425→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 426→)\n 427→\n 428→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 429→// Includes security checks to prevent SQL injection attempts.\n 430→// Panics if potentially dangerous characters are detected.\n 431→func toSnakeCase(str string) string {\n 432→\tfor _, c := range str {\n 433→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 434→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 435→\t\t}\n 436→\t}\n 437→\n 438→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 439→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 440→\treturn strings.ToLower(snake)\n 441→}\n 442→"}]},"uuid":"dbccf3bd-c44c-44bf-ae8d-9075de81b586","timestamp":"2026-03-10T20:16:21.443Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"33951149-40c6-4ac6-b573-005266671331","timestamp":"2026-03-10T20:16:21.673Z"} +{"parentUuid":"33951149-40c6-4ac6-b573-005266671331","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:21.675Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01B9wPJXWf94iDiRFqm1GrCs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YXwY6NxPay42gVnhoL8xWq","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":8585,"cache_creation_input_tokens":2977,"cache_read_input_tokens":18054,"cache_creation":{"ephemeral_5m_input_tokens":2977,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1p4XRU1wkNLm25XM7P","uuid":"580f4c10-f1ab-4508-affe-bad8147528c3"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"a8a868a0-8e46-432c-be12-80707c79b0d2","timestamp":"2026-03-10T20:16:21.676Z"} +{"parentUuid":"a8a868a0-8e46-432c-be12-80707c79b0d2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YXwY6NxPay42gVnhoL8xWq","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\n 239→\tstats := make([]*model.JobsStatistics, 0, 100)\n 240→\n 241→\tfor rows.Next() {\n 242→\t\tvar id sql.NullString\n 243→\t\tvar name sql.NullString\n 244→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 245→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 246→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 247→\t\t\treturn nil, err\n 248→\t\t}\n 249→\n 250→\t\tif id.Valid {\n 251→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 252→\t\t\tvar personName string\n 253→\n 254→\t\t\tif name.Valid {\n 255→\t\t\t\tpersonName = name.String\n 256→\t\t\t}\n 257→\n 258→\t\t\tif jobs.Valid {\n 259→\t\t\t\ttotalJobs = int(jobs.Int64)\n 260→\t\t\t}\n 261→\n 262→\t\t\tif users.Valid {\n 263→\t\t\t\ttotalUsers = int(users.Int64)\n 264→\t\t\t}\n 265→\n 266→\t\t\tif walltime.Valid {\n 267→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 268→\t\t\t}\n 269→\n 270→\t\t\tif nodes.Valid {\n 271→\t\t\t\ttotalNodes = int(nodes.Int64)\n 272→\t\t\t}\n 273→\t\t\tif cores.Valid {\n 274→\t\t\t\ttotalCores = int(cores.Int64)\n 275→\t\t\t}\n 276→\t\t\tif accs.Valid {\n 277→\t\t\t\ttotalAccs = int(accs.Int64)\n 278→\t\t\t}\n 279→\n 280→\t\t\tif nodeHours.Valid {\n 281→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 282→\t\t\t}\n 283→\t\t\tif coreHours.Valid {\n 284→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 285→\t\t\t}\n 286→\t\t\tif accHours.Valid {\n 287→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 288→\t\t\t}\n 289→\n 290→\t\t\tif col == \"job.hpc_user\" {\n 291→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 292→\t\t\t\tstats = append(stats,\n 293→\t\t\t\t\t&model.JobsStatistics{\n 294→\t\t\t\t\t\tID: id.String,\n 295→\t\t\t\t\t\tName: personName,\n 296→\t\t\t\t\t\tTotalJobs: totalJobs,\n 297→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 298→\t\t\t\t\t\tTotalNodes: totalNodes,\n 299→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 300→\t\t\t\t\t\tTotalCores: totalCores,\n 301→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 302→\t\t\t\t\t\tTotalAccs: totalAccs,\n 303→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 304→\t\t\t\t\t})\n 305→\t\t\t} else {\n 306→\t\t\t\tstats = append(stats,\n 307→\t\t\t\t\t&model.JobsStatistics{\n 308→\t\t\t\t\t\tID: id.String,\n 309→\t\t\t\t\t\tTotalJobs: totalJobs,\n 310→\t\t\t\t\t\tTotalUsers: totalUsers,\n 311→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 312→\t\t\t\t\t\tTotalNodes: totalNodes,\n 313→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 314→\t\t\t\t\t\tTotalCores: totalCores,\n 315→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 316→\t\t\t\t\t\tTotalAccs: totalAccs,\n 317→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 318→\t\t\t\t\t})\n 319→\t\t\t}\n 320→\t\t}\n 321→\t}\n 322→\n 323→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 324→\treturn stats, nil\n 325→}\n 326→\n 327→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 328→//\n 329→// This method provides a single aggregate view of job metrics, useful for dashboard\n 330→// summaries and overall system utilization reports.\n 331→//\n 332→// Parameters:\n 333→// - ctx: Context for security checks and cancellation\n 334→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 335→//\n 336→// Returns a single-element slice containing aggregate statistics:\n 337→// - totalJobs, totalUsers, totalWalltime\n 338→// - totalNodeHours, totalCoreHours, totalAccHours\n 339→//\n 340→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 341→// Security checks are applied via SecurityCheck to respect user access levels.\n 342→func (r *JobRepository) JobsStats(\n 343→\tctx context.Context,\n 344→\tfilter []*model.JobFilter,\n 345→) ([]*model.JobsStatistics, error) {\n 346→\tstart := time.Now()\n 347→\tquery := r.buildStatsQuery(filter, \"\")\n 348→\tquery, err := SecurityCheck(ctx, query)\n 349→\tif err != nil {\n 350→\t\treturn nil, err\n 351→\t}\n 352→\n 353→\trow := query.RunWith(r.DB).QueryRow()\n 354→\tstats := make([]*model.JobsStatistics, 0, 1)\n 355→\n 356→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 357→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 358→\t\tcclog.Warn(\"Error while scanning rows\")\n 359→\t\treturn nil, err\n 360→\t}\n 361→\n 362→\tif jobs.Valid {\n 363→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 364→\n 365→\t\tif nodeHours.Valid {\n 366→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 367→\t\t}\n 368→\t\tif coreHours.Valid {\n 369→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 370→\t\t}\n 371→\t\tif accHours.Valid {\n 372→\t\t\ttotalAccHours = int(accHours.Int64)\n 373→\t\t}\n 374→\t\tstats = append(stats,\n 375→\t\t\t&model.JobsStatistics{\n 376→\t\t\t\tTotalJobs: int(jobs.Int64),\n 377→\t\t\t\tTotalUsers: int(users.Int64),\n 378→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 379→\t\t\t\tTotalNodeHours: totalNodeHours,\n 380→\t\t\t\tTotalCoreHours: totalCoreHours,\n 381→\t\t\t\tTotalAccHours: totalAccHours,\n 382→\t\t\t})\n 383→\t}\n 384→\n 385→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 386→\treturn stats, nil\n 387→}\n 388→\n 389→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 390→// Returns 0.0 if the metric is not found or statType is invalid.\n 391→//\n 392→// Parameters:\n 393→// - job: Job struct with populated Statistics field\n 394→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 395→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 396→//\n 397→// Returns the requested statistic value or 0.0 if not found.\n 398→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 399→\tif stats, ok := job.Statistics[metric]; ok {\n 400→\t\tswitch statType {\n 401→\t\tcase \"avg\":\n 402→\t\t\treturn stats.Avg\n 403→\t\tcase \"max\":\n 404→\t\t\treturn stats.Max\n 405→\t\tcase \"min\":\n 406→\t\t\treturn stats.Min\n 407→\t\tdefault:\n 408→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 409→\t\t}\n 410→\t}\n 411→\n 412→\treturn 0.0\n 413→}\n 414→\n 415→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 416→//\n 417→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 418→// avoiding the overhead of calculating walltime and resource usage metrics.\n 419→//\n 420→// Parameters:\n 421→// - ctx: Context for security checks\n 422→// - filter: Filters to apply\n 423→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 424→//\n 425→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 426→func (r *JobRepository) JobCountGrouped(\n 427→\tctx context.Context,\n 428→\tfilter []*model.JobFilter,\n 429→\tgroupBy *model.Aggregate,\n 430→) ([]*model.JobsStatistics, error) {\n 431→\tstart := time.Now()\n 432→\tcol := groupBy2column[*groupBy]\n 433→\tquery := r.buildCountQuery(filter, \"\", col)\n 434→\tquery, err := SecurityCheck(ctx, query)\n 435→\tif err != nil {\n 436→\t\treturn nil, err\n 437→\t}\n 438→\trows, err := query.RunWith(r.DB).Query()\n 439→\tif err != nil {\n 440→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 441→\t\treturn nil, err\n 442→\t}\n 443→\n 444→\tstats := make([]*model.JobsStatistics, 0, 100)\n 445→\n 446→\tfor rows.Next() {\n 447→\t\tvar id sql.NullString\n 448→\t\tvar cnt sql.NullInt64\n 449→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 450→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 451→\t\t\treturn nil, err\n 452→\t\t}\n 453→\t\tif id.Valid {\n 454→\t\t\tstats = append(stats,\n 455→\t\t\t\t&model.JobsStatistics{\n 456→\t\t\t\t\tID: id.String,\n 457→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 458→\t\t\t\t})\n 459→\t\t}\n 460→\t}\n 461→\n 462→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 463→\treturn stats, nil\n 464→}\n 465→\n 466→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 467→//\n 468→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 469→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 470→//\n 471→// Parameters:\n 472→// - ctx: Context for security checks\n 473→// - filter: Filters to apply\n 474→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 475→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 476→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 477→//\n 478→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 479→// Groups without matching jobs will have 0 for the added field.\n 480→func (r *JobRepository) AddJobCountGrouped(\n 481→\tctx context.Context,\n 482→\tfilter []*model.JobFilter,\n 483→\tgroupBy *model.Aggregate,\n 484→\tstats []*model.JobsStatistics,\n 485→\tkind string,\n 486→) ([]*model.JobsStatistics, error) {\n 487→\tstart := time.Now()\n 488→\tcol := groupBy2column[*groupBy]\n 489→\tquery := r.buildCountQuery(filter, kind, col)\n 490→\tquery, err := SecurityCheck(ctx, query)\n 491→\tif err != nil {\n 492→\t\treturn nil, err\n 493→\t}\n 494→\trows, err := query.RunWith(r.DB).Query()\n 495→\tif err != nil {\n 496→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 497→\t\treturn nil, err\n 498→\t}\n 499→\n 500→\tcounts := make(map[string]int)\n 501→\n 502→\tfor rows.Next() {\n 503→\t\tvar id sql.NullString\n 504→\t\tvar cnt sql.NullInt64\n 505→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 506→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 507→\t\t\treturn nil, err\n 508→\t\t}\n 509→\t\tif id.Valid {\n 510→\t\t\tcounts[id.String] = int(cnt.Int64)\n 511→\t\t}\n 512→\t}\n 513→\n 514→\tswitch kind {\n 515→\tcase \"running\":\n 516→\t\tfor _, s := range stats {\n 517→\t\t\ts.RunningJobs = counts[s.ID]\n 518→\t\t}\n 519→\tcase \"short\":\n 520→\t\tfor _, s := range stats {\n 521→\t\t\ts.ShortJobs = counts[s.ID]\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 526→\treturn stats, nil\n 527→}\n 528→\n 529→// AddJobCount augments existing overall statistics with additional job counts by category.\n 530→//\n 531→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 532→// to all statistics entries (typically just one).\n 533→//\n 534→// Parameters:\n 535→// - ctx: Context for security checks\n 536→// - filter: Filters to apply\n 537→// - stats: Existing statistics to augment (modified in-place)\n 538→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 539→//\n 540→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 541→func (r *JobRepository) AddJobCount(\n 542→\tctx context.Context,\n 543→\tfilter []*model.JobFilter,\n 544→\tstats []*model.JobsStatistics,\n 545→\tkind string,\n 546→) ([]*model.JobsStatistics, error) {\n 547→\tstart := time.Now()\n 548→\tquery := r.buildCountQuery(filter, kind, \"\")\n 549→\tquery, err := SecurityCheck(ctx, query)\n 550→\tif err != nil {\n 551→\t\treturn nil, err\n 552→\t}\n 553→\trows, err := query.RunWith(r.DB).Query()\n 554→\tif err != nil {\n 555→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 556→\t\treturn nil, err\n 557→\t}\n 558→\n 559→\tvar count int\n 560→\n 561→\tfor rows.Next() {\n 562→\t\tvar cnt sql.NullInt64\n 563→\t\tif err := rows.Scan(&cnt); err != nil {\n 564→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\n 568→\t\tcount = int(cnt.Int64)\n 569→\t}\n 570→\n 571→\tswitch kind {\n 572→\tcase \"running\":\n 573→\t\tfor _, s := range stats {\n 574→\t\t\ts.RunningJobs = count\n 575→\t\t}\n 576→\tcase \"short\":\n 577→\t\tfor _, s := range stats {\n 578→\t\t\ts.ShortJobs = count\n 579→\t\t}\n 580→\t}\n 581→\n 582→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 583→\treturn stats, nil\n 584→}\n 585→\n 586→// AddHistograms augments statistics with distribution histograms for job properties.\n 587→//\n 588→// Generates histogram data for visualization of job duration, node count, core count,\n 589→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 590→// on the requested resolution.\n 591→//\n 592→// Parameters:\n 593→// - ctx: Context for security checks\n 594→// - filter: Filters to apply to jobs included in histograms\n 595→// - stat: Statistics struct to augment (modified in-place)\n 596→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 597→//\n 598→// Populates these fields in stat:\n 599→// - HistDuration: Job duration distribution (zero-padded bins)\n 600→// - HistNumNodes: Node count distribution\n 601→// - HistNumCores: Core (hwthread) count distribution\n 602→// - HistNumAccs: Accelerator count distribution\n 603→//\n 604→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 605→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 606→func (r *JobRepository) AddHistograms(\n 607→\tctx context.Context,\n 608→\tfilter []*model.JobFilter,\n 609→\tstat *model.JobsStatistics,\n 610→\tdurationBins *string,\n 611→) (*model.JobsStatistics, error) {\n 612→\tstart := time.Now()\n 613→\n 614→\tvar targetBinCount int\n 615→\tvar targetBinSize int\n 616→\tswitch *durationBins {\n 617→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 618→\t\ttargetBinCount = 60\n 619→\t\ttargetBinSize = 60\n 620→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 621→\t\ttargetBinCount = 72\n 622→\t\ttargetBinSize = 600\n 623→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 624→\t\ttargetBinCount = 48\n 625→\t\ttargetBinSize = 3600\n 626→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 627→\t\ttargetBinCount = 12\n 628→\t\ttargetBinSize = 21600\n 629→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 630→\t\ttargetBinCount = 14\n 631→\t\ttargetBinSize = 43200\n 632→\tdefault: // 24h\n 633→\t\ttargetBinCount = 24\n 634→\t\ttargetBinSize = 3600\n 635→\t}\n 636→\n 637→\tvar err error\n 638→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 639→\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 640→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 641→\tif err != nil {\n 642→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 643→\t\treturn nil, err\n 644→\t}\n 645→\n 646→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 647→\tif err != nil {\n 648→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 649→\t\treturn nil, err\n 650→\t}\n 651→\n 652→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 653→\tif err != nil {\n 654→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 655→\t\treturn nil, err\n 656→\t}\n 657→\n 658→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 659→\tif err != nil {\n 660→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 661→\t\treturn nil, err\n 662→\t}\n 663→\n 664→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 665→\treturn stat, nil\n 666→}\n 667→\n 668→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 669→//\n 670→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 671→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 672→// use footprint data from database.\n 673→//\n 674→// Parameters:\n 675→// - ctx: Context for security checks\n 676→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 677→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 678→// - stat: Statistics struct to augment (modified in-place)\n 679→// - targetBinCount: Number of histogram bins (default: 10)\n 680→//\n 681→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 682→//\n 683→// Binning algorithm:\n 684→// - Values normalized to metric's peak value from cluster configuration\n 685→// - Bins evenly distributed from 0 to peak\n 686→// - Pre-initialized with zeros for consistent visualization\n 687→//\n 688→// Limitations:\n 689→// - Running jobs: Limited to 5000 jobs for performance\n 690→// - Requires valid cluster configuration with metric peak values\n 691→// - Uses footprint statistic (avg/max/min) configured per metric\n 692→func (r *JobRepository) AddMetricHistograms(\n 693→\tctx context.Context,\n 694→\tfilter []*model.JobFilter,\n 695→\tmetrics []string,\n 696→\tstat *model.JobsStatistics,\n 697→\ttargetBinCount *int,\n 698→) (*model.JobsStatistics, error) {\n 699→\tstart := time.Now()\n 700→\n 701→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 702→\tfor _, f := range filter {\n 703→\t\tif f.State != nil {\n 704→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 705→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 706→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 707→\t\t\t\treturn stat, nil\n 708→\t\t\t}\n 709→\t\t}\n 710→\t}\n 711→\n 712→\t// All other cases: Query and make bins in sqlite directly\n 713→\tfor _, m := range metrics {\n 714→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 715→\t\tif err != nil {\n 716→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 717→\t\t\tcontinue\n 718→\t\t}\n 719→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 720→\t}\n 721→\n 722→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 723→\treturn stat, nil\n 724→}\n 725→\n 726→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 727→//\n 728→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 729→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 730→//\n 731→// Parameters:\n 732→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 733→// - filters: Job filters to apply\n 734→//\n 735→// Returns histogram points with Value (from column) and Count (number of jobs).\n 736→func (r *JobRepository) jobsStatisticsHistogram(\n 737→\tctx context.Context,\n 738→\tvalue string,\n 739→\tfilters []*model.JobFilter,\n 740→) ([]*model.HistoPoint, error) {\n 741→\tstart := time.Now()\n 742→\tquery, qerr := SecurityCheck(ctx,\n 743→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 744→\n 745→\tif qerr != nil {\n 746→\t\treturn nil, qerr\n 747→\t}\n 748→\n 749→\tfor _, f := range filters {\n 750→\t\tquery = BuildWhereClause(f, query)\n 751→\t}\n 752→\n 753→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 754→\tif err != nil {\n 755→\t\tcclog.Error(\"Error while running query\")\n 756→\t\treturn nil, err\n 757→\t}\n 758→\n 759→\tpoints := make([]*model.HistoPoint, 0)\n 760→\t// is it possible to introduce zero values here? requires info about bincount\n 761→\tfor rows.Next() {\n 762→\t\tpoint := model.HistoPoint{}\n 763→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 764→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 765→\t\t\treturn nil, err\n 766→\t\t}\n 767→\n 768→\t\tpoints = append(points, &point)\n 769→\t}\n 770→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 771→\treturn points, nil\n 772→}\n 773→\n 774→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 775→//\n 776→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 777→// histograms which only return bins with data. The value parameter should compute\n 778→// the bin number from job duration.\n 779→//\n 780→// Parameters:\n 781→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 782→// - filters: Job filters to apply\n 783→// - binSizeSeconds: Width of each bin in seconds\n 784→// - targetBinCount: Number of bins to pre-initialize\n 785→//\n 786→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 787→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 788→//\n 789→// Algorithm:\n 790→// 1. Pre-initialize targetBinCount bins with zero counts\n 791→// 2. Query database for actual counts per bin\n 792→// 3. Match query results to pre-initialized bins by value\n 793→// 4. Bins without matches remain at zero\n 794→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 795→\tctx context.Context,\n 796→\tvalue string,\n 797→\tfilters []*model.JobFilter,\n 798→\tbinSizeSeconds int,\n 799→\ttargetBinCount *int,\n 800→) ([]*model.HistoPoint, error) {\n 801→\tstart := time.Now()\n 802→\tquery, qerr := SecurityCheck(ctx,\n 803→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 804→\n 805→\tif qerr != nil {\n 806→\t\treturn nil, qerr\n 807→\t}\n 808→\n 809→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 810→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 811→\tpoints := make([]*model.HistoPoint, 0)\n 812→\tfor i := 1; i <= *targetBinCount; i++ {\n 813→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 814→\t\tpoints = append(points, &point)\n 815→\t}\n 816→\n 817→\tfor _, f := range filters {\n 818→\t\tquery = BuildWhereClause(f, query)\n 819→\t}\n 820→\n 821→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 822→\tif err != nil {\n 823→\t\tcclog.Error(\"Error while running query\")\n 824→\t\treturn nil, err\n 825→\t}\n 826→\n 827→\t// Match query results to pre-initialized bins.\n 828→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 829→\tfor rows.Next() {\n 830→\t\tpoint := model.HistoPoint{}\n 831→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 832→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 833→\t\t\treturn nil, err\n 834→\t\t}\n 835→\n 836→\t\tfor _, e := range points {\n 837→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 838→\t\t\t\te.Count = point.Count\n 839→\t\t\t\tbreak\n 840→\t\t\t}\n 841→\t\t}\n 842→\t}\n 843→\n 844→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 845→\treturn points, nil\n 846→}\n 847→\n 848→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 849→//\n 850→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 851→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 852→// and computing bin assignments in SQL.\n 853→//\n 854→// Parameters:\n 855→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 856→// - filters: Job filters to apply\n 857→// - bins: Number of bins to generate\n 858→//\n 859→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 860→//\n 861→// Algorithm:\n 862→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 863→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 864→// 3. Pre-initialize bins with min/max ranges based on peak value\n 865→// 4. Query database for counts per bin\n 866→// 5. Match results to pre-initialized bins\n 867→//\n 868→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 869→// peak by 0.999999999 to avoid creating an extra bin.\n 870→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 871→\tctx context.Context,\n 872→\tmetric string,\n 873→\tfilters []*model.JobFilter,\n 874→\tbins *int,\n 875→) (*model.MetricHistoPoints, error) {\n 876→\t// Peak value defines the upper bound for binning: values are distributed across\n 877→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 878→\t// scan all clusters to find the maximum peak value.\n 879→\tvar metricConfig *schema.MetricConfig\n 880→\tvar peak float64\n 881→\tvar unit string\n 882→\tvar footprintStat string\n 883→\n 884→\t// Try to get metric config from filtered cluster\n 885→\tfor _, f := range filters {\n 886→\t\tif f.Cluster != nil {\n 887→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 888→\t\t\tpeak = metricConfig.Peak\n 889→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 890→\t\t\tfootprintStat = metricConfig.Footprint\n 891→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 892→\t\t}\n 893→\t}\n 894→\n 895→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 896→\t// This ensures histogram can accommodate all possible values\n 897→\tif peak == 0.0 {\n 898→\t\tfor _, c := range archive.Clusters {\n 899→\t\t\tfor _, m := range c.MetricConfig {\n 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}\n 960→\t\tpoints = append(points, &epoint)\n 961→\t}\n 962→\n 963→\t// Match query results to pre-initialized bins.\n 964→\tfor rows.Next() {\n 965→\t\trpoint := model.MetricHistoPoint{}\n 966→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 967→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 968→\t\t\treturn nil, err\n 969→\t\t}\n 970→\n 971→\t\tfor _, e := range points {\n 972→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 973→\t\t\t\te.Count = rpoint.Count\n 974→\t\t\t\tbreak\n 975→\t\t\t}\n 976→\t\t}\n 977→\t}\n 978→\n 979→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 980→\n 981→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 982→\treturn &result, nil\n 983→}\n 984→\n 985→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 986→//\n 987→// Unlike completed jobs which use footprint data from the database, running jobs require\n 988→// fetching current metric averages from the metric backend (via metricdispatch).\n 989→//\n 990→// Parameters:\n 991→// - metrics: List of metric names\n 992→// - filters: Job filters (should filter to running jobs only)\n 993→// - bins: Number of histogram bins\n 994→//\n 995→// Returns slice of MetricHistoPoints, one per metric.\n 996→//\n 997→// Limitations:\n 998→// - Maximum 5000 jobs (returns nil if more jobs match)\n 999→// - Requires metric backend availability\n 1000→// - Bins based on metric peak values from cluster configuration\n 1001→//\n 1002→// Algorithm:\n 1003→// 1. Query first 5001 jobs to check count limit\n 1004→// 2. Load metric averages for all jobs via metricdispatch\n 1005→// 3. For each metric, create bins based on peak value\n 1006→// 4. Iterate averages and count jobs per bin\n 1007→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1008→\tctx context.Context,\n 1009→\tmetrics []string,\n 1010→\tfilters []*model.JobFilter,\n 1011→\tbins *int,\n 1012→) []*model.MetricHistoPoints {\n 1013→\t// Get Jobs\n 1014→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1015→\tif err != nil {\n 1016→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1017→\t\treturn nil\n 1018→\t}\n 1019→\tif len(jobs) > 5000 {\n 1020→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1021→\t\treturn nil\n 1022→\t}\n 1023→\n 1024→\t// Get AVGs from metric repo\n 1025→\tavgs := make([][]schema.Float, len(metrics))\n 1026→\tfor i := range avgs {\n 1027→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1028→\t}\n 1029→\n 1030→\tfor _, job := range jobs {\n 1031→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1032→\t\t\tcontinue\n 1033→\t\t}\n 1034→\n 1035→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1036→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1037→\t\t\treturn nil\n 1038→\t\t}\n 1039→\t}\n 1040→\n 1041→\t// Iterate metrics to fill endresult\n 1042→\tdata := make([]*model.MetricHistoPoints, 0)\n 1043→\tfor idx, metric := range metrics {\n 1044→\t\t// Get specific Peak or largest Peak\n 1045→\t\tvar metricConfig *schema.MetricConfig\n 1046→\t\tvar peak float64\n 1047→\t\tvar unit string\n 1048→\n 1049→\t\tfor _, f := range filters {\n 1050→\t\t\tif f.Cluster != nil {\n 1051→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1052→\t\t\t\tpeak = metricConfig.Peak\n 1053→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1054→\t\t\t}\n 1055→\t\t}\n 1056→\n 1057→\t\tif peak == 0.0 {\n 1058→\t\t\tfor _, c := range archive.Clusters {\n 1059→\t\t\t\tfor _, m := range c.MetricConfig {\n 1060→\t\t\t\t\tif m.Name == metric {\n 1061→\t\t\t\t\t\tif m.Peak > peak {\n 1062→\t\t\t\t\t\t\tpeak = m.Peak\n 1063→\t\t\t\t\t\t}\n 1064→\t\t\t\t\t\tif unit == \"\" {\n 1065→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1066→\t\t\t\t\t\t}\n 1067→\t\t\t\t\t}\n 1068→\t\t\t\t}\n 1069→\t\t\t}\n 1070→\t\t}\n 1071→\n 1072→\t\t// Make and fill bins\n 1073→\t\tpeakBin := int(peak) / *bins\n 1074→\n 1075→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1076→\t\tfor b := 0; b < *bins; b++ {\n 1077→\t\t\tcount := 0\n 1078→\t\t\tbindex := b + 1\n 1079→\t\t\tbmin := peakBin * b\n 1080→\t\t\tbmax := peakBin * (b + 1)\n 1081→\n 1082→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1083→\t\t\tfor _, val := range avgs[idx] {\n 1084→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1085→\t\t\t\t\tcount += 1\n 1086→\t\t\t\t}\n 1087→\t\t\t}\n 1088→\n 1089→\t\t\t// Append Bin to Metric Result Array\n 1090→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1091→\t\t\tpoints = append(points, &point)\n 1092→\t\t}\n 1093→\n 1094→\t\t// Append Metric Result Array to final results array\n 1095→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1096→\t\tdata = append(data, &result)\n 1097→\t}\n 1098→\n 1099→\treturn data\n 1100→}\n 1101→"}]},"uuid":"0469ff13-402e-4f97-86aa-041fe7b76dde","timestamp":"2026-03-10T20:16:21.882Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"4bb6a705-9b39-4e38-83d9-195be7b4cf46","timestamp":"2026-03-10T20:16:22.412Z"} +{"parentUuid":"4bb6a705-9b39-4e38-83d9-195be7b4cf46","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:22.436Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01B9wPJXWf94iDiRFqm1GrCs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A7qqR1GQJpGJfqqmok9Bzb","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":8585,"cache_creation_input_tokens":2977,"cache_read_input_tokens":18054,"cache_creation":{"ephemeral_5m_input_tokens":2977,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1p4XRU1wkNLm25XM7P","uuid":"45cd85c5-37f1-4b93-9509-e10e300d678e"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"b6fca5ec-6dc4-4d61-af40-e9fed9cf82ac","timestamp":"2026-03-10T20:16:22.437Z"} +{"parentUuid":"b6fca5ec-6dc4-4d61-af40-e9fed9cf82ac","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A7qqR1GQJpGJfqqmok9Bzb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//\n 123→// Required fields: Username, Roles\n 124→// Optional fields: Name, Email, Password, Projects, AuthSource\n 125→func (r *UserRepository) AddUser(user *schema.User) error {\n 126→\trolesJson, _ := json.Marshal(user.Roles)\n 127→\tprojectsJson, _ := json.Marshal(user.Projects)\n 128→\n 129→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 130→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 131→\n 132→\tif user.Name != \"\" {\n 133→\t\tcols = append(cols, \"name\")\n 134→\t\tvals = append(vals, user.Name)\n 135→\t}\n 136→\tif user.Email != \"\" {\n 137→\t\tcols = append(cols, \"email\")\n 138→\t\tvals = append(vals, user.Email)\n 139→\t}\n 140→\tif user.Password != \"\" {\n 141→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 142→\t\tif err != nil {\n 143→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 144→\t\t\treturn err\n 145→\t\t}\n 146→\t\tcols = append(cols, \"password\")\n 147→\t\tvals = append(vals, string(password))\n 148→\t}\n 149→\tif user.AuthSource != -1 {\n 150→\t\tcols = append(cols, \"ldap\")\n 151→\t\tvals = append(vals, int(user.AuthSource))\n 152→\t}\n 153→\n 154→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 155→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 156→\t\treturn err\n 157→\t}\n 158→\n 159→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 160→\n 161→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 162→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 163→\tif err != nil {\n 164→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 165→\t} else if defaultMetricsCfg != nil {\n 166→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 167→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 168→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 169→\t\t\tif err != nil {\n 170→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 171→\t\t\t\tcontinue\n 172→\t\t\t}\n 173→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 174→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 175→\t\t\tif _, err := sq.Insert(\"configuration\").\n 176→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 177→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 178→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 180→\t\t\t} else {\n 181→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 182→\t\t\t}\n 183→\t\t}\n 184→\t}\n 185→\t// END DEPRECATION\n 186→\n 187→\treturn nil\n 188→}\n 189→\n 190→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 191→\t// user contains updated info -> Apply to dbUser\n 192→\t// --- Simple Name Update ---\n 193→\tif dbUser.Name != user.Name {\n 194→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 195→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 196→\t\t\treturn err\n 197→\t\t}\n 198→\t}\n 199→\n 200→\t// --- Def Helpers ---\n 201→\t// Helper to update roles\n 202→\tupdateRoles := func(roles []string) error {\n 203→\t\trolesJSON, _ := json.Marshal(roles)\n 204→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 205→\t\treturn err\n 206→\t}\n 207→\n 208→\t// Helper to update projects\n 209→\tupdateProjects := func(projects []string) error {\n 210→\t\tprojectsJSON, _ := json.Marshal(projects)\n 211→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 212→\t\treturn err\n 213→\t}\n 214→\n 215→\t// Helper to clear projects\n 216→\tclearProjects := func() error {\n 217→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 218→\t\treturn err\n 219→\t}\n 220→\n 221→\t// --- Manager Role Handling ---\n 222→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 223→\t\t// Existing Manager: update projects\n 224→\t\tif err := updateProjects(user.Projects); err != nil {\n 225→\t\t\treturn err\n 226→\t\t}\n 227→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 228→\t\t// New Manager: update roles and projects\n 229→\t\tif err := updateRoles(user.Roles); err != nil {\n 230→\t\t\treturn err\n 231→\t\t}\n 232→\t\tif err := updateProjects(user.Projects); err != nil {\n 233→\t\t\treturn err\n 234→\t\t}\n 235→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 236→\t\t// Remove Manager: update roles and clear projects\n 237→\t\tif err := updateRoles(user.Roles); err != nil {\n 238→\t\t\treturn err\n 239→\t\t}\n 240→\t\tif err := clearProjects(); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t}\n 244→\n 245→\t// --- Support Role Handling ---\n 246→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 247→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 248→\t\t// New Support: update roles\n 249→\t\tif err := updateRoles(user.Roles); err != nil {\n 250→\t\t\treturn err\n 251→\t\t}\n 252→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 253→\t\t// Remove Support: update roles\n 254→\t\tif err := updateRoles(user.Roles); err != nil {\n 255→\t\t\treturn err\n 256→\t\t}\n 257→\t}\n 258→\n 259→\treturn nil\n 260→}\n 261→\n 262→func (r *UserRepository) DelUser(username string) error {\n 263→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 264→\tif err != nil {\n 265→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 266→\t\treturn err\n 267→\t}\n 268→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 269→\treturn nil\n 270→}\n 271→\n 272→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 273→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 274→\tif specialsOnly {\n 275→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 276→\t}\n 277→\n 278→\trows, err := q.RunWith(r.DB).Query()\n 279→\tif err != nil {\n 280→\t\tcclog.Warn(\"Error while querying user list\")\n 281→\t\treturn nil, err\n 282→\t}\n 283→\n 284→\tusers := make([]*schema.User, 0)\n 285→\tdefer rows.Close()\n 286→\tfor rows.Next() {\n 287→\t\trawroles := \"\"\n 288→\t\trawprojects := \"\"\n 289→\t\tuser := &schema.User{}\n 290→\t\tvar name, email sql.NullString\n 291→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 292→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 293→\t\t\treturn nil, err\n 294→\t\t}\n 295→\n 296→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 297→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 298→\t\t\treturn nil, err\n 299→\t\t}\n 300→\n 301→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\n 305→\t\tuser.Name = name.String\n 306→\t\tuser.Email = email.String\n 307→\t\tusers = append(users, user)\n 308→\t}\n 309→\treturn users, nil\n 310→}\n 311→\n 312→// AddRole adds a role to a user's role list.\n 313→// Role string is automatically lowercased.\n 314→// Valid roles: admin, support, manager, api, user\n 315→//\n 316→// Returns error if:\n 317→// - User doesn't exist\n 318→// - Role is invalid\n 319→// - User already has the role\n 320→func (r *UserRepository) AddRole(\n 321→\tctx context.Context,\n 322→\tusername string,\n 323→\tqueryrole string,\n 324→) error {\n 325→\tnewRole := strings.ToLower(queryrole)\n 326→\tuser, err := r.GetUser(username)\n 327→\tif err != nil {\n 328→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 329→\t\treturn err\n 330→\t}\n 331→\n 332→\texists, valid := user.HasValidRole(newRole)\n 333→\n 334→\tif !valid {\n 335→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 336→\t}\n 337→\tif exists {\n 338→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 339→\t}\n 340→\n 341→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 342→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 343→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 344→\t\treturn err\n 345→\t}\n 346→\treturn nil\n 347→}\n 348→\n 349→// RemoveRole removes a role from a user's role list.\n 350→//\n 351→// Special rules:\n 352→// - Cannot remove \"manager\" role while user has assigned projects\n 353→// - Must remove all projects first before removing manager role\n 354→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 355→\toldRole := strings.ToLower(queryrole)\n 356→\tuser, err := r.GetUser(username)\n 357→\tif err != nil {\n 358→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\texists, valid := user.HasValidRole(oldRole)\n 363→\n 364→\tif !valid {\n 365→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 366→\t}\n 367→\tif !exists {\n 368→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 369→\t}\n 370→\n 371→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 372→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 373→\t}\n 374→\n 375→\tvar newroles []string\n 376→\tfor _, r := range user.Roles {\n 377→\t\tif r != oldRole {\n 378→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 379→\t\t}\n 380→\t}\n 381→\n 382→\tmroles, _ := json.Marshal(newroles)\n 383→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 384→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 385→\t\treturn err\n 386→\t}\n 387→\treturn nil\n 388→}\n 389→\n 390→// AddProject assigns a project to a manager user.\n 391→// Only users with the \"manager\" role can have assigned projects.\n 392→//\n 393→// Returns error if:\n 394→// - User doesn't have manager role\n 395→// - User already manages the project\n 396→func (r *UserRepository) AddProject(\n 397→\tctx context.Context,\n 398→\tusername string,\n 399→\tproject string,\n 400→) error {\n 401→\tuser, err := r.GetUser(username)\n 402→\tif err != nil {\n 403→\t\treturn err\n 404→\t}\n 405→\n 406→\tif !user.HasRole(schema.RoleManager) {\n 407→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 408→\t}\n 409→\n 410→\tif user.HasProject(project) {\n 411→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 412→\t}\n 413→\n 414→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 415→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 416→\t\treturn err\n 417→\t}\n 418→\n 419→\treturn nil\n 420→}\n 421→\n 422→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 423→\tuser, err := r.GetUser(username)\n 424→\tif err != nil {\n 425→\t\treturn err\n 426→\t}\n 427→\n 428→\tif !user.HasRole(schema.RoleManager) {\n 429→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 430→\t}\n 431→\n 432→\tif !user.HasProject(project) {\n 433→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 434→\t}\n 435→\n 436→\tvar exists bool\n 437→\tvar newprojects []string\n 438→\tfor _, p := range user.Projects {\n 439→\t\tif p != project {\n 440→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 441→\t\t} else {\n 442→\t\t\texists = true\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif exists {\n 447→\t\tvar result any\n 448→\t\tif len(newprojects) == 0 {\n 449→\t\t\tresult = \"[]\"\n 450→\t\t} else {\n 451→\t\t\tresult, _ = json.Marshal(newprojects)\n 452→\t\t}\n 453→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 454→\t\t\treturn err\n 455→\t\t}\n 456→\t\treturn nil\n 457→\t} else {\n 458→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 459→\t}\n 460→}\n 461→\n 462→type ContextKey string\n 463→\n 464→const ContextUserKey ContextKey = \"user\"\n 465→\n 466→func GetUserFromContext(ctx context.Context) *schema.User {\n 467→\tx := ctx.Value(ContextUserKey)\n 468→\tif x == nil {\n 469→\t\tcclog.Warnf(\"no user retrieved from context\")\n 470→\t\treturn nil\n 471→\t}\n 472→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 473→\treturn x.(*schema.User)\n 474→}\n 475→\n 476→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 477→\tme := GetUserFromContext(ctx)\n 478→\tif me != nil && me.Username != username &&\n 479→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 480→\t\treturn nil, errors.New(\"forbidden\")\n 481→\t}\n 482→\n 483→\tuser := &model.User{Username: username}\n 484→\tvar name, email sql.NullString\n 485→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 486→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 487→\t\tif err == sql.ErrNoRows {\n 488→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 489→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 490→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 491→\t\t\treturn nil, nil\n 492→\t\t}\n 493→\n 494→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 495→\t\treturn nil, err\n 496→\t}\n 497→\n 498→\tuser.Name = name.String\n 499→\tuser.Email = email.String\n 500→\treturn user, nil\n 501→}\n 502→"}]},"uuid":"5fb8cfb9-88b6-4fff-a888-dcd6b4ee1ddc","timestamp":"2026-03-10T20:16:22.441Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"e3d37822-c6d5-4010-b4aa-4ccec5caf6d7","timestamp":"2026-03-10T20:16:22.451Z"} +{"parentUuid":"e3d37822-c6d5-4010-b4aa-4ccec5caf6d7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:24.926Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019UWQiCZmY6Bgcs5CgypDFr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UtnK78RFgkibM3suLxEcZi","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38592,"cache_read_input_tokens":21031,"cache_creation":{"ephemeral_5m_input_tokens":38592,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1pGWFHube3kf4tG89t","uuid":"34daa48a-df57-4fd5-ab07-0369f60a4d01"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"99f55d02-cbf3-4f2f-ac68-ca04831161c9","timestamp":"2026-03-10T20:16:24.927Z"} +{"parentUuid":"99f55d02-cbf3-4f2f-ac68-ca04831161c9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UtnK78RFgkibM3suLxEcZi","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\n 370→\tnodes := make([]*schema.Node, 0)\n 371→\tfor rows.Next() {\n 372→\t\tnode := schema.Node{}\n 373→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 374→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 375→\t\t\trows.Close()\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\treturn nodes, nil\n 383→}\n 384→\n 385→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 386→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 387→func (r *NodeRepository) QueryNodesWithMeta(\n 388→\tctx context.Context,\n 389→\tfilters []*model.NodeFilter,\n 390→\tpage *model.PageRequest,\n 391→\torder *model.OrderByInput, // Currently unused!\n 392→) ([]*schema.Node, error) {\n 393→\tquery, qerr := AccessCheck(ctx,\n 394→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 395→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 396→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 397→\t\t\tFrom(\"node\").\n 398→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 399→\t\t\tWhere(latestStateCondition()))\n 400→\tif qerr != nil {\n 401→\t\treturn nil, qerr\n 402→\t}\n 403→\n 404→\tquery = applyNodeFilters(query, filters)\n 405→\tquery = query.OrderBy(\"node.hostname ASC\")\n 406→\n 407→\tif page != nil && page.ItemsPerPage != -1 {\n 408→\t\tlimit := uint64(page.ItemsPerPage)\n 409→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 410→\t}\n 411→\n 412→\trows, err := query.RunWith(r.stmtCache).Query()\n 413→\tif err != nil {\n 414→\t\tqueryString, queryVars, _ := query.ToSql()\n 415→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\tnodes := make([]*schema.Node, 0)\n 420→\tfor rows.Next() {\n 421→\t\tnode := schema.Node{}\n 422→\t\tRawMetaData := make([]byte, 0)\n 423→\t\tRawMetricHealth := make([]byte, 0)\n 424→\n 425→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 426→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 427→\t\t\trows.Close()\n 428→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 429→\t\t\treturn nil, err\n 430→\t\t}\n 431→\n 432→\t\tif len(RawMetaData) == 0 {\n 433→\t\t\tnode.MetaData = nil\n 434→\t\t} else {\n 435→\t\t\tmetaData := make(map[string]string)\n 436→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 437→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 438→\t\t\t\treturn nil, err\n 439→\t\t\t}\n 440→\t\t\tnode.MetaData = metaData\n 441→\t\t}\n 442→\n 443→\t\tif len(RawMetricHealth) == 0 {\n 444→\t\t\tnode.HealthData = nil\n 445→\t\t} else {\n 446→\t\t\thealthData := make(map[string][]string)\n 447→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 448→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 449→\t\t\t\treturn nil, err\n 450→\t\t\t}\n 451→\t\t\tnode.HealthData = healthData\n 452→\t\t}\n 453→\n 454→\t\tnodes = append(nodes, &node)\n 455→\t}\n 456→\n 457→\treturn nodes, nil\n 458→}\n 459→\n 460→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 461→// on the last state (largest timestamp) per node.\n 462→func (r *NodeRepository) CountNodes(\n 463→\tctx context.Context,\n 464→\tfilters []*model.NodeFilter,\n 465→) (int, error) {\n 466→\tquery, qerr := AccessCheck(ctx,\n 467→\t\tsq.Select(\"COUNT(*)\").\n 468→\t\t\tFrom(\"node\").\n 469→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 470→\t\t\tWhere(latestStateCondition()))\n 471→\tif qerr != nil {\n 472→\t\treturn 0, qerr\n 473→\t}\n 474→\n 475→\tquery = applyNodeFilters(query, filters)\n 476→\n 477→\tvar count int\n 478→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 479→\t\tqueryString, queryVars, _ := query.ToSql()\n 480→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 481→\t\treturn 0, err\n 482→\t}\n 483→\n 484→\treturn count, nil\n 485→}\n 486→\n 487→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 488→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 489→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 490→\t\tFrom(\"node\").\n 491→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 492→\t\tWhere(latestStateCondition()).\n 493→\t\tWhere(\"node.cluster = ?\", cluster).\n 494→\t\tOrderBy(\"node.hostname ASC\")\n 495→\n 496→\trows, err := q.RunWith(r.DB).Query()\n 497→\tif err != nil {\n 498→\t\tcclog.Warn(\"Error while querying node list\")\n 499→\t\treturn nil, err\n 500→\t}\n 501→\tnodeList := make([]*schema.Node, 0, 100)\n 502→\tdefer rows.Close()\n 503→\tfor rows.Next() {\n 504→\t\tnode := &schema.Node{}\n 505→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 506→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 507→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 508→\t\t\treturn nil, err\n 509→\t\t}\n 510→\n 511→\t\tnodeList = append(nodeList, node)\n 512→\t}\n 513→\n 514→\treturn nodeList, nil\n 515→}\n 516→\n 517→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 518→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 519→\t\tFrom(\"node\").\n 520→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 521→\t\tWhere(latestStateCondition()).\n 522→\t\tWhere(\"node.cluster = ?\", cluster).\n 523→\t\tOrderBy(\"node.hostname ASC\")\n 524→\n 525→\trows, err := q.RunWith(r.DB).Query()\n 526→\tif err != nil {\n 527→\t\tcclog.Warn(\"Error while querying node list\")\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tstateMap := make(map[string]string)\n 532→\tdefer rows.Close()\n 533→\tfor rows.Next() {\n 534→\t\tvar hostname, nodestate string\n 535→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 536→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 537→\t\t\treturn nil, err\n 538→\t\t}\n 539→\n 540→\t\tstateMap[hostname] = nodestate\n 541→\t}\n 542→\n 543→\treturn stateMap, nil\n 544→}\n 545→\n 546→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 547→\tquery, qerr := AccessCheck(ctx,\n 548→\t\tsq.Select(column).\n 549→\t\t\tFrom(\"node\").\n 550→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 551→\t\t\tWhere(latestStateCondition()))\n 552→\tif qerr != nil {\n 553→\t\treturn nil, qerr\n 554→\t}\n 555→\n 556→\tquery = applyNodeFilters(query, filters)\n 557→\n 558→\trows, err := query.RunWith(r.stmtCache).Query()\n 559→\tif err != nil {\n 560→\t\tqueryString, queryVars, _ := query.ToSql()\n 561→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 562→\t\treturn nil, err\n 563→\t}\n 564→\n 565→\tstateMap := map[string]int{}\n 566→\tfor rows.Next() {\n 567→\t\tvar state string\n 568→\t\tif err := rows.Scan(&state); err != nil {\n 569→\t\t\trows.Close()\n 570→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 571→\t\t\treturn nil, err\n 572→\t\t}\n 573→\n 574→\t\tstateMap[state] += 1\n 575→\t}\n 576→\n 577→\tnodes := make([]*model.NodeStates, 0)\n 578→\tfor state, counts := range stateMap {\n 579→\t\tnode := model.NodeStates{State: state, Count: counts}\n 580→\t\tnodes = append(nodes, &node)\n 581→\t}\n 582→\n 583→\treturn nodes, nil\n 584→}\n 585→\n 586→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 587→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 588→\tif qerr != nil {\n 589→\t\treturn nil, qerr\n 590→\t}\n 591→\n 592→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 593→\n 594→\tfor _, f := range filters {\n 595→\t\t// Required\n 596→\t\tif f.TimeStart != nil {\n 597→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 598→\t\t}\n 599→\t\t// Optional\n 600→\t\tif f.Hostname != nil {\n 601→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 602→\t\t}\n 603→\t\tif f.Cluster != nil {\n 604→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 605→\t\t}\n 606→\t\tif f.SubCluster != nil {\n 607→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 608→\t\t}\n 609→\t\tif f.SchedulerState != nil {\n 610→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 611→\t\t}\n 612→\t\tif f.HealthState != nil {\n 613→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 614→\t\t}\n 615→\t}\n 616→\n 617→\t// Add Group and Order\n 618→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 619→\n 620→\trows, err := query.RunWith(r.stmtCache).Query()\n 621→\tif err != nil {\n 622→\t\tqueryString, queryVars, _ := query.ToSql()\n 623→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 624→\t\treturn nil, err\n 625→\t}\n 626→\n 627→\trawData := make(map[string][][]int)\n 628→\tfor rows.Next() {\n 629→\t\tvar state string\n 630→\t\tvar timestamp, count int\n 631→\n 632→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 633→\t\t\trows.Close()\n 634→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 635→\t\t\treturn nil, err\n 636→\t\t}\n 637→\n 638→\t\tif rawData[state] == nil {\n 639→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 640→\t\t}\n 641→\n 642→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 643→\t\trawData[state][1] = append(rawData[state][1], count)\n 644→\t}\n 645→\n 646→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 647→\tfor state, data := range rawData {\n 648→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 649→\t\ttimedStates = append(timedStates, &entry)\n 650→\t}\n 651→\n 652→\treturn timedStates, nil\n 653→}\n 654→\n 655→func (r *NodeRepository) GetNodesForList(\n 656→\tctx context.Context,\n 657→\tcluster string,\n 658→\tsubCluster string,\n 659→\tstateFilter string,\n 660→\tnodeFilter string,\n 661→\tpage *model.PageRequest,\n 662→) ([]string, map[string]string, int, bool, error) {\n 663→\t// Init Return Vars\n 664→\tnodes := make([]string, 0)\n 665→\tstateMap := make(map[string]string)\n 666→\tcountNodes := 0\n 667→\thasNextPage := false\n 668→\n 669→\t// Build Filters\n 670→\tqueryFilters := make([]*model.NodeFilter, 0)\n 671→\tif cluster != \"\" {\n 672→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 673→\t}\n 674→\tif subCluster != \"\" {\n 675→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 676→\t}\n 677→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 678→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 679→\t}\n 680→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 681→\t\tqueryState := schema.SchedulerState(stateFilter)\n 682→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 683→\t}\n 684→\t// if healthFilter != \"all\" {\n 685→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 686→\t// }\n 687→\n 688→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 689→\tvar backupItems int\n 690→\tif stateFilter == \"notindb\" {\n 691→\t\tbackupItems = page.ItemsPerPage\n 692→\t\tpage.ItemsPerPage = -1\n 693→\t}\n 694→\n 695→\t// Query Nodes From DB\n 696→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 697→\tif serr != nil {\n 698→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 699→\t\treturn nil, nil, 0, false, serr\n 700→\t}\n 701→\n 702→\t// Intermediate Node Result Info\n 703→\tfor _, node := range rawNodes {\n 704→\t\tif node == nil {\n 705→\t\t\tcontinue\n 706→\t\t}\n 707→\t\tnodes = append(nodes, node.Hostname)\n 708→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 709→\t}\n 710→\n 711→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 712→\tif stateFilter == \"notindb\" {\n 713→\t\t// Reapply Original Paging\n 714→\t\tpage.ItemsPerPage = backupItems\n 715→\t\t// Get Nodes From Topology\n 716→\t\tvar topoNodes []string\n 717→\t\tif subCluster != \"\" {\n 718→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 719→\t\t\ttopoNodes = scNodes.PrintList()\n 720→\t\t} else {\n 721→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 722→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 723→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 724→\t\t\t}\n 725→\t\t}\n 726→\t\t// Compare to all nodes from cluster/subcluster in DB\n 727→\t\tvar missingNodes []string\n 728→\t\tfor _, scanNode := range topoNodes {\n 729→\t\t\tif !slices.Contains(nodes, scanNode) {\n 730→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 731→\t\t\t}\n 732→\t\t}\n 733→\t\t// Filter nodes by name\n 734→\t\tif nodeFilter != \"\" {\n 735→\t\t\tfilteredNodesByName := []string{}\n 736→\t\t\tfor _, missingNode := range missingNodes {\n 737→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 738→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 739→\t\t\t\t}\n 740→\t\t\t}\n 741→\t\t\tmissingNodes = filteredNodesByName\n 742→\t\t}\n 743→\t\t// Sort Missing Nodes Alphanumerically\n 744→\t\tslices.Sort(missingNodes)\n 745→\t\t// Total Missing\n 746→\t\tcountNodes = len(missingNodes)\n 747→\t\t// Apply paging\n 748→\t\tif countNodes > page.ItemsPerPage {\n 749→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 750→\t\t\tend := start + page.ItemsPerPage\n 751→\t\t\tif end > countNodes {\n 752→\t\t\t\tend = countNodes\n 753→\t\t\t\thasNextPage = false\n 754→\t\t\t} else {\n 755→\t\t\t\thasNextPage = true\n 756→\t\t\t}\n 757→\t\t\tnodes = missingNodes[start:end]\n 758→\t\t} else {\n 759→\t\t\tnodes = missingNodes\n 760→\t\t}\n 761→\n 762→\t} else {\n 763→\t\t// DB Nodes: Count and derive hasNextPage from count\n 764→\t\tvar cerr error\n 765→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 766→\t\tif cerr != nil {\n 767→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 768→\t\t\treturn nil, nil, 0, false, cerr\n 769→\t\t}\n 770→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 771→\t}\n 772→\n 773→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 774→\tif stateFilter == \"all\" && countNodes == 0 {\n 775→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 776→\t}\n 777→\n 778→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 779→}\n 780→\n 781→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 782→\tuser := GetUserFromContext(ctx)\n 783→\treturn AccessCheckWithUser(user, query)\n 784→}\n 785→\n 786→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 787→\tif user == nil {\n 788→\t\tvar qnil sq.SelectBuilder\n 789→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 790→\t}\n 791→\n 792→\tswitch {\n 793→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 794→\t// \treturn query, nil\n 795→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 796→\t\treturn query, nil\n 797→\tdefault: // No known Role: No Access, return error\n 798→\t\tvar qnil sq.SelectBuilder\n 799→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 800→\t}\n 801→}\n 802→\n 803→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 804→\t// 0) Init additional vars\n 805→\thasNextPage := false\n 806→\ttotalNodes := 0\n 807→\n 808→\t// 1) Get list of all nodes\n 809→\tvar topolNodes []string\n 810→\tif subCluster != \"\" {\n 811→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 812→\t\ttopolNodes = scNodes.PrintList()\n 813→\t} else {\n 814→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 815→\t\tfor _, nodeList := range subClusterNodeLists {\n 816→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 817→\t\t}\n 818→\t}\n 819→\n 820→\t// 2) Filter nodes\n 821→\tif nodeFilter != \"\" {\n 822→\t\tfilteredNodes := []string{}\n 823→\t\tfor _, node := range topolNodes {\n 824→\t\t\tif strings.Contains(node, nodeFilter) {\n 825→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 826→\t\t\t}\n 827→\t\t}\n 828→\t\ttopolNodes = filteredNodes\n 829→\t}\n 830→\n 831→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 832→\ttotalNodes = len(topolNodes)\n 833→\tsort.Strings(topolNodes)\n 834→\n 835→\t// 3) Apply paging\n 836→\tif len(topolNodes) > page.ItemsPerPage {\n 837→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 838→\t\tend := start + page.ItemsPerPage\n 839→\t\tif end >= len(topolNodes) {\n 840→\t\t\tend = len(topolNodes)\n 841→\t\t\thasNextPage = false\n 842→\t\t} else {\n 843→\t\t\thasNextPage = true\n 844→\t\t}\n 845→\t\ttopolNodes = topolNodes[start:end]\n 846→\t}\n 847→\n 848→\treturn topolNodes, totalNodes, hasNextPage\n 849→}\n 850→"}]},"uuid":"480ddb1b-6637-4e92-bb40-396c55d193ae","timestamp":"2026-03-10T20:16:25.122Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"802877c3-5c6a-4a10-9f9f-6c14ad7b6bf2","timestamp":"2026-03-10T20:16:25.162Z"} 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+{"parentUuid":"ca58060c-b85b-4f5b-944b-23f808f78935","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013WiDFWgvkyqyp8FAFAQAvx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\n 287→\tfor xrows.Next() {\n 288→\t\tvar t schema.Tag\n 289→\t\tif err = xrows.StructScan(&t); err != nil {\n 290→\t\t\treturn nil, nil, err\n 291→\t\t}\n 292→\n 293→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 294→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 295→\t\tif err != nil {\n 296→\t\t\treturn nil, nil, err\n 297→\t\t}\n 298→\t\tif readable {\n 299→\t\t\ttags = append(tags, t)\n 300→\t\t}\n 301→\t}\n 302→\n 303→\t// Query and Count Jobs with attached Tags\n 304→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 305→\t\tFrom(\"tag t\").\n 306→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 307→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 308→\n 309→\t// Build scope list for filtering\n 310→\tvar scopeBuilder strings.Builder\n 311→\tscopeBuilder.WriteString(`\"global\"`)\n 312→\tif user != nil {\n 313→\t\tscopeBuilder.WriteString(`,\"`)\n 314→\t\tscopeBuilder.WriteString(user.Username)\n 315→\t\tscopeBuilder.WriteString(`\"`)\n 316→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 317→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 318→\t\t}\n 319→\t}\n 320→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 321→\n 322→\t// Handle Job Ownership\n 323→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 324→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 325→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 326→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 327→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 328→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 329→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 330→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 331→\t}\n 332→\n 333→\trows, err := q.RunWith(r.stmtCache).Query()\n 334→\tif err != nil {\n 335→\t\treturn nil, nil, err\n 336→\t}\n 337→\n 338→\tcounts = make(map[string]int)\n 339→\tfor rows.Next() {\n 340→\t\tvar tagType string\n 341→\t\tvar tagName string\n 342→\t\tvar tagID int\n 343→\t\tvar count int\n 344→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 345→\t\t\treturn nil, nil, err\n 346→\t\t}\n 347→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 348→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 349→\t}\n 350→\terr = rows.Err()\n 351→\n 352→\treturn tags, counts, err\n 353→}\n 354→\n 355→var (\n 356→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 357→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 358→\n 359→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 360→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 361→\n 362→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 363→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 364→\n 365→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 366→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 367→\n 368→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 369→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 370→\n 371→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 372→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 373→)\n 374→\n 375→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 376→//\n 377→// This function performs three operations atomically:\n 378→// 1. Inserts the job-tag association into the jobtag junction table\n 379→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 380→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 381→//\n 382→// Parameters:\n 383→// - jobId: Database ID of the job\n 384→// - tagId: Database ID of the tag to associate\n 385→// - job: Full job object needed for archive update\n 386→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 387→//\n 388→// Returns the complete updated tag list for the job or an error.\n 389→//\n 390→// Note: This function does NOT validate tag scope permissions - callers must perform\n 391→// authorization checks before invoking this helper.\n 392→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 393→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 394→\n 395→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 396→\t\ts, _, _ := q.ToSql()\n 397→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 398→\t\treturn nil, err\n 399→\t}\n 400→\n 401→\ttags, err := getTags()\n 402→\tif err != nil {\n 403→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\treturn tags, archive.UpdateTags(job, archiveTags)\n 414→}\n 415→\n 416→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 417→// If such a tag does not yet exist, it is created.\n 418→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 419→\t// Default to \"Global\" scope if none defined\n 420→\tif tagScope == \"\" {\n 421→\t\ttagScope = \"global\"\n 422→\t}\n 423→\n 424→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 425→\tif err != nil {\n 426→\t\treturn 0, err\n 427→\t}\n 428→\tif !writable {\n 429→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 430→\t}\n 431→\n 432→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 433→\tif !exists {\n 434→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 435→\t\tif err != nil {\n 436→\t\t\treturn 0, err\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 441→\t\treturn 0, err\n 442→\t}\n 443→\n 444→\treturn tagID, nil\n 445→}\n 446→\n 447→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 448→\ttagScope := \"global\"\n 449→\n 450→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 451→\tif !exists {\n 452→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 453→\t\tif err != nil {\n 454→\t\t\treturn 0, err\n 455→\t\t}\n 456→\t}\n 457→\n 458→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 459→\n 460→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 461→\t\treturn 0, err\n 462→\t}\n 463→\n 464→\treturn tagID, nil\n 465→}\n 466→\n 467→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 468→\tvar id int64\n 469→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 470→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 471→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 472→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 473→\tif err != nil {\n 474→\t\treturn false\n 475→\t} else {\n 476→\t\treturn true\n 477→\t}\n 478→}\n 479→\n 480→// TagID returns the database id of the tag with the specified type and name.\n 481→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 482→\texists = true\n 483→\tif err := sq.Select(\"id\").From(\"tag\").\n 484→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 485→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 486→\t\texists = false\n 487→\t}\n 488→\treturn\n 489→}\n 490→\n 491→// TagInfo returns the database infos of the tag with the specified id.\n 492→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 493→\texists = true\n 494→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 495→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 496→\t\texists = false\n 497→\t}\n 498→\treturn\n 499→}\n 500→\n 501→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 502→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 503→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 504→\tif job != nil {\n 505→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 506→\t}\n 507→\n 508→\trows, err := q.RunWith(r.stmtCache).Query()\n 509→\tif err != nil {\n 510→\t\ts, _, _ := q.ToSql()\n 511→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 512→\t\treturn nil, err\n 513→\t}\n 514→\n 515→\ttags := make([]*schema.Tag, 0)\n 516→\tfor rows.Next() {\n 517→\t\ttag := &schema.Tag{}\n 518→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 519→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 523→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 524→\t\tif err != nil {\n 525→\t\t\treturn nil, err\n 526→\t\t}\n 527→\t\tif readable {\n 528→\t\t\ttags = append(tags, tag)\n 529→\t\t}\n 530→\t}\n 531→\n 532→\treturn tags, nil\n 533→}\n 534→\n 535→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 536→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 537→\tif job != nil {\n 538→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 539→\t}\n 540→\n 541→\trows, err := q.RunWith(r.stmtCache).Query()\n 542→\tif err != nil {\n 543→\t\ts, _, _ := q.ToSql()\n 544→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 545→\t\treturn nil, err\n 546→\t}\n 547→\n 548→\ttags := make([]*schema.Tag, 0)\n 549→\tfor rows.Next() {\n 550→\t\ttag := &schema.Tag{}\n 551→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 552→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 553→\t\t\treturn nil, err\n 554→\t\t}\n 555→\t\ttags = append(tags, tag)\n 556→\t}\n 557→\n 558→\treturn tags, nil\n 559→}\n 560→\n 561→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 562→//\n 563→// This internal function is used exclusively for job archive synchronization where we need\n 564→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 565→// filters by scope, this returns the complete unfiltered tag list.\n 566→//\n 567→// Parameters:\n 568→// - job: Pointer to job database ID, or nil to return all tags in the system\n 569→//\n 570→// Returns all tags without scope filtering, used only for archive operations.\n 571→//\n 572→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 573→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 574→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 575→\tif job != nil {\n 576→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 577→\t}\n 578→\n 579→\trows, err := q.RunWith(r.stmtCache).Query()\n 580→\tif err != nil {\n 581→\t\ts, _, _ := q.ToSql()\n 582→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 583→\t\treturn nil, err\n 584→\t}\n 585→\n 586→\ttags := make([]*schema.Tag, 0)\n 587→\tfor rows.Next() {\n 588→\t\ttag := &schema.Tag{}\n 589→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 590→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 591→\t\t\treturn nil, err\n 592→\t\t}\n 593→\t\ttags = append(tags, tag)\n 594→\t}\n 595→\n 596→\treturn tags, nil\n 597→}\n 598→\n 599→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 600→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 601→\n 602→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 603→\tif !exists {\n 604→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 605→\t\tif err != nil {\n 606→\t\t\treturn err\n 607→\t\t}\n 608→\t}\n 609→\n 610→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 611→\n 612→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 613→\t\ts, _, _ := q.ToSql()\n 614→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 615→\t\treturn err\n 616→\t}\n 617→\n 618→\treturn nil\n 619→}\n 620→\n 621→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 622→//\n 623→// This function implements the tag scope authorization matrix:\n 624→//\n 625→//\tScope | Read Access | Write Access\n 626→//\t-------------|----------------------------------|----------------------------------\n 627→//\t\"global\" | All users | Admin, Support, API-only\n 628→//\t\"admin\" | Admin, Support | Admin, API-only\n 629→//\t | Owner only | Owner only (private tags)\n 630→//\n 631→// Parameters:\n 632→// - user: User attempting the operation (must not be nil)\n 633→// - operation: Either \"read\" or \"write\"\n 634→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 635→//\n 636→// Returns:\n 637→// - pass: true if authorized, false if denied\n 638→// - err: error only if operation is invalid or user is nil\n 639→//\n 640→// Special cases:\n 641→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 642→// - Private tags use the username as scope, granting exclusive access to that user\n 643→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 644→\tif user != nil {\n 645→\t\tswitch {\n 646→\t\tcase operation == \"write\" && scope == \"admin\":\n 647→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 648→\t\t\t\treturn true, nil\n 649→\t\t\t}\n 650→\t\t\treturn false, nil\n 651→\t\tcase operation == \"write\" && scope == \"global\":\n 652→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 653→\t\t\t\treturn true, nil\n 654→\t\t\t}\n 655→\t\t\treturn false, nil\n 656→\t\tcase operation == \"write\" && scope == user.Username:\n 657→\t\t\treturn true, nil\n 658→\t\tcase operation == \"read\" && scope == \"admin\":\n 659→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 660→\t\tcase operation == \"read\" && scope == \"global\":\n 661→\t\t\treturn true, nil\n 662→\t\tcase operation == \"read\" && scope == user.Username:\n 663→\t\t\treturn true, nil\n 664→\t\tdefault:\n 665→\t\t\tif operation == \"read\" || operation == \"write\" {\n 666→\t\t\t\t// No acceptable scope: deny tag\n 667→\t\t\t\treturn false, nil\n 668→\t\t\t} else {\n 669→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 670→\t\t\t}\n 671→\t\t}\n 672→\t} else {\n 673→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 674→\t}\n 675→}\n 676→"}]},"uuid":"0f6d3743-08f9-4d3b-a59f-1f3612b59418","timestamp":"2026-03-10T20:16:25.169Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"a1cb12c6-1c6a-4b59-aecf-13e211a4f548","timestamp":"2026-03-10T20:16:25.866Z"} +{"parentUuid":"a1cb12c6-1c6a-4b59-aecf-13e211a4f548","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:25.888Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019UWQiCZmY6Bgcs5CgypDFr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rs4dpve4bDvCq69WGueUTz","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38592,"cache_read_input_tokens":21031,"cache_creation":{"ephemeral_5m_input_tokens":38592,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1pGWFHube3kf4tG89t","uuid":"acede5f9-447c-4b48-b097-c0549c44dea5"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"b9ef5519-ef40-4723-87c7-68b573adc068","timestamp":"2026-03-10T20:16:25.889Z"} +{"parentUuid":"b9ef5519-ef40-4723-87c7-68b573adc068","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rs4dpve4bDvCq69WGueUTz","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"9907f428-d8bd-4bf5-aae2-06c06498dda8","timestamp":"2026-03-10T20:16:25.902Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"bf132fe3-47c8-4798-bb4d-611e8450c3f7","timestamp":"2026-03-10T20:16:25.904Z"} +{"parentUuid":"bf132fe3-47c8-4798-bb4d-611e8450c3f7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:28.511Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Mo7CdGzQBVqAemDb95fotR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F4PAP59BoMF4K5sMqDtbYX","name":"Bash","input":{"command":"find 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files\ninternal/repository/jobFind.go\ninternal/repository/job.go\ninternal/repository/jobQuery.go\ninternal/repository/user.go\ninternal/repository/jobCreate.go\ninternal/repository/node.go\ninternal/repository/tags.go\ninternal/repository/stats.go"}]},"uuid":"521d288d-58c3-44ba-96d8-dda1dc004a01","timestamp":"2026-03-10T20:16:30.480Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"86cead01-197e-48ee-90dc-de7452eb7b7a","timestamp":"2026-03-10T20:16:30.610Z"} 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+{"parentUuid":"38837979-e626-477b-80d5-7d507e37fa1e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XiX42Vt3P1nyvV3JJH6UkY","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"encoding/json\"\n 9→\t\"maps\"\n 10→\t\"sync\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/jmoiron/sqlx\"\n 19→)\n 20→\n 21→var (\n 22→\tuserCfgRepoOnce sync.Once\n 23→\tuserCfgRepoInstance *UserCfgRepo\n 24→)\n 25→\n 26→type UserCfgRepo struct {\n 27→\tDB *sqlx.DB\n 28→\tLookup *sqlx.Stmt\n 29→\tuiDefaults map[string]any\n 30→\tcache *lrucache.Cache\n 31→\tlock sync.RWMutex\n 32→}\n 33→\n 34→func GetUserCfgRepo() *UserCfgRepo {\n 35→\tuserCfgRepoOnce.Do(func() {\n 36→\t\tdb := GetConnection()\n 37→\n 38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n 39→\t\tif err != nil {\n 40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n 41→\t\t}\n 42→\n 43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n 44→\t\t\tDB: db.DB,\n 45→\t\t\tLookup: lookupConfigStmt,\n 46→\t\t\tuiDefaults: web.UIDefaultsMap,\n 47→\t\t\tcache: lrucache.New(1024),\n 48→\t\t}\n 49→\t})\n 50→\n 51→\treturn userCfgRepoInstance\n 52→}\n 53→\n 54→// Return the personalised UI config for the currently authenticated\n 55→// user or return the plain default config.\n 56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n 57→\tif user == nil {\n 58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n 59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n 60→\t\treturn copy, nil\n 61→\t}\n 62→\n 63→\t// Is the cache invalidated in case the options are changed?\n 64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n 65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n 66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n 67→\n 68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n 69→\t\tif err != nil {\n 70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n 71→\t\t\treturn err, 0, 0\n 72→\t\t}\n 73→\n 74→\t\tsize := 0\n 75→\t\tdefer rows.Close()\n 76→\t\tfor rows.Next() {\n 77→\t\t\tvar key, rawval string\n 78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n 79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n 80→\t\t\t\treturn err, 0, 0\n 81→\t\t\t}\n 82→\n 83→\t\t\tvar val any\n 84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n 85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n 86→\t\t\t\treturn err, 0, 0\n 87→\t\t\t}\n 88→\n 89→\t\t\tsize += len(key)\n 90→\t\t\tsize += len(rawval)\n 91→\t\t\tuiconfig[key] = val\n 92→\t\t}\n 93→\n 94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n 95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n 96→\n 97→\t\treturn uiconfig, 24 * time.Hour, size\n 98→\t})\n 99→\tif err, ok := data.(error); ok {\n 100→\t\tcclog.Error(\"Error in returned dataset\")\n 101→\t\treturn nil, err\n 102→\t}\n 103→\n 104→\treturn data.(map[string]any), nil\n 105→}\n 106→\n 107→// If the context does not have a user, update the global ui configuration\n 108→// without persisting it! If there is a (authenticated) user, update only his\n 109→// configuration.\n 110→func (uCfg *UserCfgRepo) UpdateConfig(\n 111→\tkey, value string,\n 112→\tuser *schema.User,\n 113→) error {\n 114→\tif user == nil {\n 115→\t\treturn nil\n 116→\t}\n 117→\n 118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n 119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n 120→\t\treturn err\n 121→\t}\n 122→\n 123→\tuCfg.cache.Del(user.Username)\n 124→\treturn nil\n 125→}\n 126→"}]},"uuid":"6adb806e-698d-4cfb-be6e-b1c2c46eeada","timestamp":"2026-03-10T20:16:32.939Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"5320bc93-1a06-4120-a3ab-2831bacd8263","timestamp":"2026-03-10T20:16:33.220Z"} +{"parentUuid":"5320bc93-1a06-4120-a3ab-2831bacd8263","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:34.246Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SXtVskbuYicR7WaQa93nLL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015K2BAgAcGxHpsFY34EAtaD","name":"Grep","input":{"pattern":"Queryx\\(\\)|\\.DB\\.Query|\\.Scan\\(","path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":759,"cache_read_input_tokens":83556,"cache_creation":{"ephemeral_5m_input_tokens":759,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1pwF9er8KFSxs7SFQ4","uuid":"2f6cbeff-d05e-4685-8db6-c7026f5a8a09"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"a6906dff-4da7-403a-a12f-75e5a99be31a","timestamp":"2026-03-10T20:16:34.247Z"} +{"parentUuid":"a6906dff-4da7-403a-a12f-75e5a99be31a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015K2BAgAcGxHpsFY34EAtaD","type":"tool_result","content":"279-/ - err: any error encountered\n280-func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n281-\ttags = make([]schema.Tag, 0, 100)\n282:\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n283-\tif err != nil {\n284-\t\treturn nil, nil, err\n285-\t}\n--\n341-\t\tvar tagName string\n342-\t\tvar tagID int\n343-\t\tvar count int\n344:\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n345-\t\t\treturn nil, nil, err\n346-\t\t}\n347-\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n--\n469-\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n470-\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n471-\t\tWhere(\"tag.tag_name = ?\", tagName)\n472:\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n473-\tif err != nil {\n474-\t\treturn false\n475-\t} else {\n--\n482-\texists = true\n483-\tif err := sq.Select(\"id\").From(\"tag\").\n484-\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n485:\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n486-\t\texists = false\n487-\t}\n488-\treturn\n--\n492-func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n493-\texists = true\n494-\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n495:\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n496-\t\texists = false\n497-\t}\n498-\treturn\n--\n515-\ttags := make([]*schema.Tag, 0)\n516-\tfor rows.Next() {\n517-\t\ttag := &schema.Tag{}\n518:\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n519-\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n520-\t\t\treturn nil, err\n521-\t\t}\n--\n548-\ttags := make([]*schema.Tag, 0)\n549-\tfor rows.Next() {\n550-\t\ttag := &schema.Tag{}\n551:\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n552-\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n553-\t\t\treturn nil, err\n554-\t\t}\n--\n586-\ttags := make([]*schema.Tag, 0)\n587-\tfor rows.Next() {\n588-\t\ttag := &schema.Tag{}\n589:\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n590-\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n591-\t\t\treturn nil, err\n592-\t\t}"}]},"uuid":"fa34119e-88f5-4a85-9dec-3015400615cc","timestamp":"2026-03-10T20:16:34.271Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"2c233f88-93cc-4b87-9ae8-63bcf7f6353e","timestamp":"2026-03-10T20:16:34.272Z"} +{"parentUuid":"2c233f88-93cc-4b87-9ae8-63bcf7f6353e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:38.222Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01B2J6RdD1NjxJz8czC2QSh2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FXJxSBZBxsBKKVNLfmz2p9","name":"Grep","input":{"pattern":"xrows.*Queryx|for xrows\\.Next|xrows\\.Close","path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","output_mode":"content","context":5},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3054,"cache_read_input_tokens":84315,"cache_creation":{"ephemeral_5m_input_tokens":3054,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1q9AkGEXxRVzJoQSSG","uuid":"f29f9a1c-0a2d-4654-8abc-4894ebf976ff"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"f92f4e14-eb7d-41ea-86cc-ec380ed99f98","timestamp":"2026-03-10T20:16:38.224Z"} +{"parentUuid":"f92f4e14-eb7d-41ea-86cc-ec380ed99f98","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FXJxSBZBxsBKKVNLfmz2p9","type":"tool_result","content":"277-/ - tags: slice of tags the user can see\n278-/ - counts: map of tag name to job count\n279-/ - err: any error encountered\n280-func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n281-\ttags = make([]schema.Tag, 0, 100)\n282:\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n283-\tif err != nil {\n284-\t\treturn nil, nil, err\n285-\t}\n286-\n287:\tfor xrows.Next() {\n288-\t\tvar t schema.Tag\n289-\t\tif err = xrows.StructScan(&t); err != nil {\n290-\t\t\treturn nil, nil, err\n291-\t\t}\n292-"}]},"uuid":"c21f9380-5697-4218-a154-503ee0bdb709","timestamp":"2026-03-10T20:16:38.255Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"8c2e173c-333f-4a55-874f-9f17742aea58","timestamp":"2026-03-10T20:16:38.307Z"} +{"parentUuid":"8c2e173c-333f-4a55-874f-9f17742aea58","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:40.583Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_017Y3wz83HHpp3wzRrbVHqx5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MMFV255eSudaokEVatL9Gh","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","offset":280,"limit":75},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":679,"cache_read_input_tokens":87369,"cache_creation":{"ephemeral_5m_input_tokens":679,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1qSRpt1n32hbUmQ55k","uuid":"9d3a93ca-dcae-40fd-80bc-31893dd1f279"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"1b068f51-6d39-46cf-9cc9-96f14966ab6f","timestamp":"2026-03-10T20:16:40.584Z"} +{"parentUuid":"1b068f51-6d39-46cf-9cc9-96f14966ab6f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MMFV255eSudaokEVatL9Gh","type":"tool_result","content":" 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\n 287→\tfor xrows.Next() {\n 288→\t\tvar t schema.Tag\n 289→\t\tif err = xrows.StructScan(&t); err != nil {\n 290→\t\t\treturn nil, nil, err\n 291→\t\t}\n 292→\n 293→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 294→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 295→\t\tif err != nil {\n 296→\t\t\treturn nil, nil, err\n 297→\t\t}\n 298→\t\tif readable {\n 299→\t\t\ttags = append(tags, t)\n 300→\t\t}\n 301→\t}\n 302→\n 303→\t// Query and Count Jobs with attached Tags\n 304→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 305→\t\tFrom(\"tag t\").\n 306→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 307→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 308→\n 309→\t// Build scope list for filtering\n 310→\tvar scopeBuilder strings.Builder\n 311→\tscopeBuilder.WriteString(`\"global\"`)\n 312→\tif user != nil {\n 313→\t\tscopeBuilder.WriteString(`,\"`)\n 314→\t\tscopeBuilder.WriteString(user.Username)\n 315→\t\tscopeBuilder.WriteString(`\"`)\n 316→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 317→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 318→\t\t}\n 319→\t}\n 320→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 321→\n 322→\t// Handle Job Ownership\n 323→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 324→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 325→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 326→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 327→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 328→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 329→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 330→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 331→\t}\n 332→\n 333→\trows, err := q.RunWith(r.stmtCache).Query()\n 334→\tif err != nil {\n 335→\t\treturn nil, nil, err\n 336→\t}\n 337→\n 338→\tcounts = make(map[string]int)\n 339→\tfor rows.Next() {\n 340→\t\tvar tagType string\n 341→\t\tvar tagName string\n 342→\t\tvar tagID int\n 343→\t\tvar count int\n 344→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 345→\t\t\treturn nil, nil, err\n 346→\t\t}\n 347→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 348→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 349→\t}\n 350→\terr = rows.Err()\n 351→\n 352→\treturn tags, counts, err\n 353→}\n 354→"}]},"uuid":"ce6344cb-e2a6-42a4-9f7a-efeb774fc825","timestamp":"2026-03-10T20:16:40.605Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"977ad26b-fa4f-4de8-b113-95510fe69870","timestamp":"2026-03-10T20:16:40.606Z"} +{"parentUuid":"977ad26b-fa4f-4de8-b113-95510fe69870","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:43.441Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_017kC3DkAPLGJAwLwAv5spKn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VNHjvS3U6VXtiVCpm4rV7m","name":"Grep","input":{"pattern":"\\.Query\\(|\\.QueryRow\\(|QueryContext|\\.Queryx\\(","path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","output_mode":"content","context":2,"head_limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1327,"cache_read_input_tokens":88048,"cache_creation":{"ephemeral_5m_input_tokens":1327,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1qcBxKrWbxHLT9kWga","uuid":"e9fe4afd-333e-410e-9284-7b0a074f6441"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"ad9aed42-2506-4ebc-9d56-201bf98a82f6","timestamp":"2026-03-10T20:16:43.442Z"} +{"parentUuid":"ad9aed42-2506-4ebc-9d56-201bf98a82f6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VNHjvS3U6VXtiVCpm4rV7m","type":"tool_result","content":"93-\t\tWhere(\"node.hostname = ?\", hostname).\n94-\t\tWhere(\"node.cluster = ?\", cluster).\n95:\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n96-\t\tcclog.Warn(\"Error while scanning for node metadata\")\n97-\t\treturn nil, err\n--\n285-\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n286-\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n287:\t\tRunWith(r.DB).Query()\n288-\tif err != nil {\n289-\t\treturn nil, err\n--\n361-\t}\n362-\n363:\trows, err := query.RunWith(r.stmtCache).Query()\n364-\tif err != nil {\n365-\t\tqueryString, queryVars, _ := query.ToSql()\n--\n410-\t}\n411-\n412:\trows, err := query.RunWith(r.stmtCache).Query()\n413-\tif err != nil {\n414-\t\tqueryString, queryVars, _ := query.ToSql()\n--\n476-\n477-\tvar count int\n478:\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n479-\t\tqueryString, queryVars, _ := query.ToSql()\n480-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n--\n\n[Showing results with pagination = limit: 30, offset: 0]"}]},"uuid":"1f69d077-51da-4de3-b0c5-e933449b4740","timestamp":"2026-03-10T20:16:43.462Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"d7f21c42-57c1-48b0-9082-61a8231c40b0","timestamp":"2026-03-10T20:16:43.462Z"} +{"parentUuid":"d7f21c42-57c1-48b0-9082-61a8231c40b0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:16:46.123Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01D6HBezgzyEniUaXcFFzvKu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Su4ijY8y21pdEGbgw7mFff","name":"Grep","input":{"pattern":"Query\\(\\)|Queryx\\(","path":"/Users/jan/prg/CC/cc-backend/internal/repository","type":"go","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":680,"cache_read_input_tokens":89375,"cache_creation":{"ephemeral_5m_input_tokens":680,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1qpMSVCwoRYb66DFc8","uuid":"3c6a7ab7-b695-4da6-a357-f84d2da1ac3a"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"7b40c6f2-e16f-4927-885f-2b0df2aa688a","timestamp":"2026-03-10T20:16:46.123Z"} +{"parentUuid":"7b40c6f2-e16f-4927-885f-2b0df2aa688a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Su4ijY8y21pdEGbgw7mFff","type":"tool_result","content":"\nOutput too large (20.2KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e/tool-results/toolu_01Su4ijY8y21pdEGbgw7mFff.txt\n\nPreview (first 2KB):\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-75-\ninternal/repository/jobCreate.go-76-\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-77-\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-79-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-80-\t\tcclog.Errorf(\"Error while running query %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-81-\t\treturn nil, err\n--\ninternal/repository/node.go-284-\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-285-\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-286-\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\ninternal/repository/node.go:287:\t\tRunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-288-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-289-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-290-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-360-\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-361-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-362-\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-364-\tif err != nil {\ninternal/repository/node.go-365-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-366-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n--\n...\n"}]},"uuid":"ccacdc3d-878b-42e8-aed1-daff52a7f1a4","timestamp":"2026-03-10T20:16:46.149Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"96b2f3e2-8d18-46ad-819f-8ee893716f1d","timestamp":"2026-03-10T20:16:46.150Z"} 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%v\", err)\n541:\trows, err := q.RunWith(r.stmtCache).Query()\n549:\tfor rows.Next() {\n551:\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n552:\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n579:\trows, err := q.RunWith(r.stmtCache).Query()\n587:\tfor rows.Next() {\n589:\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n590:\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)","is_error":false}]},"uuid":"a092f80f-88b6-4302-b006-72f301fa40cf","timestamp":"2026-03-10T20:16:54.209Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"2b9204b5-9505-46e4-8769-ce2b8c9215c6","timestamp":"2026-03-10T20:16:54.209Z"} 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434→\t\t} else {\n 435→\t\t\tmetaData := make(map[string]string)\n 436→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 437→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 438→\t\t\t\treturn nil, err\n 439→\t\t\t}\n 440→\t\t\tnode.MetaData = metaData\n 441→\t\t}\n 442→\n 443→\t\tif len(RawMetricHealth) == 0 {\n 444→\t\t\tnode.HealthData = nil\n 445→\t\t} else {\n 446→\t\t\thealthData := make(map[string][]string)\n 447→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 448→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 449→\t\t\t\treturn nil, err\n 450→\t\t\t}\n 451→\t\t\tnode.HealthData = healthData\n 452→\t\t}\n 453→\n 454→\t\tnodes = append(nodes, &node)\n 455→\t}\n 456→\n 457→\treturn nodes, nil\n 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+{"parentUuid":"7e7f9768-0ece-45e9-827e-0573f5fa9a89","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CvwCVuyxbatof6SvuGofTD","type":"tool_result","content":" 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\n 239→\tstats := make([]*model.JobsStatistics, 0, 100)\n 240→\n 241→\tfor rows.Next() {\n 242→\t\tvar id sql.NullString\n 243→\t\tvar name sql.NullString\n 244→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 245→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 246→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 247→\t\t\treturn nil, err\n 248→\t\t}\n 249→"}]},"uuid":"0cac87d3-c521-42b5-932c-0223eea2e292","timestamp":"2026-03-10T20:17:20.144Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"64867864-7326-4179-9586-bf431893b790","timestamp":"2026-03-10T20:17:20.326Z"} 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+{"parentUuid":"93ca684a-1e52-4d34-95c4-a1613c973847","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V5dLhUsFafNef9xyqeRhYZ","type":"tool_result","content":" 438→\trows, err := query.RunWith(r.DB).Query()\n 439→\tif err != nil {\n 440→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 441→\t\treturn nil, err\n 442→\t}\n 443→\n 444→\tstats := make([]*model.JobsStatistics, 0, 100)\n 445→\n 446→\tfor rows.Next() {\n 447→\t\tvar id sql.NullString\n 448→\t\tvar cnt sql.NullInt64\n 449→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 450→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 451→\t\t\treturn nil, err\n 452→\t\t}\n 453→\t\tif id.Valid {\n 454→\t\t\tstats = append(stats,\n 455→\t\t\t\t&model.JobsStatistics{\n 456→\t\t\t\t\tID: id.String,\n 457→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 458→\t\t\t\t})\n 459→\t\t}\n 460→\t}\n 461→\n 462→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))"}]},"uuid":"b94341fe-1b53-402e-9d41-cbdcafe7111e","timestamp":"2026-03-10T20:17:21.053Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"f0a9d50b-9ff3-45e6-a359-e00e9aa3fd34","timestamp":"2026-03-10T20:17:21.064Z"} 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+{"parentUuid":"aef3bbe5-0519-4e37-bc40-3c01b73fcebe","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AHXCDM6Lv8jwiyM8Gqp3x4","type":"tool_result","content":" 750→\t\tquery = BuildWhereClause(f, query)\n 751→\t}\n 752→\n 753→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 754→\tif err != nil {\n 755→\t\tcclog.Error(\"Error while running query\")\n 756→\t\treturn nil, err\n 757→\t}\n 758→\n 759→\tpoints := make([]*model.HistoPoint, 0)\n 760→\t// is it possible to introduce zero values here? requires info about bincount\n 761→\tfor rows.Next() {\n 762→\t\tpoint := model.HistoPoint{}\n 763→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 764→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 765→\t\t\treturn nil, err\n 766→\t\t}\n 767→\n 768→\t\tpoints = append(points, &point)\n 769→\t}\n 770→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 771→\treturn points, nil\n 772→}\n 773→\n 774→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins."}]},"uuid":"9312004c-3831-4f05-a99c-5cb0f14e9e3c","timestamp":"2026-03-10T20:17:23.914Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"148b34d1-8a0b-4a66-9d18-35ebbcaff268","timestamp":"2026-03-10T20:17:23.915Z"} 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+{"parentUuid":"0f53b2b9-7011-4e03-a160-8807a80a35ee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J1LkyVodLGCwHL1wmZ2uq8","type":"tool_result","content":" 818→\t\tquery = BuildWhereClause(f, query)\n 819→\t}\n 820→\n 821→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 822→\tif err != nil {\n 823→\t\tcclog.Error(\"Error while running query\")\n 824→\t\treturn nil, err\n 825→\t}\n 826→\n 827→\t// Match query results to pre-initialized bins.\n 828→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 829→\tfor rows.Next() {\n 830→\t\tpoint := model.HistoPoint{}\n 831→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 832→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 833→\t\t\treturn nil, err\n 834→\t\t}\n 835→\n 836→\t\tfor _, e := range points {\n 837→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 838→\t\t\t\te.Count = point.Count\n 839→\t\t\t\tbreak\n 840→\t\t\t}\n 841→\t\t}\n 842→\t}\n 843→\n 844→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 845→\treturn points, nil\n 846→}\n 847→\n 848→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 849→//\n 850→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 851→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 852→// and computing bin assignments in SQL."}]},"uuid":"ae80858e-be2b-4aee-909c-b0807a94fa6a","timestamp":"2026-03-10T20:17:25.976Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"b010c206-23ac-4a82-b8f5-ea1549db6c8d","timestamp":"2026-03-10T20:17:25.977Z"} +{"parentUuid":"b010c206-23ac-4a82-b8f5-ea1549db6c8d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-10T20:17:27.083Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012gj8HqbhBEpewwW236m5se","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018eP1tWuMQStVUKH7N2APqQ","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","offset":943,"limit":40},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":483,"cache_read_input_tokens":96294,"cache_creation":{"ephemeral_5m_input_tokens":483,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1tpRjpJt2SMLPYCkKc","uuid":"25ba8ed8-8d8b-4794-a725-d457fc11fa9e"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"e3dcfcfb-b0e1-408f-9c25-930eaef6d6fa","timestamp":"2026-03-10T20:17:27.084Z"} +{"parentUuid":"e3dcfcfb-b0e1-408f-9c25-930eaef6d6fa","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018eP1tWuMQStVUKH7N2APqQ","type":"tool_result","content":" 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}\n 960→\t\tpoints = append(points, &epoint)\n 961→\t}\n 962→\n 963→\t// Match query results to pre-initialized bins.\n 964→\tfor rows.Next() {\n 965→\t\trpoint := model.MetricHistoPoint{}\n 966→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 967→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 968→\t\t\treturn nil, err\n 969→\t\t}\n 970→\n 971→\t\tfor _, e := range points {\n 972→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 973→\t\t\t\te.Count = rpoint.Count\n 974→\t\t\t\tbreak\n 975→\t\t\t}\n 976→\t\t}\n 977→\t}\n 978→\n 979→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 980→\n 981→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 982→\treturn &result, nil"}]},"uuid":"f1607850-5148-47fe-b1ec-651f486a55d9","timestamp":"2026-03-10T20:17:27.106Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"a0d5f500-e473-423a-af16-0dd17739dba5","timestamp":"2026-03-10T20:17:27.108Z"} +{"parentUuid":"a0d5f500-e473-423a-af16-0dd17739dba5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","toolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","timestamp":"2026-03-10T20:17:50.480Z","uuid":"2fc82e98-b33f-449e-b0f3-4fb8f0cbe0ce"} +{"parentUuid":"eec008ac-5086-45d5-8862-076520af7bba","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","type":"tool_result","content":[{"type":"text","text":"Perfect! I've found multiple critical memory leaks. Now let me compile my comprehensive findings report based on my thorough analysis:\n\n## Comprehensive Memory Leak Analysis Report: SQLite3 Query Resource Management\n\nBased on a thorough analysis of all `.go` files in `/Users/jan/prg/CC/cc-backend/internal/repository/`, I have identified **multiple critical memory leaks** related to improper management of SQLite3 query result sets. These are serious issues that can cause significant memory accumulation under normal operation.\n\n### **CRITICAL MEMORY LEAKS FOUND**\n\n#### **1. Missing `defer rows.Close()` in `tags.go` - CountTags() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/tags.go`, lines 282-301\n\n**Issue:** The first query result `xrows` is never explicitly closed:\n```go\nxrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\nif err != nil {\n return nil, nil, err\n}\n\nfor xrows.Next() {\n var t schema.Tag\n if err = xrows.StructScan(&t); err != nil {\n return nil, nil, err // <-- xrows leaked here, no Close()\n }\n // ... process tag ...\n}\n// <-- xrows leaks here too, no defer and no explicit Close() at end\n```\n\n**Impact:** Every call to `CountTags()` without errors leaks one result set. Every error path within the loop leaks the result set. This is a high-frequency function that processes tag data.\n\n**Root Cause:** No `defer rows.Close()` statement after checking the error condition. The loop can return early without closing.\n\n---\n\n#### **2. Missing `defer rows.Close()` in `stats.go` - JobsStatsGrouped() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 233-248\n\n**Issue:** Query result set has no defer or explicit close before potential early returns:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\nstats := make([]*model.JobsStatistics, 0, 100)\n\nfor rows.Next() {\n // ... scan data ...\n if err := rows.Scan(...); err != nil {\n cclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n return nil, err // <-- rows leaked, no Close()\n }\n}\n```\n\n**Impact:** Large result sets from `JobsStatsGrouped()` are leaked on any scan error. Statistics queries can return many rows.\n\n---\n\n#### **3. Missing `defer rows.Close()` in `stats.go` - JobCountGrouped() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 438-460\n\n**Issue:** Same pattern as above - no protection against early returns:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\nstats := make([]*model.JobsStatistics, 0, 100)\n\nfor rows.Next() {\n var id sql.NullString\n var cnt sql.NullInt64\n if err := rows.Scan(&id, &cnt); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n```\n\n---\n\n#### **4. Missing `defer rows.Close()` in `stats.go` - AddJobCountGrouped() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 494-512\n\n**Issue:** Another unprotected query result set:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\ncounts := make(map[string]int)\n\nfor rows.Next() {\n var id sql.NullString\n var cnt sql.NullInt64\n if err := rows.Scan(&id, &cnt); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n```\n\n---\n\n#### **5. Missing `defer rows.Close()` in `stats.go` - AddJobCount() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 553-569\n\n**Issue:** Unprotected result set in count aggregation:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\nvar count int\n\nfor rows.Next() {\n var cnt sql.NullInt64\n if err := rows.Scan(&cnt); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n```\n\n---\n\n#### **6. Missing `defer rows.Close()` in `stats.go` - jobsStatisticsHistogram() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 753-771\n\n**Issue:** Histogram generation query with no resource cleanup:\n```go\nrows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nif err != nil {\n cclog.Error(\"Error while running query\")\n return nil, err\n}\n\npoints := make([]*model.HistoPoint, 0)\nfor rows.Next() {\n point := model.HistoPoint{}\n if err := rows.Scan(&point.Value, &point.Count); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n points = append(points, &point)\n}\ncclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\nreturn points, nil // <-- rows leaked even on success\n```\n\n**Impact:** Every histogram query leaks memory. Histograms are used for visualization and can be called frequently.\n\n---\n\n#### **7. Missing `defer rows.Close()` in `stats.go` - jobsDurationStatisticsHistogram() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 821-845\n\n**Issue:** Another histogram function with the same pattern:\n```go\nrows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nif err != nil {\n cclog.Error(\"Error while running query\")\n return nil, err\n}\n\n// ... loop that processes rows ...\nfor rows.Next() {\n // ... scan and process ...\n if err := rows.Scan(&point.Value, &point.Count); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n}\nreturn points, nil // <-- rows leaked on success\n```\n\n---\n\n#### **8. Missing `defer rows.Close()` in `stats.go` - jobsMetricStatisticsHistogram() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 946-977\n\n**Issue:** Metric histogram query with no defer:\n```go\nrows, err := mainQuery.RunWith(r.DB).Query()\nif err != nil {\n cclog.Errorf(\"Error while running mainQuery: %s\", err)\n return nil, err\n}\n\n// Pre-initialize bins...\npoints := make([]*model.MetricHistoPoint, 0)\n// ...\n\nfor rows.Next() {\n rpoint := model.MetricHistoPoint{}\n if err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n cclog.Warnf(\"Error while scanning rows for %s\", metric)\n return nil, err // <-- rows leaked\n }\n // ... process point ...\n}\n\nresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\ncclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\nreturn &result, nil // <-- rows leaked on success\n```\n\n---\n\n#### **9. Incomplete Error Handling in `node.go` - QueryNodes() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/node.go`, lines 370-382\n\n**Issue:** Missing `defer` statement combined with error paths that close rows but not on success:\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n queryString, queryVars, _ := query.ToSql()\n cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n return nil, err // <-- safe, no rows yet\n}\n\nnodes := make([]*schema.Node, 0)\nfor rows.Next() {\n node := schema.Node{}\n if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n &node.NodeState, &node.HealthState); err != nil {\n rows.Close() // <-- explicit close only in error path\n cclog.Warn(\"Error while scanning rows (QueryNodes)\")\n return nil, err\n }\n nodes = append(nodes, &node)\n}\n\nreturn nodes, nil // <-- LEAK: rows never closed on success path\n```\n\n**Impact:** Every successful node query leaks its result set.\n\n---\n\n#### **10. Incomplete Error Handling in `node.go` - QueryNodesWithMeta() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/node.go`, lines 420-457\n\n**Issue:** Identical pattern to QueryNodes():\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n queryString, queryVars, _ := query.ToSql()\n cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n return nil, err\n}\n\nnodes := make([]*schema.Node, 0)\nfor rows.Next() {\n node := schema.Node{}\n RawMetaData := make([]byte, 0)\n RawMetricHealth := make([]byte, 0)\n\n if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n rows.Close() // <-- only in error path\n cclog.Warn(\"Error while scanning rows (QueryNodes)\")\n return nil, err\n }\n // ... JSON unmarshaling that can also fail without closing rows ...\n if err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n cclog.Warn(\"Error while unmarshaling raw metadata json\")\n return nil, err // <-- LEAK: rows never closed\n }\n // ...\n}\n\nreturn nodes, nil // <-- LEAK: rows never closed on success\n```\n\n**Impact:** Large metadata result sets leak on every successful query.\n\n---\n\n### **SUMMARY OF MEMORY LEAK PATTERNS**\n\n| File | Function | Issue Type | Severity |\n|------|----------|-----------|----------|\n| tags.go | CountTags() | No defer, direct returns leak xrows | **CRITICAL** |\n| stats.go | JobsStatsGrouped() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | JobCountGrouped() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | AddJobCountGrouped() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | AddJobCount() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | jobsStatisticsHistogram() | No defer, success path leaks | **CRITICAL** |\n| stats.go | jobsDurationStatisticsHistogram() | No defer, success path leaks | **CRITICAL** |\n| stats.go | jobsMetricStatisticsHistogram() | No defer, success path leaks | **CRITICAL** |\n| node.go | QueryNodes() | Missing defer, success path leaks | **CRITICAL** |\n| node.go | QueryNodesWithMeta() | Missing defer, multiple paths leak | **CRITICAL** |\n\n### **IMPACT ASSESSMENT**\n\n- **Memory Leak Scope**: Each undeferred query result can consume MB of memory (depends on row count and query size)\n- **Frequency**: High-frequency operations (stats, histograms) called on every dashboard load, API request\n- **Accumulation**: Long-running server will accumulate memory leaks continuously\n- **Root Cause**: Inconsistent patterns - some functions use `defer rows.Close()`, others attempt to handle manually but incompletely\n\n### **AFFECTED CODE PATHS**\n\n- Dashboard statistics/aggregations\n- Histogram generation for visualization\n- Node state queries\n- Tag management operations\n- Job statistics counting\n\nAll of these are user-facing features that are called frequently in normal operations.\n\n### **FILES REQUIRING FIX**\n\n- `/Users/jan/prg/CC/cc-backend/internal/repository/tags.go`\n- `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`\n- `/Users/jan/prg/CC/cc-backend/internal/repository/node.go`"},{"type":"text","text":"agentId: a03483f2df2e8cef0 (for resuming to continue this agent's work if needed)\ntotal_tokens: 101903\ntool_uses: 33\nduration_ms: 98991"}]}]},"uuid":"cf39e2b7-3e3a-44b0-ad2a-b98882921776","timestamp":"2026-03-10T20:17:50.479Z","toolUseResult":{"status":"completed","prompt":"Very thoroughly explore the database query code in this Go project for potential memory leaks related to SQLite3. Focus on:\n\n1. All files in `internal/repository/` - read every .go file (not _test.go) completely\n2. Any place where `db.Query`, `db.QueryRow`, `db.QueryContext`, `sq.Query`, `squirrel` query builder `.Query()` is called\n3. Look for patterns where `rows` from queries are NOT properly closed with `defer rows.Close()` or `rows.Close()`\n4. Look for patterns where errors between `Query()` and the row scanning loop could cause rows to not be closed\n5. Look for any `sql.Rows` that could leak - especially in error paths\n6. Check if there are any unbounded queries (no LIMIT) that could cause massive memory allocation\n7. Look at how the squirrel query builder is used - particularly `RunWith()` and whether results are properly handled\n\nRead all .go files in internal/repository/ completely. Also check internal/graph/schema.resolvers.go and internal/api/ for any direct DB access.","agentId":"a03483f2df2e8cef0","content":[{"type":"text","text":"Perfect! I've found multiple critical memory leaks. Now let me compile my comprehensive findings report based on my thorough analysis:\n\n## Comprehensive Memory Leak Analysis Report: SQLite3 Query Resource Management\n\nBased on a thorough analysis of all `.go` files in `/Users/jan/prg/CC/cc-backend/internal/repository/`, I have identified **multiple critical memory leaks** related to improper management of SQLite3 query result sets. These are serious issues that can cause significant memory accumulation under normal operation.\n\n### **CRITICAL MEMORY LEAKS FOUND**\n\n#### **1. Missing `defer rows.Close()` in `tags.go` - CountTags() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/tags.go`, lines 282-301\n\n**Issue:** The first query result `xrows` is never explicitly closed:\n```go\nxrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\nif err != nil {\n return nil, nil, err\n}\n\nfor xrows.Next() {\n var t schema.Tag\n if err = xrows.StructScan(&t); err != nil {\n return nil, nil, err // <-- xrows leaked here, no Close()\n }\n // ... process tag ...\n}\n// <-- xrows leaks here too, no defer and no explicit Close() at end\n```\n\n**Impact:** Every call to `CountTags()` without errors leaks one result set. Every error path within the loop leaks the result set. This is a high-frequency function that processes tag data.\n\n**Root Cause:** No `defer rows.Close()` statement after checking the error condition. The loop can return early without closing.\n\n---\n\n#### **2. Missing `defer rows.Close()` in `stats.go` - JobsStatsGrouped() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 233-248\n\n**Issue:** Query result set has no defer or explicit close before potential early returns:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\nstats := make([]*model.JobsStatistics, 0, 100)\n\nfor rows.Next() {\n // ... scan data ...\n if err := rows.Scan(...); err != nil {\n cclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n return nil, err // <-- rows leaked, no Close()\n }\n}\n```\n\n**Impact:** Large result sets from `JobsStatsGrouped()` are leaked on any scan error. Statistics queries can return many rows.\n\n---\n\n#### **3. Missing `defer rows.Close()` in `stats.go` - JobCountGrouped() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 438-460\n\n**Issue:** Same pattern as above - no protection against early returns:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\nstats := make([]*model.JobsStatistics, 0, 100)\n\nfor rows.Next() {\n var id sql.NullString\n var cnt sql.NullInt64\n if err := rows.Scan(&id, &cnt); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n```\n\n---\n\n#### **4. Missing `defer rows.Close()` in `stats.go` - AddJobCountGrouped() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 494-512\n\n**Issue:** Another unprotected query result set:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\ncounts := make(map[string]int)\n\nfor rows.Next() {\n var id sql.NullString\n var cnt sql.NullInt64\n if err := rows.Scan(&id, &cnt); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n```\n\n---\n\n#### **5. Missing `defer rows.Close()` in `stats.go` - AddJobCount() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 553-569\n\n**Issue:** Unprotected result set in count aggregation:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n cclog.Warn(\"Error while querying DB for job statistics\")\n return nil, err\n}\n\nvar count int\n\nfor rows.Next() {\n var cnt sql.NullInt64\n if err := rows.Scan(&cnt); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n```\n\n---\n\n#### **6. Missing `defer rows.Close()` in `stats.go` - jobsStatisticsHistogram() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 753-771\n\n**Issue:** Histogram generation query with no resource cleanup:\n```go\nrows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nif err != nil {\n cclog.Error(\"Error while running query\")\n return nil, err\n}\n\npoints := make([]*model.HistoPoint, 0)\nfor rows.Next() {\n point := model.HistoPoint{}\n if err := rows.Scan(&point.Value, &point.Count); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n points = append(points, &point)\n}\ncclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\nreturn points, nil // <-- rows leaked even on success\n```\n\n**Impact:** Every histogram query leaks memory. Histograms are used for visualization and can be called frequently.\n\n---\n\n#### **7. Missing `defer rows.Close()` in `stats.go` - jobsDurationStatisticsHistogram() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 821-845\n\n**Issue:** Another histogram function with the same pattern:\n```go\nrows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nif err != nil {\n cclog.Error(\"Error while running query\")\n return nil, err\n}\n\n// ... loop that processes rows ...\nfor rows.Next() {\n // ... scan and process ...\n if err := rows.Scan(&point.Value, &point.Count); err != nil {\n cclog.Warn(\"Error while scanning rows\")\n return nil, err // <-- rows leaked\n }\n}\nreturn points, nil // <-- rows leaked on success\n```\n\n---\n\n#### **8. Missing `defer rows.Close()` in `stats.go` - jobsMetricStatisticsHistogram() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`, lines 946-977\n\n**Issue:** Metric histogram query with no defer:\n```go\nrows, err := mainQuery.RunWith(r.DB).Query()\nif err != nil {\n cclog.Errorf(\"Error while running mainQuery: %s\", err)\n return nil, err\n}\n\n// Pre-initialize bins...\npoints := make([]*model.MetricHistoPoint, 0)\n// ...\n\nfor rows.Next() {\n rpoint := model.MetricHistoPoint{}\n if err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n cclog.Warnf(\"Error while scanning rows for %s\", metric)\n return nil, err // <-- rows leaked\n }\n // ... process point ...\n}\n\nresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\ncclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\nreturn &result, nil // <-- rows leaked on success\n```\n\n---\n\n#### **9. Incomplete Error Handling in `node.go` - QueryNodes() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/node.go`, lines 370-382\n\n**Issue:** Missing `defer` statement combined with error paths that close rows but not on success:\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n queryString, queryVars, _ := query.ToSql()\n cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n return nil, err // <-- safe, no rows yet\n}\n\nnodes := make([]*schema.Node, 0)\nfor rows.Next() {\n node := schema.Node{}\n if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n &node.NodeState, &node.HealthState); err != nil {\n rows.Close() // <-- explicit close only in error path\n cclog.Warn(\"Error while scanning rows (QueryNodes)\")\n return nil, err\n }\n nodes = append(nodes, &node)\n}\n\nreturn nodes, nil // <-- LEAK: rows never closed on success path\n```\n\n**Impact:** Every successful node query leaks its result set.\n\n---\n\n#### **10. Incomplete Error Handling in `node.go` - QueryNodesWithMeta() function**\n\n**Location:** `/Users/jan/prg/CC/cc-backend/internal/repository/node.go`, lines 420-457\n\n**Issue:** Identical pattern to QueryNodes():\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n queryString, queryVars, _ := query.ToSql()\n cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n return nil, err\n}\n\nnodes := make([]*schema.Node, 0)\nfor rows.Next() {\n node := schema.Node{}\n RawMetaData := make([]byte, 0)\n RawMetricHealth := make([]byte, 0)\n\n if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n rows.Close() // <-- only in error path\n cclog.Warn(\"Error while scanning rows (QueryNodes)\")\n return nil, err\n }\n // ... JSON unmarshaling that can also fail without closing rows ...\n if err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n cclog.Warn(\"Error while unmarshaling raw metadata json\")\n return nil, err // <-- LEAK: rows never closed\n }\n // ...\n}\n\nreturn nodes, nil // <-- LEAK: rows never closed on success\n```\n\n**Impact:** Large metadata result sets leak on every successful query.\n\n---\n\n### **SUMMARY OF MEMORY LEAK PATTERNS**\n\n| File | Function | Issue Type | Severity |\n|------|----------|-----------|----------|\n| tags.go | CountTags() | No defer, direct returns leak xrows | **CRITICAL** |\n| stats.go | JobsStatsGrouped() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | JobCountGrouped() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | AddJobCountGrouped() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | AddJobCount() | No defer, scan errors leak rows | **CRITICAL** |\n| stats.go | jobsStatisticsHistogram() | No defer, success path leaks | **CRITICAL** |\n| stats.go | jobsDurationStatisticsHistogram() | No defer, success path leaks | **CRITICAL** |\n| stats.go | jobsMetricStatisticsHistogram() | No defer, success path leaks | **CRITICAL** |\n| node.go | QueryNodes() | Missing defer, success path leaks | **CRITICAL** |\n| node.go | QueryNodesWithMeta() | Missing defer, multiple paths leak | **CRITICAL** |\n\n### **IMPACT ASSESSMENT**\n\n- **Memory Leak Scope**: Each undeferred query result can consume MB of memory (depends on row count and query size)\n- **Frequency**: High-frequency operations (stats, histograms) called on every dashboard load, API request\n- **Accumulation**: Long-running server will accumulate memory leaks continuously\n- **Root Cause**: Inconsistent patterns - some functions use `defer rows.Close()`, others attempt to handle manually but incompletely\n\n### **AFFECTED CODE PATHS**\n\n- Dashboard statistics/aggregations\n- Histogram generation for visualization\n- Node state queries\n- Tag management operations\n- Job statistics counting\n\nAll of these are user-facing features that are called frequently in normal operations.\n\n### **FILES REQUIRING FIX**\n\n- `/Users/jan/prg/CC/cc-backend/internal/repository/tags.go`\n- `/Users/jan/prg/CC/cc-backend/internal/repository/stats.go`\n- `/Users/jan/prg/CC/cc-backend/internal/repository/node.go`"}],"totalDurationMs":98991,"totalTokens":101903,"totalToolUseCount":33,"usage":{"input_tokens":1,"cache_creation_input_tokens":1693,"cache_read_input_tokens":96777,"output_tokens":3432,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1693},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"eec008ac-5086-45d5-8862-076520af7bba"} +{"parentUuid":"cf39e2b7-3e3a-44b0-ad2a-b98882921776","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01HNFatZukntjG5DoESsaYCM","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EtICCkYICxgCKkCeCLDuH7zeF3EEbOGzD0Y4EQg/BGJoH60C2mNIr4ysA7kfLqVHDafbUNEgpghEiLv+SDwNMvVrgA9bWSQyOZn4EgzC+Nvigz00Wr8RalYaDDqyYI4Qa/uScjOPjyIw0IJWwnSyYSMm8crZ7MfLrU9XpSakr63b7FOltJ+rUPL20hLZcvu8bhRHLtT8dbbeKrkBtxF5Yh4t7nHB2lXWRXGYOdqNlWif6JqZhXgnGIxEQQzS+OYrjA9hr0IwIa1oZBCb13Htu5MCFTY3GKSL6leQxkmTUs+tJZZZhW1op4icWgLAPb+QsqMlQxlIuymLa38LLuegMQRE7JqbpxuLqTq38aNV+Iv6LQW7g0TnynA5X1FzGYL/LpfkTJjEWbr0c14gY9rFnxgdEBnQCTTKoDBMEqW9xaP0GqeKwFA8URJIB8/3Uu9iykVt9vYYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3928,"cache_read_input_tokens":16943,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3928},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1vn5f4RT7at4GhTEBo","type":"assistant","uuid":"ce0a683e-e651-4486-9358-4ca55ef8adfb","timestamp":"2026-03-10T20:17:53.941Z"} +{"parentUuid":"ce0a683e-e651-4486-9358-4ca55ef8adfb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01HNFatZukntjG5DoESsaYCM","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent findings. Let me verify the key issues directly and also check `jobQuery.go` (which the user has open)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3928,"cache_read_input_tokens":16943,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3928},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1vn5f4RT7at4GhTEBo","type":"assistant","uuid":"b37fdc78-75d2-45f4-a338-88c9a743d797","timestamp":"2026-03-10T20:17:54.909Z"} +{"parentUuid":"b37fdc78-75d2-45f4-a338-88c9a743d797","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01HNFatZukntjG5DoESsaYCM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FvWME8ztqeAW4Q7X2x6c1C","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3928,"cache_read_input_tokens":16943,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3928},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1vn5f4RT7at4GhTEBo","type":"assistant","uuid":"9c8f52ee-4aa7-458e-a7d4-53315b623401","timestamp":"2026-03-10T20:17:55.464Z"} +{"parentUuid":"9c8f52ee-4aa7-458e-a7d4-53315b623401","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FvWME8ztqeAW4Q7X2x6c1C","toolUseID":"toolu_01FvWME8ztqeAW4Q7X2x6c1C","timestamp":"2026-03-10T20:17:55.759Z","uuid":"ca9c6445-2849-4e51-8a48-a16f363e0160"} +{"parentUuid":"9c8f52ee-4aa7-458e-a7d4-53315b623401","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FvWME8ztqeAW4Q7X2x6c1C","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\n 239→\tstats := make([]*model.JobsStatistics, 0, 100)\n 240→\n 241→\tfor rows.Next() {\n 242→\t\tvar id sql.NullString\n 243→\t\tvar name sql.NullString\n 244→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 245→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 246→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 247→\t\t\treturn nil, err\n 248→\t\t}\n 249→\n 250→\t\tif id.Valid {\n 251→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 252→\t\t\tvar personName string\n 253→\n 254→\t\t\tif name.Valid {\n 255→\t\t\t\tpersonName = name.String\n 256→\t\t\t}\n 257→\n 258→\t\t\tif jobs.Valid {\n 259→\t\t\t\ttotalJobs = int(jobs.Int64)\n 260→\t\t\t}\n 261→\n 262→\t\t\tif users.Valid {\n 263→\t\t\t\ttotalUsers = int(users.Int64)\n 264→\t\t\t}\n 265→\n 266→\t\t\tif walltime.Valid {\n 267→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 268→\t\t\t}\n 269→\n 270→\t\t\tif nodes.Valid {\n 271→\t\t\t\ttotalNodes = int(nodes.Int64)\n 272→\t\t\t}\n 273→\t\t\tif cores.Valid {\n 274→\t\t\t\ttotalCores = int(cores.Int64)\n 275→\t\t\t}\n 276→\t\t\tif accs.Valid {\n 277→\t\t\t\ttotalAccs = int(accs.Int64)\n 278→\t\t\t}\n 279→\n 280→\t\t\tif nodeHours.Valid {\n 281→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 282→\t\t\t}\n 283→\t\t\tif coreHours.Valid {\n 284→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 285→\t\t\t}\n 286→\t\t\tif accHours.Valid {\n 287→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 288→\t\t\t}\n 289→\n 290→\t\t\tif col == \"job.hpc_user\" {\n 291→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 292→\t\t\t\tstats = append(stats,\n 293→\t\t\t\t\t&model.JobsStatistics{\n 294→\t\t\t\t\t\tID: id.String,\n 295→\t\t\t\t\t\tName: personName,\n 296→\t\t\t\t\t\tTotalJobs: totalJobs,\n 297→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 298→\t\t\t\t\t\tTotalNodes: totalNodes,\n 299→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 300→\t\t\t\t\t\tTotalCores: totalCores,\n 301→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 302→\t\t\t\t\t\tTotalAccs: totalAccs,\n 303→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 304→\t\t\t\t\t})\n 305→\t\t\t} else {\n 306→\t\t\t\tstats = append(stats,\n 307→\t\t\t\t\t&model.JobsStatistics{\n 308→\t\t\t\t\t\tID: id.String,\n 309→\t\t\t\t\t\tTotalJobs: totalJobs,\n 310→\t\t\t\t\t\tTotalUsers: totalUsers,\n 311→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 312→\t\t\t\t\t\tTotalNodes: totalNodes,\n 313→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 314→\t\t\t\t\t\tTotalCores: totalCores,\n 315→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 316→\t\t\t\t\t\tTotalAccs: totalAccs,\n 317→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 318→\t\t\t\t\t})\n 319→\t\t\t}\n 320→\t\t}\n 321→\t}\n 322→\n 323→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 324→\treturn stats, nil\n 325→}\n 326→\n 327→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 328→//\n 329→// This method provides a single aggregate view of job metrics, useful for dashboard\n 330→// summaries and overall system utilization reports.\n 331→//\n 332→// Parameters:\n 333→// - ctx: Context for security checks and cancellation\n 334→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 335→//\n 336→// Returns a single-element slice containing aggregate statistics:\n 337→// - totalJobs, totalUsers, totalWalltime\n 338→// - totalNodeHours, totalCoreHours, totalAccHours\n 339→//\n 340→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 341→// Security checks are applied via SecurityCheck to respect user access levels.\n 342→func (r *JobRepository) JobsStats(\n 343→\tctx context.Context,\n 344→\tfilter []*model.JobFilter,\n 345→) ([]*model.JobsStatistics, error) {\n 346→\tstart := time.Now()\n 347→\tquery := r.buildStatsQuery(filter, \"\")\n 348→\tquery, err := SecurityCheck(ctx, query)\n 349→\tif err != nil {\n 350→\t\treturn nil, err\n 351→\t}\n 352→\n 353→\trow := query.RunWith(r.DB).QueryRow()\n 354→\tstats := make([]*model.JobsStatistics, 0, 1)\n 355→\n 356→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 357→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 358→\t\tcclog.Warn(\"Error while scanning rows\")\n 359→\t\treturn nil, err\n 360→\t}\n 361→\n 362→\tif jobs.Valid {\n 363→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 364→\n 365→\t\tif nodeHours.Valid {\n 366→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 367→\t\t}\n 368→\t\tif coreHours.Valid {\n 369→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 370→\t\t}\n 371→\t\tif accHours.Valid {\n 372→\t\t\ttotalAccHours = int(accHours.Int64)\n 373→\t\t}\n 374→\t\tstats = append(stats,\n 375→\t\t\t&model.JobsStatistics{\n 376→\t\t\t\tTotalJobs: int(jobs.Int64),\n 377→\t\t\t\tTotalUsers: int(users.Int64),\n 378→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 379→\t\t\t\tTotalNodeHours: totalNodeHours,\n 380→\t\t\t\tTotalCoreHours: totalCoreHours,\n 381→\t\t\t\tTotalAccHours: totalAccHours,\n 382→\t\t\t})\n 383→\t}\n 384→\n 385→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 386→\treturn stats, nil\n 387→}\n 388→\n 389→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 390→// Returns 0.0 if the metric is not found or statType is invalid.\n 391→//\n 392→// Parameters:\n 393→// - job: Job struct with populated Statistics field\n 394→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 395→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 396→//\n 397→// Returns the requested statistic value or 0.0 if not found.\n 398→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 399→\tif stats, ok := job.Statistics[metric]; ok {\n 400→\t\tswitch statType {\n 401→\t\tcase \"avg\":\n 402→\t\t\treturn stats.Avg\n 403→\t\tcase \"max\":\n 404→\t\t\treturn stats.Max\n 405→\t\tcase \"min\":\n 406→\t\t\treturn stats.Min\n 407→\t\tdefault:\n 408→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 409→\t\t}\n 410→\t}\n 411→\n 412→\treturn 0.0\n 413→}\n 414→\n 415→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 416→//\n 417→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 418→// avoiding the overhead of calculating walltime and resource usage metrics.\n 419→//\n 420→// Parameters:\n 421→// - ctx: Context for security checks\n 422→// - filter: Filters to apply\n 423→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 424→//\n 425→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 426→func (r *JobRepository) JobCountGrouped(\n 427→\tctx context.Context,\n 428→\tfilter []*model.JobFilter,\n 429→\tgroupBy *model.Aggregate,\n 430→) ([]*model.JobsStatistics, error) {\n 431→\tstart := time.Now()\n 432→\tcol := groupBy2column[*groupBy]\n 433→\tquery := r.buildCountQuery(filter, \"\", col)\n 434→\tquery, err := SecurityCheck(ctx, query)\n 435→\tif err != nil {\n 436→\t\treturn nil, err\n 437→\t}\n 438→\trows, err := query.RunWith(r.DB).Query()\n 439→\tif err != nil {\n 440→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 441→\t\treturn nil, err\n 442→\t}\n 443→\n 444→\tstats := make([]*model.JobsStatistics, 0, 100)\n 445→\n 446→\tfor rows.Next() {\n 447→\t\tvar id sql.NullString\n 448→\t\tvar cnt sql.NullInt64\n 449→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 450→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 451→\t\t\treturn nil, err\n 452→\t\t}\n 453→\t\tif id.Valid {\n 454→\t\t\tstats = append(stats,\n 455→\t\t\t\t&model.JobsStatistics{\n 456→\t\t\t\t\tID: id.String,\n 457→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 458→\t\t\t\t})\n 459→\t\t}\n 460→\t}\n 461→\n 462→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 463→\treturn stats, nil\n 464→}\n 465→\n 466→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 467→//\n 468→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 469→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 470→//\n 471→// Parameters:\n 472→// - ctx: Context for security checks\n 473→// - filter: Filters to apply\n 474→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 475→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 476→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 477→//\n 478→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 479→// Groups without matching jobs will have 0 for the added field.\n 480→func (r *JobRepository) AddJobCountGrouped(\n 481→\tctx context.Context,\n 482→\tfilter []*model.JobFilter,\n 483→\tgroupBy *model.Aggregate,\n 484→\tstats []*model.JobsStatistics,\n 485→\tkind string,\n 486→) ([]*model.JobsStatistics, error) {\n 487→\tstart := time.Now()\n 488→\tcol := groupBy2column[*groupBy]\n 489→\tquery := r.buildCountQuery(filter, kind, col)\n 490→\tquery, err := SecurityCheck(ctx, query)\n 491→\tif err != nil {\n 492→\t\treturn nil, err\n 493→\t}\n 494→\trows, err := query.RunWith(r.DB).Query()\n 495→\tif err != nil {\n 496→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 497→\t\treturn nil, err\n 498→\t}\n 499→\n 500→\tcounts := make(map[string]int)\n 501→\n 502→\tfor rows.Next() {\n 503→\t\tvar id sql.NullString\n 504→\t\tvar cnt sql.NullInt64\n 505→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 506→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 507→\t\t\treturn nil, err\n 508→\t\t}\n 509→\t\tif id.Valid {\n 510→\t\t\tcounts[id.String] = int(cnt.Int64)\n 511→\t\t}\n 512→\t}\n 513→\n 514→\tswitch kind {\n 515→\tcase \"running\":\n 516→\t\tfor _, s := range stats {\n 517→\t\t\ts.RunningJobs = counts[s.ID]\n 518→\t\t}\n 519→\tcase \"short\":\n 520→\t\tfor _, s := range stats {\n 521→\t\t\ts.ShortJobs = counts[s.ID]\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 526→\treturn stats, nil\n 527→}\n 528→\n 529→// AddJobCount augments existing overall statistics with additional job counts by category.\n 530→//\n 531→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 532→// to all statistics entries (typically just one).\n 533→//\n 534→// Parameters:\n 535→// - ctx: Context for security checks\n 536→// - filter: Filters to apply\n 537→// - stats: Existing statistics to augment (modified in-place)\n 538→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 539→//\n 540→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 541→func (r *JobRepository) AddJobCount(\n 542→\tctx context.Context,\n 543→\tfilter []*model.JobFilter,\n 544→\tstats []*model.JobsStatistics,\n 545→\tkind string,\n 546→) ([]*model.JobsStatistics, error) {\n 547→\tstart := time.Now()\n 548→\tquery := r.buildCountQuery(filter, kind, \"\")\n 549→\tquery, err := SecurityCheck(ctx, query)\n 550→\tif err != nil {\n 551→\t\treturn nil, err\n 552→\t}\n 553→\trows, err := query.RunWith(r.DB).Query()\n 554→\tif err != nil {\n 555→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 556→\t\treturn nil, err\n 557→\t}\n 558→\n 559→\tvar count int\n 560→\n 561→\tfor rows.Next() {\n 562→\t\tvar cnt sql.NullInt64\n 563→\t\tif err := rows.Scan(&cnt); err != nil {\n 564→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\n 568→\t\tcount = int(cnt.Int64)\n 569→\t}\n 570→\n 571→\tswitch kind {\n 572→\tcase \"running\":\n 573→\t\tfor _, s := range stats {\n 574→\t\t\ts.RunningJobs = count\n 575→\t\t}\n 576→\tcase \"short\":\n 577→\t\tfor _, s := range stats {\n 578→\t\t\ts.ShortJobs = count\n 579→\t\t}\n 580→\t}\n 581→\n 582→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 583→\treturn stats, nil\n 584→}\n 585→\n 586→// AddHistograms augments statistics with distribution histograms for job properties.\n 587→//\n 588→// Generates histogram data for visualization of job duration, node count, core count,\n 589→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 590→// on the requested resolution.\n 591→//\n 592→// Parameters:\n 593→// - ctx: Context for security checks\n 594→// - filter: Filters to apply to jobs included in histograms\n 595→// - stat: Statistics struct to augment (modified in-place)\n 596→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 597→//\n 598→// Populates these fields in stat:\n 599→// - HistDuration: Job duration distribution (zero-padded bins)\n 600→// - HistNumNodes: Node count distribution\n 601→// - HistNumCores: Core (hwthread) count distribution\n 602→// - HistNumAccs: Accelerator count distribution\n 603→//\n 604→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 605→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 606→func (r *JobRepository) AddHistograms(\n 607→\tctx context.Context,\n 608→\tfilter []*model.JobFilter,\n 609→\tstat *model.JobsStatistics,\n 610→\tdurationBins *string,\n 611→) (*model.JobsStatistics, error) {\n 612→\tstart := time.Now()\n 613→\n 614→\tvar targetBinCount int\n 615→\tvar targetBinSize int\n 616→\tswitch *durationBins {\n 617→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 618→\t\ttargetBinCount = 60\n 619→\t\ttargetBinSize = 60\n 620→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 621→\t\ttargetBinCount = 72\n 622→\t\ttargetBinSize = 600\n 623→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 624→\t\ttargetBinCount = 48\n 625→\t\ttargetBinSize = 3600\n 626→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 627→\t\ttargetBinCount = 12\n 628→\t\ttargetBinSize = 21600\n 629→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 630→\t\ttargetBinCount = 14\n 631→\t\ttargetBinSize = 43200\n 632→\tdefault: // 24h\n 633→\t\ttargetBinCount = 24\n 634→\t\ttargetBinSize = 3600\n 635→\t}\n 636→\n 637→\tvar err error\n 638→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 639→\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 640→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 641→\tif err != nil {\n 642→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 643→\t\treturn nil, err\n 644→\t}\n 645→\n 646→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 647→\tif err != nil {\n 648→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 649→\t\treturn nil, err\n 650→\t}\n 651→\n 652→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 653→\tif err != nil {\n 654→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 655→\t\treturn nil, err\n 656→\t}\n 657→\n 658→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 659→\tif err != nil {\n 660→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 661→\t\treturn nil, err\n 662→\t}\n 663→\n 664→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 665→\treturn stat, nil\n 666→}\n 667→\n 668→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 669→//\n 670→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 671→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 672→// use footprint data from database.\n 673→//\n 674→// Parameters:\n 675→// - ctx: Context for security checks\n 676→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 677→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 678→// - stat: Statistics struct to augment (modified in-place)\n 679→// - targetBinCount: Number of histogram bins (default: 10)\n 680→//\n 681→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 682→//\n 683→// Binning algorithm:\n 684→// - Values normalized to metric's peak value from cluster configuration\n 685→// - Bins evenly distributed from 0 to peak\n 686→// - Pre-initialized with zeros for consistent visualization\n 687→//\n 688→// Limitations:\n 689→// - Running jobs: Limited to 5000 jobs for performance\n 690→// - Requires valid cluster configuration with metric peak values\n 691→// - Uses footprint statistic (avg/max/min) configured per metric\n 692→func (r *JobRepository) AddMetricHistograms(\n 693→\tctx context.Context,\n 694→\tfilter []*model.JobFilter,\n 695→\tmetrics []string,\n 696→\tstat *model.JobsStatistics,\n 697→\ttargetBinCount *int,\n 698→) (*model.JobsStatistics, error) {\n 699→\tstart := time.Now()\n 700→\n 701→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 702→\tfor _, f := range filter {\n 703→\t\tif f.State != nil {\n 704→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 705→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 706→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 707→\t\t\t\treturn stat, nil\n 708→\t\t\t}\n 709→\t\t}\n 710→\t}\n 711→\n 712→\t// All other cases: Query and make bins in sqlite directly\n 713→\tfor _, m := range metrics {\n 714→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 715→\t\tif err != nil {\n 716→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 717→\t\t\tcontinue\n 718→\t\t}\n 719→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 720→\t}\n 721→\n 722→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 723→\treturn stat, nil\n 724→}\n 725→\n 726→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 727→//\n 728→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 729→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 730→//\n 731→// Parameters:\n 732→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 733→// - filters: Job filters to apply\n 734→//\n 735→// Returns histogram points with Value (from column) and Count (number of jobs).\n 736→func (r *JobRepository) jobsStatisticsHistogram(\n 737→\tctx context.Context,\n 738→\tvalue string,\n 739→\tfilters []*model.JobFilter,\n 740→) ([]*model.HistoPoint, error) {\n 741→\tstart := time.Now()\n 742→\tquery, qerr := SecurityCheck(ctx,\n 743→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 744→\n 745→\tif qerr != nil {\n 746→\t\treturn nil, qerr\n 747→\t}\n 748→\n 749→\tfor _, f := range filters {\n 750→\t\tquery = BuildWhereClause(f, query)\n 751→\t}\n 752→\n 753→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 754→\tif err != nil {\n 755→\t\tcclog.Error(\"Error while running query\")\n 756→\t\treturn nil, err\n 757→\t}\n 758→\n 759→\tpoints := make([]*model.HistoPoint, 0)\n 760→\t// is it possible to introduce zero values here? requires info about bincount\n 761→\tfor rows.Next() {\n 762→\t\tpoint := model.HistoPoint{}\n 763→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 764→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 765→\t\t\treturn nil, err\n 766→\t\t}\n 767→\n 768→\t\tpoints = append(points, &point)\n 769→\t}\n 770→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 771→\treturn points, nil\n 772→}\n 773→\n 774→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 775→//\n 776→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 777→// histograms which only return bins with data. The value parameter should compute\n 778→// the bin number from job duration.\n 779→//\n 780→// Parameters:\n 781→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 782→// - filters: Job filters to apply\n 783→// - binSizeSeconds: Width of each bin in seconds\n 784→// - targetBinCount: Number of bins to pre-initialize\n 785→//\n 786→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 787→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 788→//\n 789→// Algorithm:\n 790→// 1. Pre-initialize targetBinCount bins with zero counts\n 791→// 2. Query database for actual counts per bin\n 792→// 3. Match query results to pre-initialized bins by value\n 793→// 4. Bins without matches remain at zero\n 794→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 795→\tctx context.Context,\n 796→\tvalue string,\n 797→\tfilters []*model.JobFilter,\n 798→\tbinSizeSeconds int,\n 799→\ttargetBinCount *int,\n 800→) ([]*model.HistoPoint, error) {\n 801→\tstart := time.Now()\n 802→\tquery, qerr := SecurityCheck(ctx,\n 803→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 804→\n 805→\tif qerr != nil {\n 806→\t\treturn nil, qerr\n 807→\t}\n 808→\n 809→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 810→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 811→\tpoints := make([]*model.HistoPoint, 0)\n 812→\tfor i := 1; i <= *targetBinCount; i++ {\n 813→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 814→\t\tpoints = append(points, &point)\n 815→\t}\n 816→\n 817→\tfor _, f := range filters {\n 818→\t\tquery = BuildWhereClause(f, query)\n 819→\t}\n 820→\n 821→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 822→\tif err != nil {\n 823→\t\tcclog.Error(\"Error while running query\")\n 824→\t\treturn nil, err\n 825→\t}\n 826→\n 827→\t// Match query results to pre-initialized bins.\n 828→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 829→\tfor rows.Next() {\n 830→\t\tpoint := model.HistoPoint{}\n 831→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 832→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 833→\t\t\treturn nil, err\n 834→\t\t}\n 835→\n 836→\t\tfor _, e := range points {\n 837→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 838→\t\t\t\te.Count = point.Count\n 839→\t\t\t\tbreak\n 840→\t\t\t}\n 841→\t\t}\n 842→\t}\n 843→\n 844→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 845→\treturn points, nil\n 846→}\n 847→\n 848→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 849→//\n 850→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 851→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 852→// and computing bin assignments in SQL.\n 853→//\n 854→// Parameters:\n 855→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 856→// - filters: Job filters to apply\n 857→// - bins: Number of bins to generate\n 858→//\n 859→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 860→//\n 861→// Algorithm:\n 862→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 863→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 864→// 3. Pre-initialize bins with min/max ranges based on peak value\n 865→// 4. Query database for counts per bin\n 866→// 5. Match results to pre-initialized bins\n 867→//\n 868→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 869→// peak by 0.999999999 to avoid creating an extra bin.\n 870→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 871→\tctx context.Context,\n 872→\tmetric string,\n 873→\tfilters []*model.JobFilter,\n 874→\tbins *int,\n 875→) (*model.MetricHistoPoints, error) {\n 876→\t// Peak value defines the upper bound for binning: values are distributed across\n 877→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 878→\t// scan all clusters to find the maximum peak value.\n 879→\tvar metricConfig *schema.MetricConfig\n 880→\tvar peak float64\n 881→\tvar unit string\n 882→\tvar footprintStat string\n 883→\n 884→\t// Try to get metric config from filtered cluster\n 885→\tfor _, f := range filters {\n 886→\t\tif f.Cluster != nil {\n 887→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 888→\t\t\tpeak = metricConfig.Peak\n 889→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 890→\t\t\tfootprintStat = metricConfig.Footprint\n 891→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 892→\t\t}\n 893→\t}\n 894→\n 895→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 896→\t// This ensures histogram can accommodate all possible values\n 897→\tif peak == 0.0 {\n 898→\t\tfor _, c := range archive.Clusters {\n 899→\t\t\tfor _, m := range c.MetricConfig {\n 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}\n 960→\t\tpoints = append(points, &epoint)\n 961→\t}\n 962→\n 963→\t// Match query results to pre-initialized bins.\n 964→\tfor rows.Next() {\n 965→\t\trpoint := model.MetricHistoPoint{}\n 966→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 967→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 968→\t\t\treturn nil, err\n 969→\t\t}\n 970→\n 971→\t\tfor _, e := range points {\n 972→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 973→\t\t\t\te.Count = rpoint.Count\n 974→\t\t\t\tbreak\n 975→\t\t\t}\n 976→\t\t}\n 977→\t}\n 978→\n 979→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 980→\n 981→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 982→\treturn &result, nil\n 983→}\n 984→\n 985→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 986→//\n 987→// Unlike completed jobs which use footprint data from the database, running jobs require\n 988→// fetching current metric averages from the metric backend (via metricdispatch).\n 989→//\n 990→// Parameters:\n 991→// - metrics: List of metric names\n 992→// - filters: Job filters (should filter to running jobs only)\n 993→// - bins: Number of histogram bins\n 994→//\n 995→// Returns slice of MetricHistoPoints, one per metric.\n 996→//\n 997→// Limitations:\n 998→// - Maximum 5000 jobs (returns nil if more jobs match)\n 999→// - Requires metric backend availability\n 1000→// - Bins based on metric peak values from cluster configuration\n 1001→//\n 1002→// Algorithm:\n 1003→// 1. Query first 5001 jobs to check count limit\n 1004→// 2. Load metric averages for all jobs via metricdispatch\n 1005→// 3. For each metric, create bins based on peak value\n 1006→// 4. Iterate averages and count jobs per bin\n 1007→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1008→\tctx context.Context,\n 1009→\tmetrics []string,\n 1010→\tfilters []*model.JobFilter,\n 1011→\tbins *int,\n 1012→) []*model.MetricHistoPoints {\n 1013→\t// Get Jobs\n 1014→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1015→\tif err != nil {\n 1016→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1017→\t\treturn nil\n 1018→\t}\n 1019→\tif len(jobs) > 5000 {\n 1020→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1021→\t\treturn nil\n 1022→\t}\n 1023→\n 1024→\t// Get AVGs from metric repo\n 1025→\tavgs := make([][]schema.Float, len(metrics))\n 1026→\tfor i := range avgs {\n 1027→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1028→\t}\n 1029→\n 1030→\tfor _, job := range jobs {\n 1031→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1032→\t\t\tcontinue\n 1033→\t\t}\n 1034→\n 1035→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1036→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1037→\t\t\treturn nil\n 1038→\t\t}\n 1039→\t}\n 1040→\n 1041→\t// Iterate metrics to fill endresult\n 1042→\tdata := make([]*model.MetricHistoPoints, 0)\n 1043→\tfor idx, metric := range metrics {\n 1044→\t\t// Get specific Peak or largest Peak\n 1045→\t\tvar metricConfig *schema.MetricConfig\n 1046→\t\tvar peak float64\n 1047→\t\tvar unit string\n 1048→\n 1049→\t\tfor _, f := range filters {\n 1050→\t\t\tif f.Cluster != nil {\n 1051→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1052→\t\t\t\tpeak = metricConfig.Peak\n 1053→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1054→\t\t\t}\n 1055→\t\t}\n 1056→\n 1057→\t\tif peak == 0.0 {\n 1058→\t\t\tfor _, c := range archive.Clusters {\n 1059→\t\t\t\tfor _, m := range c.MetricConfig {\n 1060→\t\t\t\t\tif m.Name == metric {\n 1061→\t\t\t\t\t\tif m.Peak > peak {\n 1062→\t\t\t\t\t\t\tpeak = m.Peak\n 1063→\t\t\t\t\t\t}\n 1064→\t\t\t\t\t\tif unit == \"\" {\n 1065→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1066→\t\t\t\t\t\t}\n 1067→\t\t\t\t\t}\n 1068→\t\t\t\t}\n 1069→\t\t\t}\n 1070→\t\t}\n 1071→\n 1072→\t\t// Make and fill bins\n 1073→\t\tpeakBin := int(peak) / *bins\n 1074→\n 1075→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1076→\t\tfor b := 0; b < *bins; b++ {\n 1077→\t\t\tcount := 0\n 1078→\t\t\tbindex := b + 1\n 1079→\t\t\tbmin := peakBin * b\n 1080→\t\t\tbmax := peakBin * (b + 1)\n 1081→\n 1082→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1083→\t\t\tfor _, val := range avgs[idx] {\n 1084→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1085→\t\t\t\t\tcount += 1\n 1086→\t\t\t\t}\n 1087→\t\t\t}\n 1088→\n 1089→\t\t\t// Append Bin to Metric Result Array\n 1090→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1091→\t\t\tpoints = append(points, &point)\n 1092→\t\t}\n 1093→\n 1094→\t\t// Append Metric Result Array to final results array\n 1095→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1096→\t\tdata = append(data, &result)\n 1097→\t}\n 1098→\n 1099→\treturn data\n 1100→}\n 1101→"}]},"uuid":"cabc643a-80bc-499e-8efd-daf2357a7112","timestamp":"2026-03-10T20:17:55.758Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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","numLines":1101,"startLine":1,"totalLines":1101}},"sourceToolAssistantUUID":"9c8f52ee-4aa7-458e-a7d4-53315b623401"} +{"parentUuid":"cabc643a-80bc-499e-8efd-daf2357a7112","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01HNFatZukntjG5DoESsaYCM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JatJHeJKqA57CPCYE1EC6G","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3928,"cache_read_input_tokens":16943,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3928},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1vn5f4RT7at4GhTEBo","type":"assistant","uuid":"43c9cf4f-a92e-4c63-a194-1601fe425500","timestamp":"2026-03-10T20:17:55.949Z"} +{"parentUuid":"43c9cf4f-a92e-4c63-a194-1601fe425500","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JatJHeJKqA57CPCYE1EC6G","toolUseID":"toolu_01JatJHeJKqA57CPCYE1EC6G","timestamp":"2026-03-10T20:17:55.975Z","uuid":"b4dc9daf-da74-4838-a3f3-94a88ac52c7e"} +{"parentUuid":"43c9cf4f-a92e-4c63-a194-1601fe425500","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JatJHeJKqA57CPCYE1EC6G","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\n 287→\tfor xrows.Next() {\n 288→\t\tvar t schema.Tag\n 289→\t\tif err = xrows.StructScan(&t); err != nil {\n 290→\t\t\treturn nil, nil, err\n 291→\t\t}\n 292→\n 293→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 294→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 295→\t\tif err != nil {\n 296→\t\t\treturn nil, nil, err\n 297→\t\t}\n 298→\t\tif readable {\n 299→\t\t\ttags = append(tags, t)\n 300→\t\t}\n 301→\t}\n 302→\n 303→\t// Query and Count Jobs with attached Tags\n 304→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 305→\t\tFrom(\"tag t\").\n 306→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 307→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 308→\n 309→\t// Build scope list for filtering\n 310→\tvar scopeBuilder strings.Builder\n 311→\tscopeBuilder.WriteString(`\"global\"`)\n 312→\tif user != nil {\n 313→\t\tscopeBuilder.WriteString(`,\"`)\n 314→\t\tscopeBuilder.WriteString(user.Username)\n 315→\t\tscopeBuilder.WriteString(`\"`)\n 316→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 317→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 318→\t\t}\n 319→\t}\n 320→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 321→\n 322→\t// Handle Job Ownership\n 323→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 324→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 325→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 326→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 327→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 328→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 329→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 330→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 331→\t}\n 332→\n 333→\trows, err := q.RunWith(r.stmtCache).Query()\n 334→\tif err != nil {\n 335→\t\treturn nil, nil, err\n 336→\t}\n 337→\n 338→\tcounts = make(map[string]int)\n 339→\tfor rows.Next() {\n 340→\t\tvar tagType string\n 341→\t\tvar tagName string\n 342→\t\tvar tagID int\n 343→\t\tvar count int\n 344→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 345→\t\t\treturn nil, nil, err\n 346→\t\t}\n 347→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 348→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 349→\t}\n 350→\terr = rows.Err()\n 351→\n 352→\treturn tags, counts, err\n 353→}\n 354→\n 355→var (\n 356→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 357→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 358→\n 359→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 360→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 361→\n 362→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 363→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 364→\n 365→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 366→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 367→\n 368→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 369→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 370→\n 371→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 372→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 373→)\n 374→\n 375→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 376→//\n 377→// This function performs three operations atomically:\n 378→// 1. Inserts the job-tag association into the jobtag junction table\n 379→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 380→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 381→//\n 382→// Parameters:\n 383→// - jobId: Database ID of the job\n 384→// - tagId: Database ID of the tag to associate\n 385→// - job: Full job object needed for archive update\n 386→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 387→//\n 388→// Returns the complete updated tag list for the job or an error.\n 389→//\n 390→// Note: This function does NOT validate tag scope permissions - callers must perform\n 391→// authorization checks before invoking this helper.\n 392→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 393→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 394→\n 395→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 396→\t\ts, _, _ := q.ToSql()\n 397→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 398→\t\treturn nil, err\n 399→\t}\n 400→\n 401→\ttags, err := getTags()\n 402→\tif err != nil {\n 403→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\treturn tags, archive.UpdateTags(job, archiveTags)\n 414→}\n 415→\n 416→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 417→// If such a tag does not yet exist, it is created.\n 418→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 419→\t// Default to \"Global\" scope if none defined\n 420→\tif tagScope == \"\" {\n 421→\t\ttagScope = \"global\"\n 422→\t}\n 423→\n 424→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 425→\tif err != nil {\n 426→\t\treturn 0, err\n 427→\t}\n 428→\tif !writable {\n 429→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 430→\t}\n 431→\n 432→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 433→\tif !exists {\n 434→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 435→\t\tif err != nil {\n 436→\t\t\treturn 0, err\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 441→\t\treturn 0, err\n 442→\t}\n 443→\n 444→\treturn tagID, nil\n 445→}\n 446→\n 447→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 448→\ttagScope := \"global\"\n 449→\n 450→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 451→\tif !exists {\n 452→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 453→\t\tif err != nil {\n 454→\t\t\treturn 0, err\n 455→\t\t}\n 456→\t}\n 457→\n 458→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 459→\n 460→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 461→\t\treturn 0, err\n 462→\t}\n 463→\n 464→\treturn tagID, nil\n 465→}\n 466→\n 467→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 468→\tvar id int64\n 469→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 470→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 471→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 472→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 473→\tif err != nil {\n 474→\t\treturn false\n 475→\t} else {\n 476→\t\treturn true\n 477→\t}\n 478→}\n 479→\n 480→// TagID returns the database id of the tag with the specified type and name.\n 481→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 482→\texists = true\n 483→\tif err := sq.Select(\"id\").From(\"tag\").\n 484→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 485→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 486→\t\texists = false\n 487→\t}\n 488→\treturn\n 489→}\n 490→\n 491→// TagInfo returns the database infos of the tag with the specified id.\n 492→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 493→\texists = true\n 494→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 495→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 496→\t\texists = false\n 497→\t}\n 498→\treturn\n 499→}\n 500→\n 501→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 502→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 503→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 504→\tif job != nil {\n 505→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 506→\t}\n 507→\n 508→\trows, err := q.RunWith(r.stmtCache).Query()\n 509→\tif err != nil {\n 510→\t\ts, _, _ := q.ToSql()\n 511→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 512→\t\treturn nil, err\n 513→\t}\n 514→\n 515→\ttags := make([]*schema.Tag, 0)\n 516→\tfor rows.Next() {\n 517→\t\ttag := &schema.Tag{}\n 518→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 519→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 523→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 524→\t\tif err != nil {\n 525→\t\t\treturn nil, err\n 526→\t\t}\n 527→\t\tif readable {\n 528→\t\t\ttags = append(tags, tag)\n 529→\t\t}\n 530→\t}\n 531→\n 532→\treturn tags, nil\n 533→}\n 534→\n 535→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 536→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 537→\tif job != nil {\n 538→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 539→\t}\n 540→\n 541→\trows, err := q.RunWith(r.stmtCache).Query()\n 542→\tif err != nil {\n 543→\t\ts, _, _ := q.ToSql()\n 544→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 545→\t\treturn nil, err\n 546→\t}\n 547→\n 548→\ttags := make([]*schema.Tag, 0)\n 549→\tfor rows.Next() {\n 550→\t\ttag := &schema.Tag{}\n 551→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 552→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 553→\t\t\treturn nil, err\n 554→\t\t}\n 555→\t\ttags = append(tags, tag)\n 556→\t}\n 557→\n 558→\treturn tags, nil\n 559→}\n 560→\n 561→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 562→//\n 563→// This internal function is used exclusively for job archive synchronization where we need\n 564→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 565→// filters by scope, this returns the complete unfiltered tag list.\n 566→//\n 567→// Parameters:\n 568→// - job: Pointer to job database ID, or nil to return all tags in the system\n 569→//\n 570→// Returns all tags without scope filtering, used only for archive operations.\n 571→//\n 572→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 573→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 574→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 575→\tif job != nil {\n 576→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 577→\t}\n 578→\n 579→\trows, err := q.RunWith(r.stmtCache).Query()\n 580→\tif err != nil {\n 581→\t\ts, _, _ := q.ToSql()\n 582→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 583→\t\treturn nil, err\n 584→\t}\n 585→\n 586→\ttags := make([]*schema.Tag, 0)\n 587→\tfor rows.Next() {\n 588→\t\ttag := &schema.Tag{}\n 589→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 590→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 591→\t\t\treturn nil, err\n 592→\t\t}\n 593→\t\ttags = append(tags, tag)\n 594→\t}\n 595→\n 596→\treturn tags, nil\n 597→}\n 598→\n 599→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 600→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 601→\n 602→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 603→\tif !exists {\n 604→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 605→\t\tif err != nil {\n 606→\t\t\treturn err\n 607→\t\t}\n 608→\t}\n 609→\n 610→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 611→\n 612→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 613→\t\ts, _, _ := q.ToSql()\n 614→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 615→\t\treturn err\n 616→\t}\n 617→\n 618→\treturn nil\n 619→}\n 620→\n 621→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 622→//\n 623→// This function implements the tag scope authorization matrix:\n 624→//\n 625→//\tScope | Read Access | Write Access\n 626→//\t-------------|----------------------------------|----------------------------------\n 627→//\t\"global\" | All users | Admin, Support, API-only\n 628→//\t\"admin\" | Admin, Support | Admin, API-only\n 629→//\t | Owner only | Owner only (private tags)\n 630→//\n 631→// Parameters:\n 632→// - user: User attempting the operation (must not be nil)\n 633→// - operation: Either \"read\" or \"write\"\n 634→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 635→//\n 636→// Returns:\n 637→// - pass: true if authorized, false if denied\n 638→// - err: error only if operation is invalid or user is nil\n 639→//\n 640→// Special cases:\n 641→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 642→// - Private tags use the username as scope, granting exclusive access to that user\n 643→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 644→\tif user != nil {\n 645→\t\tswitch {\n 646→\t\tcase operation == \"write\" && scope == \"admin\":\n 647→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 648→\t\t\t\treturn true, nil\n 649→\t\t\t}\n 650→\t\t\treturn false, nil\n 651→\t\tcase operation == \"write\" && scope == \"global\":\n 652→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 653→\t\t\t\treturn true, nil\n 654→\t\t\t}\n 655→\t\t\treturn false, nil\n 656→\t\tcase operation == \"write\" && scope == user.Username:\n 657→\t\t\treturn true, nil\n 658→\t\tcase operation == \"read\" && scope == \"admin\":\n 659→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 660→\t\tcase operation == \"read\" && scope == \"global\":\n 661→\t\t\treturn true, nil\n 662→\t\tcase operation == \"read\" && scope == user.Username:\n 663→\t\t\treturn true, nil\n 664→\t\tdefault:\n 665→\t\t\tif operation == \"read\" || operation == \"write\" {\n 666→\t\t\t\t// No acceptable scope: deny tag\n 667→\t\t\t\treturn false, nil\n 668→\t\t\t} else {\n 669→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 670→\t\t\t}\n 671→\t\t}\n 672→\t} else {\n 673→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 674→\t}\n 675→}\n 676→"}]},"uuid":"b34ed364-f3f4-4d29-af53-fa35143dee02","timestamp":"2026-03-10T20:17:55.974Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":676,"startLine":1,"totalLines":676}},"sourceToolAssistantUUID":"43c9cf4f-a92e-4c63-a194-1601fe425500"} 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+{"parentUuid":"40352400-7e95-4eb3-8e30-a7f7a052cae0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01CH3BNt8mjr5ohSkzfYCY2h","toolUseID":"toolu_01CH3BNt8mjr5ohSkzfYCY2h","timestamp":"2026-03-10T20:17:56.602Z","uuid":"7c78a53c-49c9-455f-8143-225a32514cab"} +{"parentUuid":"40352400-7e95-4eb3-8e30-a7f7a052cae0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CH3BNt8mjr5ohSkzfYCY2h","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 a BETWEEN clause for integer range filters.\n 280→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 281→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 282→\tif cond.From != 0 && cond.To != 0 {\n 283→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 284→\t} else if cond.From != 0 {\n 285→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 286→\t} else if cond.To != 0 {\n 287→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 288→\t} else {\n 289→\t\treturn query\n 290→\t}\n 291→}\n 292→\n 293→// buildFloatCondition creates a BETWEEN clause for float range filters.\n 294→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 295→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 296→\tif cond.From != 0.0 && cond.To != 0.0 {\n 297→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 298→\t} else if cond.From != 0.0 {\n 299→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 300→\t} else if cond.To != 0.0 {\n 301→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 302→\t} else {\n 303→\t\treturn query\n 304→\t}\n 305→}\n 306→\n 307→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 308→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 309→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 310→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 311→\tif cond.From != nil && cond.To != nil {\n 312→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 313→\t} else if cond.From != nil {\n 314→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 315→\t} else if cond.To != nil {\n 316→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 317→\t} else if cond.Range != \"\" {\n 318→\t\tnow := time.Now().Unix()\n 319→\t\tvar then int64\n 320→\t\tswitch cond.Range {\n 321→\t\tcase \"last6h\":\n 322→\t\t\tthen = now - (60 * 60 * 6)\n 323→\t\tcase \"last24h\":\n 324→\t\t\tthen = now - (60 * 60 * 24)\n 325→\t\tcase \"last7d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 327→\t\tcase \"last30d\":\n 328→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 329→\t\tdefault:\n 330→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 331→\t\t\treturn query\n 332→\t\t}\n 333→\t\treturn query.Where(field+\" >= ?\", then)\n 334→\t} else {\n 335→\t\treturn query\n 336→\t}\n 337→}\n 338→\n 339→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column.\n 340→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 341→func buildFloatJSONCondition(condName string, condRange *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 342→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 343→\tif condRange.From != 0.0 && condRange.To != 0.0 {\n 344→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") BETWEEN ? AND ?\", condRange.From, condRange.To)\n 345→\t} else if condRange.From != 0.0 {\n 346→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") >= ?\", condRange.From)\n 347→\t} else if condRange.To != 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") <= ?\", condRange.To)\n 349→\t} else {\n 350→\t\treturn query\n 351→\t}\n 352→}\n 353→\n 354→// buildStringCondition creates filters for string fields supporting equality,\n 355→// inequality, prefix, suffix, substring, and IN list matching.\n 356→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 357→\tif cond.Eq != nil {\n 358→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 359→\t}\n 360→\tif cond.Neq != nil {\n 361→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 362→\t}\n 363→\tif cond.StartsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 365→\t}\n 366→\tif cond.EndsWith != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 368→\t}\n 369→\tif cond.Contains != nil {\n 370→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 371→\t}\n 372→\tif cond.In != nil {\n 373→\t\tqueryElements := make([]string, len(cond.In))\n 374→\t\tcopy(queryElements, cond.In)\n 375→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 376→\t}\n 377→\treturn query\n 378→}\n 379→\n 380→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 381→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 382→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 383→\tif cond.Eq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 385→\t}\n 386→\tif cond.Neq != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 388→\t}\n 389→\tif cond.StartsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 391→\t}\n 392→\tif cond.EndsWith != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 394→\t}\n 395→\tif cond.Contains != nil {\n 396→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 397→\t}\n 398→\treturn query\n 399→}\n 400→\n 401→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 402→// Uses json_each to search within array elements.\n 403→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 404→\tquery = query.Where(\"JSON_VALID(resources)\")\n 405→\tif cond.Eq != nil {\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 407→\t}\n 408→\tif cond.Neq != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 410→\t}\n 411→\tif cond.StartsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 413→\t}\n 414→\tif cond.EndsWith != nil { // Currently Unused\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 416→\t}\n 417→\tif cond.Contains != nil {\n 418→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 419→\t}\n 420→\treturn query\n 421→}\n 422→\n 423→var (\n 424→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 425→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 426→)\n 427→\n 428→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 429→// Includes security checks to prevent SQL injection attempts.\n 430→// Panics if potentially dangerous characters are detected.\n 431→func toSnakeCase(str string) string {\n 432→\tfor _, c := range str {\n 433→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 434→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 435→\t\t}\n 436→\t}\n 437→\n 438→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 439→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 440→\treturn strings.ToLower(snake)\n 441→}\n 442→"}]},"uuid":"4d79a916-ada3-4a1c-8a4a-6fa5cd46aa66","timestamp":"2026-03-10T20:17:56.601Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(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 a BETWEEN clause for integer range filters.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 0 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if 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 BETWEEN clause for float range filters.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 0.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if 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.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildFloatJSONCondition(condName string, condRange *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif condRange.From != 0.0 && condRange.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") BETWEEN ? AND ?\", condRange.From, condRange.To)\n\t} else if condRange.From != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") >= ?\", condRange.From)\n\t} else if condRange.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+condName+\"\\\") <= ?\", condRange.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+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":442,"startLine":1,"totalLines":442}},"sourceToolAssistantUUID":"40352400-7e95-4eb3-8e30-a7f7a052cae0"} +{"parentUuid":"4d79a916-ada3-4a1c-8a4a-6fa5cd46aa66","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01AqMTqbBFPHDi2oNf9ZEbEk","toolUseID":"toolu_01AqMTqbBFPHDi2oNf9ZEbEk","timestamp":"2026-03-10T20:17:56.809Z","uuid":"d806814c-74d2-485c-b04f-349a6bb47f82"} +{"parentUuid":"daa3ab69-ce70-4856-a926-1b90a6f952ef","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AqMTqbBFPHDi2oNf9ZEbEk","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\n 370→\tnodes := make([]*schema.Node, 0)\n 371→\tfor rows.Next() {\n 372→\t\tnode := schema.Node{}\n 373→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 374→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 375→\t\t\trows.Close()\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\treturn nodes, nil\n 383→}\n 384→\n 385→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 386→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 387→func (r *NodeRepository) QueryNodesWithMeta(\n 388→\tctx context.Context,\n 389→\tfilters []*model.NodeFilter,\n 390→\tpage *model.PageRequest,\n 391→\torder *model.OrderByInput, // Currently unused!\n 392→) ([]*schema.Node, error) {\n 393→\tquery, qerr := AccessCheck(ctx,\n 394→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 395→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 396→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 397→\t\t\tFrom(\"node\").\n 398→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 399→\t\t\tWhere(latestStateCondition()))\n 400→\tif qerr != nil {\n 401→\t\treturn nil, qerr\n 402→\t}\n 403→\n 404→\tquery = applyNodeFilters(query, filters)\n 405→\tquery = query.OrderBy(\"node.hostname ASC\")\n 406→\n 407→\tif page != nil && page.ItemsPerPage != -1 {\n 408→\t\tlimit := uint64(page.ItemsPerPage)\n 409→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 410→\t}\n 411→\n 412→\trows, err := query.RunWith(r.stmtCache).Query()\n 413→\tif err != nil {\n 414→\t\tqueryString, queryVars, _ := query.ToSql()\n 415→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\tnodes := make([]*schema.Node, 0)\n 420→\tfor rows.Next() {\n 421→\t\tnode := schema.Node{}\n 422→\t\tRawMetaData := make([]byte, 0)\n 423→\t\tRawMetricHealth := make([]byte, 0)\n 424→\n 425→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 426→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 427→\t\t\trows.Close()\n 428→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 429→\t\t\treturn nil, err\n 430→\t\t}\n 431→\n 432→\t\tif len(RawMetaData) == 0 {\n 433→\t\t\tnode.MetaData = nil\n 434→\t\t} else {\n 435→\t\t\tmetaData := make(map[string]string)\n 436→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 437→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 438→\t\t\t\treturn nil, err\n 439→\t\t\t}\n 440→\t\t\tnode.MetaData = metaData\n 441→\t\t}\n 442→\n 443→\t\tif len(RawMetricHealth) == 0 {\n 444→\t\t\tnode.HealthData = nil\n 445→\t\t} else {\n 446→\t\t\thealthData := make(map[string][]string)\n 447→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 448→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 449→\t\t\t\treturn nil, err\n 450→\t\t\t}\n 451→\t\t\tnode.HealthData = healthData\n 452→\t\t}\n 453→\n 454→\t\tnodes = append(nodes, &node)\n 455→\t}\n 456→\n 457→\treturn nodes, nil\n 458→}\n 459→\n 460→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 461→// on the last state (largest timestamp) per node.\n 462→func (r *NodeRepository) CountNodes(\n 463→\tctx context.Context,\n 464→\tfilters []*model.NodeFilter,\n 465→) (int, error) {\n 466→\tquery, qerr := AccessCheck(ctx,\n 467→\t\tsq.Select(\"COUNT(*)\").\n 468→\t\t\tFrom(\"node\").\n 469→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 470→\t\t\tWhere(latestStateCondition()))\n 471→\tif qerr != nil {\n 472→\t\treturn 0, qerr\n 473→\t}\n 474→\n 475→\tquery = applyNodeFilters(query, filters)\n 476→\n 477→\tvar count int\n 478→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 479→\t\tqueryString, queryVars, _ := query.ToSql()\n 480→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 481→\t\treturn 0, err\n 482→\t}\n 483→\n 484→\treturn count, nil\n 485→}\n 486→\n 487→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 488→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 489→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 490→\t\tFrom(\"node\").\n 491→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 492→\t\tWhere(latestStateCondition()).\n 493→\t\tWhere(\"node.cluster = ?\", cluster).\n 494→\t\tOrderBy(\"node.hostname ASC\")\n 495→\n 496→\trows, err := q.RunWith(r.DB).Query()\n 497→\tif err != nil {\n 498→\t\tcclog.Warn(\"Error while querying node list\")\n 499→\t\treturn nil, err\n 500→\t}\n 501→\tnodeList := make([]*schema.Node, 0, 100)\n 502→\tdefer rows.Close()\n 503→\tfor rows.Next() {\n 504→\t\tnode := &schema.Node{}\n 505→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 506→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 507→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 508→\t\t\treturn nil, err\n 509→\t\t}\n 510→\n 511→\t\tnodeList = append(nodeList, node)\n 512→\t}\n 513→\n 514→\treturn nodeList, nil\n 515→}\n 516→\n 517→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 518→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 519→\t\tFrom(\"node\").\n 520→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 521→\t\tWhere(latestStateCondition()).\n 522→\t\tWhere(\"node.cluster = ?\", cluster).\n 523→\t\tOrderBy(\"node.hostname ASC\")\n 524→\n 525→\trows, err := q.RunWith(r.DB).Query()\n 526→\tif err != nil {\n 527→\t\tcclog.Warn(\"Error while querying node list\")\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tstateMap := make(map[string]string)\n 532→\tdefer rows.Close()\n 533→\tfor rows.Next() {\n 534→\t\tvar hostname, nodestate string\n 535→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 536→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 537→\t\t\treturn nil, err\n 538→\t\t}\n 539→\n 540→\t\tstateMap[hostname] = nodestate\n 541→\t}\n 542→\n 543→\treturn stateMap, nil\n 544→}\n 545→\n 546→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 547→\tquery, qerr := AccessCheck(ctx,\n 548→\t\tsq.Select(column).\n 549→\t\t\tFrom(\"node\").\n 550→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 551→\t\t\tWhere(latestStateCondition()))\n 552→\tif qerr != nil {\n 553→\t\treturn nil, qerr\n 554→\t}\n 555→\n 556→\tquery = applyNodeFilters(query, filters)\n 557→\n 558→\trows, err := query.RunWith(r.stmtCache).Query()\n 559→\tif err != nil {\n 560→\t\tqueryString, queryVars, _ := query.ToSql()\n 561→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 562→\t\treturn nil, err\n 563→\t}\n 564→\n 565→\tstateMap := map[string]int{}\n 566→\tfor rows.Next() {\n 567→\t\tvar state string\n 568→\t\tif err := rows.Scan(&state); err != nil {\n 569→\t\t\trows.Close()\n 570→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 571→\t\t\treturn nil, err\n 572→\t\t}\n 573→\n 574→\t\tstateMap[state] += 1\n 575→\t}\n 576→\n 577→\tnodes := make([]*model.NodeStates, 0)\n 578→\tfor state, counts := range stateMap {\n 579→\t\tnode := model.NodeStates{State: state, Count: counts}\n 580→\t\tnodes = append(nodes, &node)\n 581→\t}\n 582→\n 583→\treturn nodes, nil\n 584→}\n 585→\n 586→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 587→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 588→\tif qerr != nil {\n 589→\t\treturn nil, qerr\n 590→\t}\n 591→\n 592→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 593→\n 594→\tfor _, f := range filters {\n 595→\t\t// Required\n 596→\t\tif f.TimeStart != nil {\n 597→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 598→\t\t}\n 599→\t\t// Optional\n 600→\t\tif f.Hostname != nil {\n 601→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 602→\t\t}\n 603→\t\tif f.Cluster != nil {\n 604→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 605→\t\t}\n 606→\t\tif f.SubCluster != nil {\n 607→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 608→\t\t}\n 609→\t\tif f.SchedulerState != nil {\n 610→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 611→\t\t}\n 612→\t\tif f.HealthState != nil {\n 613→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 614→\t\t}\n 615→\t}\n 616→\n 617→\t// Add Group and Order\n 618→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 619→\n 620→\trows, err := query.RunWith(r.stmtCache).Query()\n 621→\tif err != nil {\n 622→\t\tqueryString, queryVars, _ := query.ToSql()\n 623→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 624→\t\treturn nil, err\n 625→\t}\n 626→\n 627→\trawData := make(map[string][][]int)\n 628→\tfor rows.Next() {\n 629→\t\tvar state string\n 630→\t\tvar timestamp, count int\n 631→\n 632→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 633→\t\t\trows.Close()\n 634→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 635→\t\t\treturn nil, err\n 636→\t\t}\n 637→\n 638→\t\tif rawData[state] == nil {\n 639→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 640→\t\t}\n 641→\n 642→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 643→\t\trawData[state][1] = append(rawData[state][1], count)\n 644→\t}\n 645→\n 646→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 647→\tfor state, data := range rawData {\n 648→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 649→\t\ttimedStates = append(timedStates, &entry)\n 650→\t}\n 651→\n 652→\treturn timedStates, nil\n 653→}\n 654→\n 655→func (r *NodeRepository) GetNodesForList(\n 656→\tctx context.Context,\n 657→\tcluster string,\n 658→\tsubCluster string,\n 659→\tstateFilter string,\n 660→\tnodeFilter string,\n 661→\tpage *model.PageRequest,\n 662→) ([]string, map[string]string, int, bool, error) {\n 663→\t// Init Return Vars\n 664→\tnodes := make([]string, 0)\n 665→\tstateMap := make(map[string]string)\n 666→\tcountNodes := 0\n 667→\thasNextPage := false\n 668→\n 669→\t// Build Filters\n 670→\tqueryFilters := make([]*model.NodeFilter, 0)\n 671→\tif cluster != \"\" {\n 672→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 673→\t}\n 674→\tif subCluster != \"\" {\n 675→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 676→\t}\n 677→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 678→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 679→\t}\n 680→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 681→\t\tqueryState := schema.SchedulerState(stateFilter)\n 682→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 683→\t}\n 684→\t// if healthFilter != \"all\" {\n 685→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 686→\t// }\n 687→\n 688→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 689→\tvar backupItems int\n 690→\tif stateFilter == \"notindb\" {\n 691→\t\tbackupItems = page.ItemsPerPage\n 692→\t\tpage.ItemsPerPage = -1\n 693→\t}\n 694→\n 695→\t// Query Nodes From DB\n 696→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 697→\tif serr != nil {\n 698→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 699→\t\treturn nil, nil, 0, false, serr\n 700→\t}\n 701→\n 702→\t// Intermediate Node Result Info\n 703→\tfor _, node := range rawNodes {\n 704→\t\tif node == nil {\n 705→\t\t\tcontinue\n 706→\t\t}\n 707→\t\tnodes = append(nodes, node.Hostname)\n 708→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 709→\t}\n 710→\n 711→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 712→\tif stateFilter == \"notindb\" {\n 713→\t\t// Reapply Original Paging\n 714→\t\tpage.ItemsPerPage = backupItems\n 715→\t\t// Get Nodes From Topology\n 716→\t\tvar topoNodes []string\n 717→\t\tif subCluster != \"\" {\n 718→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 719→\t\t\ttopoNodes = scNodes.PrintList()\n 720→\t\t} else {\n 721→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 722→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 723→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 724→\t\t\t}\n 725→\t\t}\n 726→\t\t// Compare to all nodes from cluster/subcluster in DB\n 727→\t\tvar missingNodes []string\n 728→\t\tfor _, scanNode := range topoNodes {\n 729→\t\t\tif !slices.Contains(nodes, scanNode) {\n 730→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 731→\t\t\t}\n 732→\t\t}\n 733→\t\t// Filter nodes by name\n 734→\t\tif nodeFilter != \"\" {\n 735→\t\t\tfilteredNodesByName := []string{}\n 736→\t\t\tfor _, missingNode := range missingNodes {\n 737→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 738→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 739→\t\t\t\t}\n 740→\t\t\t}\n 741→\t\t\tmissingNodes = filteredNodesByName\n 742→\t\t}\n 743→\t\t// Sort Missing Nodes Alphanumerically\n 744→\t\tslices.Sort(missingNodes)\n 745→\t\t// Total Missing\n 746→\t\tcountNodes = len(missingNodes)\n 747→\t\t// Apply paging\n 748→\t\tif countNodes > page.ItemsPerPage {\n 749→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 750→\t\t\tend := start + page.ItemsPerPage\n 751→\t\t\tif end > countNodes {\n 752→\t\t\t\tend = countNodes\n 753→\t\t\t\thasNextPage = false\n 754→\t\t\t} else {\n 755→\t\t\t\thasNextPage = true\n 756→\t\t\t}\n 757→\t\t\tnodes = missingNodes[start:end]\n 758→\t\t} else {\n 759→\t\t\tnodes = missingNodes\n 760→\t\t}\n 761→\n 762→\t} else {\n 763→\t\t// DB Nodes: Count and derive hasNextPage from count\n 764→\t\tvar cerr error\n 765→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 766→\t\tif cerr != nil {\n 767→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 768→\t\t\treturn nil, nil, 0, false, cerr\n 769→\t\t}\n 770→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 771→\t}\n 772→\n 773→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 774→\tif stateFilter == \"all\" && countNodes == 0 {\n 775→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 776→\t}\n 777→\n 778→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 779→}\n 780→\n 781→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 782→\tuser := GetUserFromContext(ctx)\n 783→\treturn AccessCheckWithUser(user, query)\n 784→}\n 785→\n 786→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 787→\tif user == nil {\n 788→\t\tvar qnil sq.SelectBuilder\n 789→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 790→\t}\n 791→\n 792→\tswitch {\n 793→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 794→\t// \treturn query, nil\n 795→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 796→\t\treturn query, nil\n 797→\tdefault: // No known Role: No Access, return error\n 798→\t\tvar qnil sq.SelectBuilder\n 799→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 800→\t}\n 801→}\n 802→\n 803→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 804→\t// 0) Init additional vars\n 805→\thasNextPage := false\n 806→\ttotalNodes := 0\n 807→\n 808→\t// 1) Get list of all nodes\n 809→\tvar topolNodes []string\n 810→\tif subCluster != \"\" {\n 811→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 812→\t\ttopolNodes = scNodes.PrintList()\n 813→\t} else {\n 814→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 815→\t\tfor _, nodeList := range subClusterNodeLists {\n 816→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 817→\t\t}\n 818→\t}\n 819→\n 820→\t// 2) Filter nodes\n 821→\tif nodeFilter != \"\" {\n 822→\t\tfilteredNodes := []string{}\n 823→\t\tfor _, node := range topolNodes {\n 824→\t\t\tif strings.Contains(node, nodeFilter) {\n 825→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 826→\t\t\t}\n 827→\t\t}\n 828→\t\ttopolNodes = filteredNodes\n 829→\t}\n 830→\n 831→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 832→\ttotalNodes = len(topolNodes)\n 833→\tsort.Strings(topolNodes)\n 834→\n 835→\t// 3) Apply paging\n 836→\tif len(topolNodes) > page.ItemsPerPage {\n 837→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 838→\t\tend := start + page.ItemsPerPage\n 839→\t\tif end >= len(topolNodes) {\n 840→\t\t\tend = len(topolNodes)\n 841→\t\t\thasNextPage = false\n 842→\t\t} else {\n 843→\t\t\thasNextPage = true\n 844→\t\t}\n 845→\t\ttopolNodes = topolNodes[start:end]\n 846→\t}\n 847→\n 848→\treturn topolNodes, totalNodes, hasNextPage\n 849→}\n 850→"}]},"uuid":"fe90302c-f1da-4d0f-888a-579aded7cc33","timestamp":"2026-03-10T20:17:56.808Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":850,"startLine":1,"totalLines":850}},"sourceToolAssistantUUID":"daa3ab69-ce70-4856-a926-1b90a6f952ef"} +{"parentUuid":"fe90302c-f1da-4d0f-888a-579aded7cc33","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016ckqguD1rV9BwiTyDQ7AyQ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvcBCkYICxgCKkBkyo9eqasSsQ1t9pI9p7mVFU9v6WmG2NmzRNfX0SS+csnrBrTTgpt3xk0m/qEZgz8PFJpHplWuBG3Q/dF2xor8EgwDKqLjJorQuEXWZfkaDJhk7ejIT362yyo2JiIwdgAsVy0tPS4X4tPc66OmqgUW3wA7qq0e53BlzKcLPepei/USVpjSq8jGF5BlFh5jKl8Zzxh6/IimDg8iZdPNt4+bKjmPdgSMGXmvoJnRhFhLWmYlctc1dTwpl2J6TO21ClY/ar/i6X3Ch5T+ulLGxbNXnM8pfbgsq3BiQwA46QVlvCQtWCF83noVFmR7gL52ABgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6907,"cache_creation_input_tokens":38159,"cache_read_input_tokens":20871,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38159},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1wDzPJLhJycFoHUgBA","type":"assistant","uuid":"27daaa2a-2064-4e4b-b2c7-025f1b9867dc","timestamp":"2026-03-10T20:18:00.698Z"} +{"parentUuid":"27daaa2a-2064-4e4b-b2c7-025f1b9867dc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016ckqguD1rV9BwiTyDQ7AyQ","type":"message","role":"assistant","content":[{"type":"text","text":"Let me also check the remaining query functions in the repository."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6907,"cache_creation_input_tokens":38159,"cache_read_input_tokens":20871,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38159},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1wDzPJLhJycFoHUgBA","type":"assistant","uuid":"8b8576b9-4f2a-4fa3-b880-4b951847ebbd","timestamp":"2026-03-10T20:18:01.191Z"} +{"parentUuid":"8b8576b9-4f2a-4fa3-b880-4b951847ebbd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016ckqguD1rV9BwiTyDQ7AyQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RcRyYrnuwPStQV97fpLy9v","name":"Grep","input":{"pattern":"\\.Query\\(\\)","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content","-B":2,"-A":5},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6907,"cache_creation_input_tokens":38159,"cache_read_input_tokens":20871,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38159},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1wDzPJLhJycFoHUgBA","type":"assistant","uuid":"5b7cf23b-cc0c-4c19-ba06-5a63bb872577","timestamp":"2026-03-10T20:18:03.096Z"} +{"parentUuid":"5b7cf23b-cc0c-4c19-ba06-5a63bb872577","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01RcRyYrnuwPStQV97fpLy9v","toolUseID":"toolu_01RcRyYrnuwPStQV97fpLy9v","timestamp":"2026-03-10T20:18:03.128Z","uuid":"f18e1f1a-e390-4bed-9391-3bb02137920b"} +{"parentUuid":"5b7cf23b-cc0c-4c19-ba06-5a63bb872577","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RcRyYrnuwPStQV97fpLy9v","type":"tool_result","content":"\nOutput too large (20.6KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e/tool-results/toolu_01RcRyYrnuwPStQV97fpLy9v.txt\n\nPreview (first 2KB):\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-285-\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-286-\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\ninternal/repository/node.go:287:\t\tRunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-288-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-289-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-290-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-291-\tdefer rows.Close()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-292-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-361-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-362-\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-364-\tif err != nil {\ninternal/repository/node.go-365-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-366-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-367-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-368-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-410-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-411-\ninternal/repository/node.go:412:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-413-\tif err != nil {\ninternal/repository/node.go-414-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-415-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n...\n"}]},"uuid":"4b937640-ae60-4b78-8dd5-bcd20e818844","timestamp":"2026-03-10T20:18:03.128Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go-285-\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-286-\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\ninternal/repository/node.go:287:\t\tRunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-288-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-289-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-290-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-291-\tdefer rows.Close()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-292-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-361-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-362-\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-364-\tif err != nil {\ninternal/repository/node.go-365-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-366-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-367-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-368-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-410-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-411-\ninternal/repository/node.go:412:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-413-\tif err != nil {\ninternal/repository/node.go-414-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-415-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-416-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-417-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-494-\t\tOrderBy(\"node.hostname ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-495-\ninternal/repository/node.go:496:\trows, err := q.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-497-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-498-\t\tcclog.Warn(\"Error while querying node list\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-499-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-500-\t}\ninternal/repository/node.go-501-\tnodeList := make([]*schema.Node, 0, 100)\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-523-\t\tOrderBy(\"node.hostname ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-524-\ninternal/repository/node.go:525:\trows, err := q.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-526-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-527-\t\tcclog.Warn(\"Error while querying node list\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-528-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-529-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-530-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-556-\tquery = applyNodeFilters(query, filters)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-557-\ninternal/repository/node.go:558:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-559-\tif err != nil {\ninternal/repository/node.go-560-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-561-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-562-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-563-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-618-\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-619-\ninternal/repository/node.go:620:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-621-\tif err != nil {\ninternal/repository/node.go-622-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-623-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-624-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-625-\t}\n--\ninternal/repository/jobCreate.go-76-\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-77-\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-79-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-80-\t\tcclog.Errorf(\"Error while running query %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-81-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-82-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-83-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-331-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-332-\ninternal/repository/tags.go:333:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-334-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-335-\t\treturn nil, nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-336-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-337-\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-338-\tcounts = make(map[string]int)\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-506-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-507-\ninternal/repository/tags.go:508:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-509-\tif err != nil {\ninternal/repository/tags.go-510-\t\ts, _, _ := q.ToSql()\ninternal/repository/tags.go-511-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-512-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-513-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-539-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-540-\ninternal/repository/tags.go:541:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-542-\tif err != nil {\ninternal/repository/tags.go-543-\t\ts, _, _ := q.ToSql()\ninternal/repository/tags.go-544-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-545-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-546-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-577-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-578-\ninternal/repository/tags.go:579:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-580-\tif err != nil {\ninternal/repository/tags.go-581-\t\ts, _, _ := q.ToSql()\ninternal/repository/tags.go-582-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-583-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-584-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-104-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-105-\ninternal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-107-\tif err != nil {\ninternal/repository/jobFind.go-108-\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\ninternal/repository/jobFind.go-109-\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-110-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-111-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-137-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-138-\ninternal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-140-\tif err != nil {\ninternal/repository/jobFind.go-141-\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\ninternal/repository/jobFind.go-142-\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-143-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-144-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-289-\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-290-\ninternal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-292-\tif err != nil {\ninternal/repository/jobFind.go-293-\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\ninternal/repository/jobFind.go-294-\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-295-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-296-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-317-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-318-\ninternal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-320-\tif err != nil {\ninternal/repository/jobFind.go-321-\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\ninternal/repository/jobFind.go-322-\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-323-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-324-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-276-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-277-\ninternal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-279-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-280-\t\tcclog.Warn(\"Error while querying user list\")\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-281-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-282-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-283-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-85-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-86-\ninternal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-88-\tif err != nil {\ninternal/repository/jobQuery.go-89-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/jobQuery.go-90-\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-91-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-92-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-425-\t\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-426-\ninternal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-428-\t\tif err == nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-429-\t\t\tdefer rows.Close()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-430-\t\t\tfor rows.Next() {\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-431-\t\t\t\tvar id int64\ninternal/repository/job.go-432-\t\t\t\tif err := rows.Scan(&id); err == nil {\n--\ninternal/repository/job.go-603-\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-604-\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\ninternal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-606-\t\tif err != nil && err != sql.ErrNoRows {\ninternal/repository/job.go-607-\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\ninternal/repository/job.go-608-\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-609-\t\t} else if err == nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-610-\t\t\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-661-\t\tWhere(\"job.job_state = 'running'\").\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-662-\t\tWhere(\"job.cluster = ?\", cluster).\ninternal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-664-\tif err != nil {\ninternal/repository/job.go-665-\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\ninternal/repository/job.go-666-\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-667-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-668-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-749-\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\ninternal/repository/job.go-750-\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\ninternal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-752-\tif err != nil {\ninternal/repository/job.go-753-\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\ninternal/repository/job.go-754-\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-755-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-756-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-785-\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-786-\ninternal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-788-\tif err != nil {\ninternal/repository/job.go-789-\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\ninternal/repository/job.go-790-\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-791-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-792-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-861-\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-862-\ninternal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-864-\tif err != nil {\ninternal/repository/job.go-865-\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\ninternal/repository/job.go-866-\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-867-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-868-\tdefer rows.Close()\n--\ninternal/repository/job.go-1069-\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1070-\ninternal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1072-\tif err != nil {\ninternal/repository/job.go-1073-\t\tqueryString, queryVars, _ := q.ToSql()\ninternal/repository/job.go-1074-\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1075-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1076-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-231-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-232-\ninternal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-234-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-235-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-236-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-237-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-238-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-436-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-437-\t}\ninternal/repository/stats.go:438:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-439-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-440-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-441-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-442-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-443-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-492-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-493-\t}\ninternal/repository/stats.go:494:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-495-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-496-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-497-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-498-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-499-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-551-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-552-\t}\ninternal/repository/stats.go:553:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-554-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-555-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-556-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-557-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-558-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-751-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-752-\ninternal/repository/stats.go:753:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-754-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-755-\t\tcclog.Error(\"Error while running query\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-756-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-757-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-758-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-819-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-820-\ninternal/repository/stats.go:821:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-822-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-823-\t\tcclog.Error(\"Error while running query\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-824-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-825-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-826-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-944-\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-945-\ninternal/repository/stats.go:946:\trows, err := mainQuery.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-947-\tif err != nil {\ninternal/repository/stats.go-948-\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-949-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-950-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-951-","numLines":287},"sourceToolAssistantUUID":"5b7cf23b-cc0c-4c19-ba06-5a63bb872577"} +{"parentUuid":"4b937640-ae60-4b78-8dd5-bcd20e818844","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016ckqguD1rV9BwiTyDQ7AyQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SJVJVgT6yJtcTJbUYf4Sov","name":"Grep","input":{"pattern":"defer rows\\.Close","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6907,"cache_creation_input_tokens":38159,"cache_read_input_tokens":20871,"output_tokens":276,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":38159,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv1wDzPJLhJycFoHUgBA","type":"assistant","uuid":"7d9c8a91-27cb-49a1-8155-b23187bd9401","timestamp":"2026-03-10T20:18:03.623Z"} +{"parentUuid":"7d9c8a91-27cb-49a1-8155-b23187bd9401","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01SJVJVgT6yJtcTJbUYf4Sov","toolUseID":"toolu_01SJVJVgT6yJtcTJbUYf4Sov","timestamp":"2026-03-10T20:18:03.653Z","uuid":"e20ff711-2990-4098-a58e-bcb2d2315fc5"} +{"parentUuid":"7d9c8a91-27cb-49a1-8155-b23187bd9401","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SJVJVgT6yJtcTJbUYf4Sov","type":"tool_result","content":"internal/repository/node.go:291:\tdefer rows.Close()\ninternal/repository/node.go:502:\tdefer rows.Close()\ninternal/repository/node.go:532:\tdefer rows.Close()\ninternal/repository/job.go:429:\t\t\tdefer rows.Close()\ninternal/repository/job.go:610:\t\t\tdefer rows.Close()\ninternal/repository/job.go:670:\tdefer rows.Close()\ninternal/repository/job.go:756:\tdefer rows.Close()\ninternal/repository/job.go:792:\tdefer rows.Close()\ninternal/repository/job.go:868:\tdefer rows.Close()\ninternal/repository/job.go:1076:\tdefer rows.Close()\ninternal/repository/user.go:285:\tdefer rows.Close()\ninternal/repository/jobQuery.go:92:\tdefer rows.Close()\ninternal/repository/jobCreate.go:83:\tdefer rows.Close()\ninternal/repository/jobFind.go:111:\tdefer rows.Close()\ninternal/repository/jobFind.go:144:\tdefer rows.Close()\ninternal/repository/jobFind.go:296:\tdefer rows.Close()\ninternal/repository/jobFind.go:324:\tdefer rows.Close()\ninternal/repository/userConfig.go:75:\t\tdefer rows.Close()"}]},"uuid":"80176410-5779-4e9c-be80-79c6632dae96","timestamp":"2026-03-10T20:18:03.653Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/node.go:291:\tdefer rows.Close()\ninternal/repository/node.go:502:\tdefer rows.Close()\ninternal/repository/node.go:532:\tdefer rows.Close()\ninternal/repository/job.go:429:\t\t\tdefer rows.Close()\ninternal/repository/job.go:610:\t\t\tdefer rows.Close()\ninternal/repository/job.go:670:\tdefer rows.Close()\ninternal/repository/job.go:756:\tdefer rows.Close()\ninternal/repository/job.go:792:\tdefer rows.Close()\ninternal/repository/job.go:868:\tdefer rows.Close()\ninternal/repository/job.go:1076:\tdefer rows.Close()\ninternal/repository/user.go:285:\tdefer rows.Close()\ninternal/repository/jobQuery.go:92:\tdefer rows.Close()\ninternal/repository/jobCreate.go:83:\tdefer rows.Close()\ninternal/repository/jobFind.go:111:\tdefer rows.Close()\ninternal/repository/jobFind.go:144:\tdefer rows.Close()\ninternal/repository/jobFind.go:296:\tdefer rows.Close()\ninternal/repository/jobFind.go:324:\tdefer rows.Close()\ninternal/repository/userConfig.go:75:\t\tdefer rows.Close()","numLines":18},"sourceToolAssistantUUID":"7d9c8a91-27cb-49a1-8155-b23187bd9401"} +{"parentUuid":"80176410-5779-4e9c-be80-79c6632dae96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01P1LgCKLnggvAbDn8XV5R83","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a comprehensive picture. Let me read the full grep output to catch any remaining files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8513,"cache_read_input_tokens":59030,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8513},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1wjHG756hTSQHWDq8A","type":"assistant","uuid":"68b382aa-e4bd-4a4d-8cec-9a97e857010a","timestamp":"2026-03-10T20:18:07.331Z"} 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+{"parentUuid":"69e8ad91-516c-4994-8b3a-4dd028dc3e4b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Fhf8dvkxpz3YNFSzbczGgJ","toolUseID":"toolu_01Fhf8dvkxpz3YNFSzbczGgJ","timestamp":"2026-03-10T20:18:10.464Z","uuid":"4861388d-f15e-4c1f-948d-bf96771b4608"} +{"parentUuid":"69e8ad91-516c-4994-8b3a-4dd028dc3e4b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fhf8dvkxpz3YNFSzbczGgJ","type":"tool_result","content":" 1→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-285-\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 2→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-286-\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 3→internal/repository/node.go:287:\t\tRunWith(r.DB).Query()\n 4→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-288-\tif err != nil {\n 5→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-289-\t\treturn nil, err\n 6→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-290-\t}\n 7→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-291-\tdefer rows.Close()\n 8→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-292-\n 9→--\n 10→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-361-\t}\n 11→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-362-\n 12→internal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\n 13→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-364-\tif err != nil {\n 14→internal/repository/node.go-365-\t\tqueryString, queryVars, _ := query.ToSql()\n 15→internal/repository/node.go-366-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 16→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-367-\t\treturn nil, err\n 17→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-368-\t}\n 18→--\n 19→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-410-\t}\n 20→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-411-\n 21→internal/repository/node.go:412:\trows, err := query.RunWith(r.stmtCache).Query()\n 22→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-413-\tif err != nil {\n 23→internal/repository/node.go-414-\t\tqueryString, queryVars, _ := query.ToSql()\n 24→internal/repository/node.go-415-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 25→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-416-\t\treturn nil, err\n 26→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-417-\t}\n 27→--\n 28→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-494-\t\tOrderBy(\"node.hostname ASC\")\n 29→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-495-\n 30→internal/repository/node.go:496:\trows, err := q.RunWith(r.DB).Query()\n 31→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-497-\tif err != nil {\n 32→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-498-\t\tcclog.Warn(\"Error while querying node list\")\n 33→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-499-\t\treturn nil, err\n 34→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-500-\t}\n 35→internal/repository/node.go-501-\tnodeList := make([]*schema.Node, 0, 100)\n 36→--\n 37→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-523-\t\tOrderBy(\"node.hostname ASC\")\n 38→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-524-\n 39→internal/repository/node.go:525:\trows, err := q.RunWith(r.DB).Query()\n 40→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-526-\tif err != nil {\n 41→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-527-\t\tcclog.Warn(\"Error while querying node list\")\n 42→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-528-\t\treturn nil, err\n 43→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-529-\t}\n 44→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-530-\n 45→--\n 46→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-556-\tquery = applyNodeFilters(query, filters)\n 47→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-557-\n 48→internal/repository/node.go:558:\trows, err := query.RunWith(r.stmtCache).Query()\n 49→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-559-\tif err != nil {\n 50→internal/repository/node.go-560-\t\tqueryString, queryVars, _ := query.ToSql()\n 51→internal/repository/node.go-561-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 52→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-562-\t\treturn nil, err\n 53→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-563-\t}\n 54→--\n 55→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-618-\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 56→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-619-\n 57→internal/repository/node.go:620:\trows, err := query.RunWith(r.stmtCache).Query()\n 58→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-621-\tif err != nil {\n 59→internal/repository/node.go-622-\t\tqueryString, queryVars, _ := query.ToSql()\n 60→internal/repository/node.go-623-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 61→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-624-\t\treturn nil, err\n 62→/Users/jan/prg/CC/cc-backend/internal/repository/node.go-625-\t}\n 63→--\n 64→internal/repository/jobCreate.go-76-\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 65→/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-77-\n 66→internal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\n 67→/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-79-\tif err != nil {\n 68→/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-80-\t\tcclog.Errorf(\"Error while running query %v\", err)\n 69→/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-81-\t\treturn nil, err\n 70→/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-82-\t}\n 71→/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-83-\tdefer rows.Close()\n 72→--\n 73→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-331-\t}\n 74→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-332-\n 75→internal/repository/tags.go:333:\trows, err := q.RunWith(r.stmtCache).Query()\n 76→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-334-\tif err != nil {\n 77→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-335-\t\treturn nil, nil, err\n 78→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-336-\t}\n 79→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-337-\n 80→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-338-\tcounts = make(map[string]int)\n 81→--\n 82→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-506-\t}\n 83→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-507-\n 84→internal/repository/tags.go:508:\trows, err := q.RunWith(r.stmtCache).Query()\n 85→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-509-\tif err != nil {\n 86→internal/repository/tags.go-510-\t\ts, _, _ := q.ToSql()\n 87→internal/repository/tags.go-511-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 88→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-512-\t\treturn nil, err\n 89→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-513-\t}\n 90→--\n 91→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-539-\t}\n 92→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-540-\n 93→internal/repository/tags.go:541:\trows, err := q.RunWith(r.stmtCache).Query()\n 94→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-542-\tif err != nil {\n 95→internal/repository/tags.go-543-\t\ts, _, _ := q.ToSql()\n 96→internal/repository/tags.go-544-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 97→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-545-\t\treturn nil, err\n 98→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-546-\t}\n 99→--\n 100→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-577-\t}\n 101→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-578-\n 102→internal/repository/tags.go:579:\trows, err := q.RunWith(r.stmtCache).Query()\n 103→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-580-\tif err != nil {\n 104→internal/repository/tags.go-581-\t\ts, _, _ := q.ToSql()\n 105→internal/repository/tags.go-582-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 106→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-583-\t\treturn nil, err\n 107→/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-584-\t}\n 108→--\n 109→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-104-\t}\n 110→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-105-\n 111→internal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\n 112→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-107-\tif err != nil {\n 113→internal/repository/jobFind.go-108-\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 114→internal/repository/jobFind.go-109-\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 115→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-110-\t}\n 116→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-111-\tdefer rows.Close()\n 117→--\n 118→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-137-\t}\n 119→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-138-\n 120→internal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\n 121→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-140-\tif err != nil {\n 122→internal/repository/jobFind.go-141-\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 123→internal/repository/jobFind.go-142-\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 124→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-143-\t}\n 125→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-144-\tdefer rows.Close()\n 126→--\n 127→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-289-\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 128→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-290-\n 129→internal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\n 130→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-292-\tif err != nil {\n 131→internal/repository/jobFind.go-293-\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 132→internal/repository/jobFind.go-294-\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 133→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-295-\t}\n 134→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-296-\tdefer rows.Close()\n 135→--\n 136→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-317-\t}\n 137→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-318-\n 138→internal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 139→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-320-\tif err != nil {\n 140→internal/repository/jobFind.go-321-\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 141→internal/repository/jobFind.go-322-\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 142→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-323-\t}\n 143→/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-324-\tdefer rows.Close()\n 144→--\n 145→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-276-\t}\n 146→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-277-\n 147→internal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()\n 148→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-279-\tif err != nil {\n 149→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-280-\t\tcclog.Warn(\"Error while querying user list\")\n 150→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-281-\t\treturn nil, err\n 151→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-282-\t}\n 152→/Users/jan/prg/CC/cc-backend/internal/repository/user.go-283-\n 153→--\n 154→/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-85-\t}\n 155→/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-86-\n 156→internal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\n 157→/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-88-\tif err != nil {\n 158→internal/repository/jobQuery.go-89-\t\tqueryString, queryVars, _ := query.ToSql()\n 159→internal/repository/jobQuery.go-90-\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 160→/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-91-\t}\n 161→/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-92-\tdefer rows.Close()\n 162→--\n 163→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-425-\t\t}\n 164→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-426-\n 165→internal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\n 166→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-428-\t\tif err == nil {\n 167→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-429-\t\t\tdefer rows.Close()\n 168→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-430-\t\t\tfor rows.Next() {\n 169→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-431-\t\t\t\tvar id int64\n 170→internal/repository/job.go-432-\t\t\t\tif err := rows.Scan(&id); err == nil {\n 171→--\n 172→internal/repository/job.go-603-\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 173→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-604-\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 174→internal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\n 175→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-606-\t\tif err != nil && err != sql.ErrNoRows {\n 176→internal/repository/job.go-607-\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 177→internal/repository/job.go-608-\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 178→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-609-\t\t} else if err == nil {\n 179→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-610-\t\t\tdefer rows.Close()\n 180→--\n 181→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-661-\t\tWhere(\"job.job_state = 'running'\").\n 182→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-662-\t\tWhere(\"job.cluster = ?\", cluster).\n 183→internal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\n 184→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-664-\tif err != nil {\n 185→internal/repository/job.go-665-\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 186→internal/repository/job.go-666-\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 187→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-667-\t}\n 188→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-668-\n 189→--\n 190→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-749-\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 191→internal/repository/job.go-750-\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 192→internal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\n 193→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-752-\tif err != nil {\n 194→internal/repository/job.go-753-\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 195→internal/repository/job.go-754-\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 196→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-755-\t}\n 197→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-756-\tdefer rows.Close()\n 198→--\n 199→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-785-\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 200→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-786-\n 201→internal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\n 202→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-788-\tif err != nil {\n 203→internal/repository/job.go-789-\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 204→internal/repository/job.go-790-\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 205→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-791-\t}\n 206→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-792-\tdefer rows.Close()\n 207→--\n 208→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-861-\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 209→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-862-\n 210→internal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\n 211→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-864-\tif err != nil {\n 212→internal/repository/job.go-865-\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 213→internal/repository/job.go-866-\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 214→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-867-\t}\n 215→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-868-\tdefer rows.Close()\n 216→--\n 217→internal/repository/job.go-1069-\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n 218→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1070-\n 219→internal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\n 220→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1072-\tif err != nil {\n 221→internal/repository/job.go-1073-\t\tqueryString, queryVars, _ := q.ToSql()\n 222→internal/repository/job.go-1074-\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 223→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1075-\t}\n 224→/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1076-\tdefer rows.Close()\n 225→--\n 226→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-231-\t}\n 227→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-232-\n 228→internal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\n 229→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-234-\tif err != nil {\n 230→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-235-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 231→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-236-\t\treturn nil, err\n 232→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-237-\t}\n 233→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-238-\n 234→--\n 235→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-436-\t\treturn nil, err\n 236→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-437-\t}\n 237→internal/repository/stats.go:438:\trows, err := query.RunWith(r.DB).Query()\n 238→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-439-\tif err != nil {\n 239→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-440-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 240→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-441-\t\treturn nil, err\n 241→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-442-\t}\n 242→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-443-\n 243→--\n 244→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-492-\t\treturn nil, err\n 245→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-493-\t}\n 246→internal/repository/stats.go:494:\trows, err := query.RunWith(r.DB).Query()\n 247→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-495-\tif err != nil {\n 248→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-496-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 249→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-497-\t\treturn nil, err\n 250→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-498-\t}\n 251→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-499-\n 252→--\n 253→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-551-\t\treturn nil, err\n 254→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-552-\t}\n 255→internal/repository/stats.go:553:\trows, err := query.RunWith(r.DB).Query()\n 256→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-554-\tif err != nil {\n 257→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-555-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 258→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-556-\t\treturn nil, err\n 259→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-557-\t}\n 260→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-558-\n 261→--\n 262→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-751-\t}\n 263→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-752-\n 264→internal/repository/stats.go:753:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 265→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-754-\tif err != nil {\n 266→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-755-\t\tcclog.Error(\"Error while running query\")\n 267→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-756-\t\treturn nil, err\n 268→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-757-\t}\n 269→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-758-\n 270→--\n 271→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-819-\t}\n 272→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-820-\n 273→internal/repository/stats.go:821:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 274→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-822-\tif err != nil {\n 275→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-823-\t\tcclog.Error(\"Error while running query\")\n 276→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-824-\t\treturn nil, err\n 277→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-825-\t}\n 278→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-826-\n 279→--\n 280→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-944-\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 281→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-945-\n 282→internal/repository/stats.go:946:\trows, err := mainQuery.RunWith(r.DB).Query()\n 283→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-947-\tif err != nil {\n 284→internal/repository/stats.go-948-\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 285→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-949-\t\treturn nil, err\n 286→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-950-\t}\n 287→/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-951-"}]},"uuid":"c7ee6da0-912d-405a-8930-c3e59dbfb3fa","timestamp":"2026-03-10T20:18:10.463Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e/tool-results/toolu_01RcRyYrnuwPStQV97fpLy9v.txt","content":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go-285-\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-286-\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\ninternal/repository/node.go:287:\t\tRunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-288-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-289-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-290-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-291-\tdefer rows.Close()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-292-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-361-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-362-\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-364-\tif err != nil {\ninternal/repository/node.go-365-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-366-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-367-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-368-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-410-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-411-\ninternal/repository/node.go:412:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-413-\tif err != nil {\ninternal/repository/node.go-414-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-415-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-416-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-417-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-494-\t\tOrderBy(\"node.hostname ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-495-\ninternal/repository/node.go:496:\trows, err := q.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-497-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-498-\t\tcclog.Warn(\"Error while querying node list\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-499-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-500-\t}\ninternal/repository/node.go-501-\tnodeList := make([]*schema.Node, 0, 100)\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-523-\t\tOrderBy(\"node.hostname ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-524-\ninternal/repository/node.go:525:\trows, err := q.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-526-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-527-\t\tcclog.Warn(\"Error while querying node list\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-528-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-529-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-530-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-556-\tquery = applyNodeFilters(query, filters)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-557-\ninternal/repository/node.go:558:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-559-\tif err != nil {\ninternal/repository/node.go-560-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-561-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-562-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-563-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-618-\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-619-\ninternal/repository/node.go:620:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-621-\tif err != nil {\ninternal/repository/node.go-622-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/node.go-623-\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-624-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go-625-\t}\n--\ninternal/repository/jobCreate.go-76-\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-77-\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-79-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-80-\t\tcclog.Errorf(\"Error while running query %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-81-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-82-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go-83-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-331-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-332-\ninternal/repository/tags.go:333:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-334-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-335-\t\treturn nil, nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-336-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-337-\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-338-\tcounts = make(map[string]int)\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-506-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-507-\ninternal/repository/tags.go:508:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-509-\tif err != nil {\ninternal/repository/tags.go-510-\t\ts, _, _ := q.ToSql()\ninternal/repository/tags.go-511-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-512-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-513-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-539-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-540-\ninternal/repository/tags.go:541:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-542-\tif err != nil {\ninternal/repository/tags.go-543-\t\ts, _, _ := q.ToSql()\ninternal/repository/tags.go-544-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-545-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-546-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-577-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-578-\ninternal/repository/tags.go:579:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-580-\tif err != nil {\ninternal/repository/tags.go-581-\t\ts, _, _ := q.ToSql()\ninternal/repository/tags.go-582-\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-583-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go-584-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-104-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-105-\ninternal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-107-\tif err != nil {\ninternal/repository/jobFind.go-108-\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\ninternal/repository/jobFind.go-109-\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-110-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-111-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-137-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-138-\ninternal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-140-\tif err != nil {\ninternal/repository/jobFind.go-141-\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\ninternal/repository/jobFind.go-142-\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-143-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-144-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-289-\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-290-\ninternal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-292-\tif err != nil {\ninternal/repository/jobFind.go-293-\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\ninternal/repository/jobFind.go-294-\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-295-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-296-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-317-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-318-\ninternal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-320-\tif err != nil {\ninternal/repository/jobFind.go-321-\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\ninternal/repository/jobFind.go-322-\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-323-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go-324-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-276-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-277-\ninternal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-279-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-280-\t\tcclog.Warn(\"Error while querying user list\")\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-281-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-282-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go-283-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-85-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-86-\ninternal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-88-\tif err != nil {\ninternal/repository/jobQuery.go-89-\t\tqueryString, queryVars, _ := query.ToSql()\ninternal/repository/jobQuery.go-90-\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-91-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go-92-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-425-\t\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-426-\ninternal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-428-\t\tif err == nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-429-\t\t\tdefer rows.Close()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-430-\t\t\tfor rows.Next() {\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-431-\t\t\t\tvar id int64\ninternal/repository/job.go-432-\t\t\t\tif err := rows.Scan(&id); err == nil {\n--\ninternal/repository/job.go-603-\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-604-\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\ninternal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-606-\t\tif err != nil && err != sql.ErrNoRows {\ninternal/repository/job.go-607-\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\ninternal/repository/job.go-608-\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-609-\t\t} else if err == nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-610-\t\t\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-661-\t\tWhere(\"job.job_state = 'running'\").\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-662-\t\tWhere(\"job.cluster = ?\", cluster).\ninternal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-664-\tif err != nil {\ninternal/repository/job.go-665-\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\ninternal/repository/job.go-666-\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-667-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-668-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-749-\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\ninternal/repository/job.go-750-\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\ninternal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-752-\tif err != nil {\ninternal/repository/job.go-753-\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\ninternal/repository/job.go-754-\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-755-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-756-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-785-\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-786-\ninternal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-788-\tif err != nil {\ninternal/repository/job.go-789-\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\ninternal/repository/job.go-790-\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-791-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-792-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-861-\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-862-\ninternal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-864-\tif err != nil {\ninternal/repository/job.go-865-\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\ninternal/repository/job.go-866-\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-867-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-868-\tdefer rows.Close()\n--\ninternal/repository/job.go-1069-\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1070-\ninternal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1072-\tif err != nil {\ninternal/repository/job.go-1073-\t\tqueryString, queryVars, _ := q.ToSql()\ninternal/repository/job.go-1074-\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1075-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go-1076-\tdefer rows.Close()\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-231-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-232-\ninternal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-234-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-235-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-236-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-237-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-238-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-436-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-437-\t}\ninternal/repository/stats.go:438:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-439-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-440-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-441-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-442-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-443-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-492-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-493-\t}\ninternal/repository/stats.go:494:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-495-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-496-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-497-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-498-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-499-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-551-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-552-\t}\ninternal/repository/stats.go:553:\trows, err := query.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-554-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-555-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-556-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-557-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-558-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-751-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-752-\ninternal/repository/stats.go:753:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-754-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-755-\t\tcclog.Error(\"Error while running query\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-756-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-757-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-758-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-819-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-820-\ninternal/repository/stats.go:821:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-822-\tif err != nil {\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-823-\t\tcclog.Error(\"Error while running query\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-824-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-825-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-826-\n--\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-944-\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-945-\ninternal/repository/stats.go:946:\trows, err := mainQuery.RunWith(r.DB).Query()\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-947-\tif err != nil {\ninternal/repository/stats.go-948-\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-949-\t\treturn nil, err\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-950-\t}\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go-951-","numLines":287,"startLine":1,"totalLines":287}},"sourceToolAssistantUUID":"69e8ad91-516c-4994-8b3a-4dd028dc3e4b"} +{"parentUuid":"c7ee6da0-912d-405a-8930-c3e59dbfb3fa","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EK9xWwzZVQ2QaQJiCAQixp","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the complete picture. Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9145,"cache_read_input_tokens":67543,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9145},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1xELVnVif8fG3brQge","type":"assistant","uuid":"9186e4a9-65b8-46d5-aa88-bab97ff5518e","timestamp":"2026-03-10T20:18:13.516Z"} +{"type":"file-history-snapshot","messageId":"864edb13-d3bc-4787-9b4a-07848f131ca2","snapshot":{"messageId":"d755e0bc-fc92-444f-9ffd-17746f2c89b8","trackedFileBackups":{"/Users/jan/.claude/plans/refactored-wishing-journal.md":{"backupFileName":null,"version":1,"backupTime":"2026-03-10T20:18:37.746Z"}},"timestamp":"2026-03-10T20:15:59.248Z"},"isSnapshotUpdate":true} +{"parentUuid":"9186e4a9-65b8-46d5-aa88-bab97ff5518e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01EK9xWwzZVQ2QaQJiCAQixp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Kz18Rw14jz7aBFkSDmBi3n","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md","content":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9145,"cache_read_input_tokens":67543,"output_tokens":1579,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":9145,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv1xELVnVif8fG3brQge","type":"assistant","uuid":"864edb13-d3bc-4787-9b4a-07848f131ca2","timestamp":"2026-03-10T20:18:37.740Z"} +{"parentUuid":"864edb13-d3bc-4787-9b4a-07848f131ca2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01Kz18Rw14jz7aBFkSDmBi3n","toolUseID":"toolu_01Kz18Rw14jz7aBFkSDmBi3n","timestamp":"2026-03-10T20:18:37.771Z","uuid":"31fdeb34-d52b-482b-8f1c-a09f59338c0a"} +{"parentUuid":"864edb13-d3bc-4787-9b4a-07848f131ca2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kz18Rw14jz7aBFkSDmBi3n","type":"tool_result","content":"File created successfully at: /Users/jan/.claude/plans/refactored-wishing-journal.md"}]},"uuid":"f1d2ce27-5008-4647-9fe9-4d2429f9a128","timestamp":"2026-03-10T20:18:37.771Z","toolUseResult":{"type":"create","filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","content":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"864edb13-d3bc-4787-9b4a-07848f131ca2"} +{"parentUuid":"f1d2ce27-5008-4647-9fe9-4d2429f9a128","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01RodB1RhGRgAp1AcWzHtrkD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012MAGPmvv33ndD2h5Fdkx7u","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1615,"cache_read_input_tokens":76688,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1615,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv1zF7BuLLV3po26UNo9","type":"assistant","uuid":"2ee21da5-d679-4134-9cd9-112aa7a92036","timestamp":"2026-03-10T20:18:41.939Z"} +{"parentUuid":"2ee21da5-d679-4134-9cd9-112aa7a92036","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_012MAGPmvv33ndD2h5Fdkx7u","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"ee9482fb-3316-4a7d-8102-5ac19d8211a8","timestamp":"2026-03-10T20:18:41.948Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"2ee21da5-d679-4134-9cd9-112aa7a92036"} +{"parentUuid":"ee9482fb-3316-4a7d-8102-5ac19d8211a8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_011tXmgb4Y5SAdSmx2Rjp9Jd","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nFound **16 missing `defer rows.Close()` calls** across 3 files (`stats.go`, `tags.go`, `node.go`). The `jobQuery.go` file you had open is actually fine — it already has `defer rows.Close()`.\n\nThe leaks are systematic: every query in `stats.go` (7 functions), several tag queries in `tags.go` (5 calls), and 4 node query functions in `node.go` all fail to close their result sets. On success paths, these leak the `sql.Rows` and its underlying database connection/buffers. On large result sets (like a full job table scan sorted by `start_time`), this means significant memory accumulation.\n\nThe fix is mechanical: add `defer rows.Close()` after each error check, and in `node.go` replace the inconsistent manual `rows.Close()` calls in error-only paths with proper `defer`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":738,"cache_read_input_tokens":78303,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":738},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1zZ5BTkqyKLp5ngEcx","type":"assistant","uuid":"58762bc2-f2fc-4cf8-bb0e-9c4784483f06","timestamp":"2026-03-10T20:18:50.948Z"} +{"parentUuid":"58762bc2-f2fc-4cf8-bb0e-9c4784483f06","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_011tXmgb4Y5SAdSmx2Rjp9Jd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NQW5P5fMzhFEKvhViEfXYh","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build, go test, or go vet"}],"plan":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":738,"cache_read_input_tokens":78303,"output_tokens":295,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":738,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv1zZ5BTkqyKLp5ngEcx","type":"assistant","uuid":"1fefd0ec-60cc-412f-821d-69f4d72ea35c","timestamp":"2026-03-10T20:18:51.194Z"} +{"parentUuid":"1fefd0ec-60cc-412f-821d-69f4d72ea35c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.","is_error":true,"tool_use_id":"toolu_01NQW5P5fMzhFEKvhViEfXYh"}]},"uuid":"d77128d9-ecc6-483e-a10f-cbb6601dcb7c","timestamp":"2026-03-10T20:21:15.870Z","toolUseResult":"Error: The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.","sourceToolAssistantUUID":"1fefd0ec-60cc-412f-821d-69f4d72ea35c"} +{"parentUuid":"d77128d9-ecc6-483e-a10f-cbb6601dcb7c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MUZ89A63vscxT1sG95oByf","type":"message","role":"assistant","content":[{"type":"text","text":"The plan is ready for your review at the plan file. Let me know if you have any questions or want adjustments — for example, if you'd like me to also check for unbounded queries (no LIMIT on full table scans) as a separate concern, or if the scope looks right as-is."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":707,"cache_read_input_tokens":79041,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":707},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2Bu8EZsZiBbT89Hj4L","type":"assistant","uuid":"51ecc446-f091-481e-bfb0-a7b3cb6c74a7","timestamp":"2026-03-10T20:21:20.775Z"} +{"parentUuid":"51ecc446-f091-481e-bfb0-a7b3cb6c74a7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01MUZ89A63vscxT1sG95oByf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0191QcXQenQeJMpqPLAa7vJF","name":"ToolSearch","input":{"query":"select:AskUserQuestion","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":707,"cache_read_input_tokens":79041,"output_tokens":143,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":707,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2Bu8EZsZiBbT89Hj4L","type":"assistant","uuid":"f6840579-f4ff-4cf1-87f5-670a7cd9b1f7","timestamp":"2026-03-10T20:21:21.175Z"} +{"parentUuid":"f6840579-f4ff-4cf1-87f5-670a7cd9b1f7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_0191QcXQenQeJMpqPLAa7vJF","content":[{"type":"tool_reference","tool_name":"AskUserQuestion"}]}]},"uuid":"5c1031b6-55a9-401a-93da-b87b3c2b74f8","timestamp":"2026-03-10T20:21:21.178Z","toolUseResult":{"matches":["AskUserQuestion"],"query":"select:AskUserQuestion","total_deferred_tools":21},"sourceToolAssistantUUID":"f6840579-f4ff-4cf1-87f5-670a7cd9b1f7"} +{"parentUuid":"5c1031b6-55a9-401a-93da-b87b3c2b74f8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01M1Za2xMGA1drntJywMooBX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HxK9wSzjSwtyLwBtZUc6b7","name":"AskUserQuestion","input":{"questions":[{"question":"The plan covers 16 missing `defer rows.Close()` calls across stats.go, tags.go, and node.go. Should I also address anything else?","header":"Scope","options":[{"label":"rows.Close() only (Recommended)","description":"Fix the 16 missing defer rows.Close() calls. This directly addresses the memory leak."},{"label":"Also check unbounded queries","description":"Additionally review queries without LIMIT that could cause large allocations on full table scans."},{"label":"Also add rows.Err() checks","description":"Additionally add missing rows.Err() checks after scan loops (best practice to catch iteration errors)."}],"multiSelect":true}]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1399,"cache_read_input_tokens":79748,"output_tokens":223,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1399,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2CJ6byykR2SVcfUAvy","type":"assistant","uuid":"5360d478-1da1-42fe-849d-6b012b9c5585","timestamp":"2026-03-10T20:21:28.483Z"} +{"parentUuid":"5360d478-1da1-42fe-849d-6b012b9c5585","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has answered your questions: \"The plan covers 16 missing `defer rows.Close()` calls across stats.go, tags.go, and node.go. Should I also address anything else?\"=\"Also add rows.Err() checks, Also check unbounded queries, rows.Close() only (Recommended)\". You can now continue with the user's answers in mind.","tool_use_id":"toolu_01HxK9wSzjSwtyLwBtZUc6b7"}]},"uuid":"aaa5d7ba-3fd0-46ce-8f4e-55d9a539eb7b","timestamp":"2026-03-10T20:22:33.083Z","toolUseResult":{"questions":[{"question":"The plan covers 16 missing `defer rows.Close()` calls across stats.go, tags.go, and node.go. Should I also address anything else?","header":"Scope","options":[{"label":"rows.Close() only (Recommended)","description":"Fix the 16 missing defer rows.Close() calls. This directly addresses the memory leak."},{"label":"Also check unbounded queries","description":"Additionally review queries without LIMIT that could cause large allocations on full table scans."},{"label":"Also add rows.Err() checks","description":"Additionally add missing rows.Err() checks after scan loops (best practice to catch iteration errors)."}],"multiSelect":true}],"answers":{"The plan covers 16 missing `defer rows.Close()` calls across stats.go, tags.go, and node.go. Should I also address anything else?":"Also add rows.Err() checks, Also check unbounded queries, rows.Close() only (Recommended)"}},"sourceToolAssistantUUID":"5360d478-1da1-42fe-849d-6b012b9c5585"} +{"parentUuid":"aaa5d7ba-3fd0-46ce-8f4e-55d9a539eb7b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_011388H6HaTNMu642PtVtHvd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":429,"cache_read_input_tokens":81147,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":429},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2HbF8M7MZWPcZevX6k","type":"assistant","uuid":"a9aadfbe-3838-4762-a62a-d37ad0e997d0","timestamp":"2026-03-10T20:22:37.123Z"} +{"parentUuid":"a9aadfbe-3838-4762-a62a-d37ad0e997d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_011388H6HaTNMu642PtVtHvd","type":"message","role":"assistant","content":[{"type":"text","text":"Let me investigate the missing `rows.Err()` checks and unbounded queries before updating the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":429,"cache_read_input_tokens":81147,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":429},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2HbF8M7MZWPcZevX6k","type":"assistant","uuid":"aa49c084-5126-4627-bfc9-2bcf77c4e78b","timestamp":"2026-03-10T20:22:37.703Z"} 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context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 547→\tquery, qerr := AccessCheck(ctx,\n 548→\t\tsq.Select(column).\n 549→\t\t\tFrom(\"node\").\n 550→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 551→\t\t\tWhere(latestStateCondition()))\n 552→\tif qerr != nil {\n 553→\t\treturn nil, qerr\n 554→\t}\n 555→\n 556→\tquery = applyNodeFilters(query, filters)\n 557→\n 558→\trows, err := query.RunWith(r.stmtCache).Query()\n 559→\tif err != nil {\n 560→\t\tqueryString, queryVars, _ := query.ToSql()\n 561→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 562→\t\treturn nil, err\n 563→\t}\n 564→\n 565→\tstateMap := map[string]int{}\n 566→\tfor rows.Next() {\n 567→\t\tvar state string\n 568→\t\tif err := rows.Scan(&state); err != nil {\n 569→\t\t\trows.Close()\n 570→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 571→\t\t\treturn nil, err\n 572→\t\t}\n 573→\n 574→\t\tstateMap[state] += 1\n 575→\t}\n 576→\n 577→\tnodes := make([]*model.NodeStates, 0)\n 578→\tfor state, counts := range stateMap {\n 579→\t\tnode := model.NodeStates{State: state, Count: counts}\n 580→\t\tnodes = append(nodes, &node)\n 581→\t}\n 582→\n 583→\treturn nodes, nil\n 584→}\n 585→"}]},"uuid":"453776a3-5544-4902-97d5-75ca47721da5","timestamp":"2026-03-10T20:23:02.782Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n","numLines":40,"startLine":546,"totalLines":850}},"sourceToolAssistantUUID":"a3e1743e-d3fa-43f7-99cc-4ea5b8062133"} +{"parentUuid":"453776a3-5544-4902-97d5-75ca47721da5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_012zNitqVyZXmqVZTAEnsHaj","type":"message","role":"assistant","content":[{"type":"text","text":"Good catch — `CountStates` fetches every individual row and counts in Go, when it should use `COUNT(*) ... GROUP BY` in SQL. Now let me update the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1349,"cache_read_input_tokens":82367,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1349},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2KnCF1BDMu31JxxhRR","type":"assistant","uuid":"a2ad9f38-4ae8-4c98-beaf-2c294973897a","timestamp":"2026-03-10T20:23:06.714Z"} +{"parentUuid":"a2ad9f38-4ae8-4c98-beaf-2c294973897a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_012zNitqVyZXmqVZTAEnsHaj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0198UiudDgoBCPpepVvPABpJ","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1349,"cache_read_input_tokens":82367,"output_tokens":112,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1349,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2KnCF1BDMu31JxxhRR","type":"assistant","uuid":"6d705429-300d-44a3-8fdd-75a737fa79d0","timestamp":"2026-03-10T20:23:07.565Z"} +{"parentUuid":"6d705429-300d-44a3-8fdd-75a737fa79d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0198UiudDgoBCPpepVvPABpJ","toolUseID":"toolu_0198UiudDgoBCPpepVvPABpJ","timestamp":"2026-03-10T20:23:07.569Z","uuid":"47db919a-54b4-40b0-9a8d-4c9ffd3de4ea"} +{"parentUuid":"6d705429-300d-44a3-8fdd-75a737fa79d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0198UiudDgoBCPpepVvPABpJ","type":"tool_result","content":" 1→# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n 2→\n 3→## Context\n 4→\n 5→Production memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n 6→\n 7→## Findings\n 8→\n 9→**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n 10→\n 11→In `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n 12→\n 13→`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n 14→\n 15→## Changes Required\n 16→\n 17→### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n 18→\n 19→Add `defer rows.Close()` immediately after the `if err != nil` check for each:\n 20→\n 21→| Line | Function |\n 22→|------|----------|\n 23→| 233 | `JobsStatsGrouped` |\n 24→| 438 | `JobCountGrouped` |\n 25→| 494 | `AddJobCountGrouped` |\n 26→| 553 | `AddJobCount` |\n 27→| 753 | `jobsStatisticsHistogram` |\n 28→| 821 | `jobsDurationStatisticsHistogram` |\n 29→| 946 | `jobsMetricStatisticsHistogram` |\n 30→\n 31→Pattern — after each `Query()` error check, add:\n 32→```go\n 33→rows, err := query.RunWith(r.DB).Query()\n 34→if err != nil {\n 35→ ...\n 36→ return nil, err\n 37→}\n 38→defer rows.Close() // <-- ADD THIS\n 39→```\n 40→\n 41→### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n 42→\n 43→**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n 44→\n 45→**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n 46→\n 47→### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n 48→\n 49→**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n 50→**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n 51→**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n 52→\n 53→### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n 54→\n 55→**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n 56→\n 57→**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n 58→\n 59→**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n 60→\n 61→**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n 62→\n 63→## Summary of All Edits\n 64→\n 65→| File | Function | Action |\n 66→|------|----------|--------|\n 67→| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n 68→| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n 69→| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n 70→| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n 71→| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n 72→| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n 73→| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n 74→| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n 75→| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n 76→| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n 77→| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n 78→| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n 79→| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n 80→| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n 81→| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n 82→| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n 83→\n 84→## Verification\n 85→\n 86→1. `go build ./...` — ensure it compiles\n 87→2. `go test ./internal/repository/...` — run repository tests\n 88→3. `go vet ./internal/repository/...` — static analysis\n 89→"}]},"uuid":"6e9d0202-bf87-4ffb-a57a-09f8441b4016","timestamp":"2026-03-10T20:23:07.569Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","content":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n","numLines":89,"startLine":1,"totalLines":89}},"sourceToolAssistantUUID":"6d705429-300d-44a3-8fdd-75a737fa79d0"} +{"parentUuid":"6e9d0202-bf87-4ffb-a57a-09f8441b4016","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01B4pSNQqf5kqNgM34EoFP84","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CeDJEZ4c3DPciNk9AYaEXp","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/refactored-wishing-journal.md","content":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Part 1: Missing `defer rows.Close()` (16 locations)\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (plus additional in tags/node). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\n### 1a. `internal/repository/stats.go` — 7 functions\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 237 | `JobsStatsGrouped` |\n| 442 | `JobCountGrouped` |\n| 498 | `AddJobCountGrouped` |\n| 557 | `AddJobCount` |\n| 757 | `jobsStatisticsHistogram` |\n| 825 | `jobsDurationStatisticsHistogram` |\n| 950 | `jobsMetricStatisticsHistogram` |\n\n### 1b. `internal/repository/tags.go` — 5 locations\n\n| Line | Function | Detail |\n|------|----------|--------|\n| 284 | `CountTags` | Add `defer xrows.Close()` after Queryx error check |\n| 336 | `CountTags` | Add `defer rows.Close()` after Query error check |\n| 513 | `GetTags` | Add `defer rows.Close()` |\n| 546 | `GetTagsDirect` | Add `defer rows.Close()` |\n| 584 | `getArchiveTags` | Add `defer rows.Close()` |\n\n### 1c. `internal/repository/node.go` — 4 functions\n\nReplace manual `rows.Close()` in error-only paths with `defer rows.Close()`:\n\n| Line | Function | Also remove manual close at |\n|------|----------|----|\n| 368 | `QueryNodes` | L375 |\n| 417 | `QueryNodesWithMeta` | L427 |\n| 563 | `CountStates` | L569 |\n| 625 | `CountStatesTimed` | L633 |\n\n## Part 2: Missing `rows.Err()` Checks\n\nAfter a `rows.Next()` loop, `rows.Err()` should be checked to detect iteration errors (e.g., connection lost mid-scan). Currently only 3 of ~22 query sites check it.\n\nAdd `rows.Err()` check after the scan loop in every function touched by Part 1. Pattern:\n\n```go\nfor rows.Next() {\n // ... scan ...\n}\nif err := rows.Err(); err != nil {\n return nil, err\n}\n```\n\nFunctions needing this (same 16 locations as Part 1 — all functions listed above).\n\n## Part 3: Unbounded Query Optimization\n\n### 3a. `CountStates` in `node.go:546` — counting in Go instead of SQL\n\nCurrently fetches every individual row (`SELECT column FROM node ...`) and counts in Go with a map. Should use SQL aggregation instead:\n\n```go\n// BEFORE: fetches N rows, counts in Go\nsq.Select(column).From(\"node\")...\n\n// AFTER: let SQL do the counting\nsq.Select(column, \"COUNT(*) as count\").From(\"node\")...GroupBy(column)\n```\n\nThis changes the scan from `rows.Scan(&state)` to `rows.Scan(&state, &count)` and eliminates the Go-side counting loop. Reduces rows transferred from N (number of nodes) to ~5 (number of distinct states).\n\n### 3b. `AddJobCount` in `stats.go:541` — uses `.Query()` instead of `.QueryRow()`\n\n`AddJobCount` builds a count query without GROUP BY (returns a single row) but uses `.Query()` + loop instead of `.QueryRow()`. Should be simplified to `QueryRow().Scan()` like `JobsStats` does. This eliminates the rows object entirely.\n\n## Summary of All Edits\n\n| File | Function | Actions |\n|------|----------|---------|\n| `stats.go` | `JobsStatsGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `JobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCount` | Rewrite to use `QueryRow` instead of `Query` |\n| `stats.go` | `jobsStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `CountTags` (xrows) | + `defer xrows.Close()`, + `xrows.Err()` after loop |\n| `tags.go` | `CountTags` (rows) | + `defer rows.Close()` (already has `rows.Err()`) |\n| `tags.go` | `GetTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `GetTagsDirect` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `getArchiveTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `node.go` | `QueryNodes` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `QueryNodesWithMeta` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `CountStates` | Rewrite to use SQL `COUNT(*)...GROUP BY`, + `defer rows.Close()`, remove manual close |\n| `node.go` | `CountStatesTimed` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1894,"cache_read_input_tokens":83716,"output_tokens":1814,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1894,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2L8ZMEAPL9UQng1zPq","type":"assistant","uuid":"c8a4d459-893d-491a-b234-9dde22cbdf90","timestamp":"2026-03-10T20:23:39.494Z"} +{"parentUuid":"c8a4d459-893d-491a-b234-9dde22cbdf90","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01CeDJEZ4c3DPciNk9AYaEXp","toolUseID":"toolu_01CeDJEZ4c3DPciNk9AYaEXp","timestamp":"2026-03-10T20:23:39.524Z","uuid":"2684b096-0d2a-4533-a843-1dd07b6e235e"} +{"parentUuid":"c8a4d459-893d-491a-b234-9dde22cbdf90","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CeDJEZ4c3DPciNk9AYaEXp","type":"tool_result","content":"The file /Users/jan/.claude/plans/refactored-wishing-journal.md has been updated successfully."}]},"uuid":"dc6dedb9-4c61-4bd5-a0e0-13220988e53e","timestamp":"2026-03-10T20:23:39.523Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md","content":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Part 1: Missing `defer rows.Close()` (16 locations)\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (plus additional in tags/node). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\n### 1a. `internal/repository/stats.go` — 7 functions\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 237 | `JobsStatsGrouped` |\n| 442 | `JobCountGrouped` |\n| 498 | `AddJobCountGrouped` |\n| 557 | `AddJobCount` |\n| 757 | `jobsStatisticsHistogram` |\n| 825 | `jobsDurationStatisticsHistogram` |\n| 950 | `jobsMetricStatisticsHistogram` |\n\n### 1b. `internal/repository/tags.go` — 5 locations\n\n| Line | Function | Detail |\n|------|----------|--------|\n| 284 | `CountTags` | Add `defer xrows.Close()` after Queryx error check |\n| 336 | `CountTags` | Add `defer rows.Close()` after Query error check |\n| 513 | `GetTags` | Add `defer rows.Close()` |\n| 546 | `GetTagsDirect` | Add `defer rows.Close()` |\n| 584 | `getArchiveTags` | Add `defer rows.Close()` |\n\n### 1c. `internal/repository/node.go` — 4 functions\n\nReplace manual `rows.Close()` in error-only paths with `defer rows.Close()`:\n\n| Line | Function | Also remove manual close at |\n|------|----------|----|\n| 368 | `QueryNodes` | L375 |\n| 417 | `QueryNodesWithMeta` | L427 |\n| 563 | `CountStates` | L569 |\n| 625 | `CountStatesTimed` | L633 |\n\n## Part 2: Missing `rows.Err()` Checks\n\nAfter a `rows.Next()` loop, `rows.Err()` should be checked to detect iteration errors (e.g., connection lost mid-scan). Currently only 3 of ~22 query sites check it.\n\nAdd `rows.Err()` check after the scan loop in every function touched by Part 1. Pattern:\n\n```go\nfor rows.Next() {\n // ... scan ...\n}\nif err := rows.Err(); err != nil {\n return nil, err\n}\n```\n\nFunctions needing this (same 16 locations as Part 1 — all functions listed above).\n\n## Part 3: Unbounded Query Optimization\n\n### 3a. `CountStates` in `node.go:546` — counting in Go instead of SQL\n\nCurrently fetches every individual row (`SELECT column FROM node ...`) and counts in Go with a map. Should use SQL aggregation instead:\n\n```go\n// BEFORE: fetches N rows, counts in Go\nsq.Select(column).From(\"node\")...\n\n// AFTER: let SQL do the counting\nsq.Select(column, \"COUNT(*) as count\").From(\"node\")...GroupBy(column)\n```\n\nThis changes the scan from `rows.Scan(&state)` to `rows.Scan(&state, &count)` and eliminates the Go-side counting loop. Reduces rows transferred from N (number of nodes) to ~5 (number of distinct states).\n\n### 3b. `AddJobCount` in `stats.go:541` — uses `.Query()` instead of `.QueryRow()`\n\n`AddJobCount` builds a count query without GROUP BY (returns a single row) but uses `.Query()` + loop instead of `.QueryRow()`. Should be simplified to `QueryRow().Scan()` like `JobsStats` does. This eliminates the rows object entirely.\n\n## Summary of All Edits\n\n| File | Function | Actions |\n|------|----------|---------|\n| `stats.go` | `JobsStatsGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `JobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCount` | Rewrite to use `QueryRow` instead of `Query` |\n| `stats.go` | `jobsStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `CountTags` (xrows) | + `defer xrows.Close()`, + `xrows.Err()` after loop |\n| `tags.go` | `CountTags` (rows) | + `defer rows.Close()` (already has `rows.Err()`) |\n| `tags.go` | `GetTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `GetTagsDirect` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `getArchiveTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `node.go` | `QueryNodes` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `QueryNodesWithMeta` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `CountStates` | Rewrite to use SQL `COUNT(*)...GROUP BY`, + `defer rows.Close()`, remove manual close |\n| `node.go` | `CountStatesTimed` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n","structuredPatch":[{"oldStart":4,"oldLines":82,"newStart":4,"newLines":102,"lines":[" "," Production memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns)."," ","-## Findings","+## Part 1: Missing `defer rows.Close()` (16 locations)"," ","-**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.","+**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (plus additional in tags/node). Additionally, 1 `Queryx` call in `tags.go` is also missing close."," ","-In `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.","+### 1a. `internal/repository/stats.go` — 7 functions"," ","-`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).","-","-## Changes Required","-","-### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`","-"," Add `defer rows.Close()` immediately after the `if err != nil` check for each:"," "," | Line | Function |"," |------|----------|","-| 233 | `JobsStatsGrouped` |","-| 438 | `JobCountGrouped` |","-| 494 | `AddJobCountGrouped` |","-| 553 | `AddJobCount` |","-| 753 | `jobsStatisticsHistogram` |","-| 821 | `jobsDurationStatisticsHistogram` |","-| 946 | `jobsMetricStatisticsHistogram` |","+| 237 | `JobsStatsGrouped` |","+| 442 | `JobCountGrouped` |","+| 498 | `AddJobCountGrouped` |","+| 557 | `AddJobCount` |","+| 757 | `jobsStatisticsHistogram` |","+| 825 | `jobsDurationStatisticsHistogram` |","+| 950 | `jobsMetricStatisticsHistogram` |"," ","-Pattern — after each `Query()` error check, add:","+### 1b. `internal/repository/tags.go` — 5 locations","+","+| Line | Function | Detail |","+|------|----------|--------|","+| 284 | `CountTags` | Add `defer xrows.Close()` after Queryx error check |","+| 336 | `CountTags` | Add `defer rows.Close()` after Query error check |","+| 513 | `GetTags` | Add `defer rows.Close()` |","+| 546 | `GetTagsDirect` | Add `defer rows.Close()` |","+| 584 | `getArchiveTags` | Add `defer rows.Close()` |","+","+### 1c. `internal/repository/node.go` — 4 functions","+","+Replace manual `rows.Close()` in error-only paths with `defer rows.Close()`:","+","+| Line | Function | Also remove manual close at |","+|------|----------|----|","+| 368 | `QueryNodes` | L375 |","+| 417 | `QueryNodesWithMeta` | L427 |","+| 563 | `CountStates` | L569 |","+| 625 | `CountStatesTimed` | L633 |","+","+## Part 2: Missing `rows.Err()` Checks","+","+After a `rows.Next()` loop, `rows.Err()` should be checked to detect iteration errors (e.g., connection lost mid-scan). Currently only 3 of ~22 query sites check it.","+","+Add `rows.Err()` check after the scan loop in every function touched by Part 1. Pattern:","+"," ```go","-rows, err := query.RunWith(r.DB).Query()","-if err != nil {","- ...","+for rows.Next() {","+ // ... scan ...","+}","+if err := rows.Err(); err != nil {"," return nil, err"," }","-defer rows.Close() // <-- ADD THIS"," ```"," ","-### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`","+Functions needing this (same 16 locations as Part 1 — all functions listed above)."," ","-**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.","+## Part 3: Unbounded Query Optimization"," ","-**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.","+### 3a. `CountStates` in `node.go:546` — counting in Go instead of SQL"," ","-### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`","+Currently fetches every individual row (`SELECT column FROM node ...`) and counts in Go with a map. Should use SQL aggregation instead:"," ","-**Line 508** (`GetTags`): add `defer rows.Close()` after error check.","-**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.","-**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.","+```go","+// BEFORE: fetches N rows, counts in Go","+sq.Select(column).From(\"node\")..."," ","-### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`","+// AFTER: let SQL do the counting","+sq.Select(column, \"COUNT(*) as count\").From(\"node\")...GroupBy(column)","+```"," ","-**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.","+This changes the scan from `rows.Scan(&state)` to `rows.Scan(&state, &count)` and eliminates the Go-side counting loop. Reduces rows transferred from N (number of nodes) to ~5 (number of distinct states)."," ","-**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.","+### 3b. `AddJobCount` in `stats.go:541` — uses `.Query()` instead of `.QueryRow()`"," ","-**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.","+`AddJobCount` builds a count query without GROUP BY (returns a single row) but uses `.Query()` + loop instead of `.QueryRow()`. Should be simplified to `QueryRow().Scan()` like `JobsStats` does. This eliminates the rows object entirely."," ","-**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.","-"," ## Summary of All Edits"," ","-| File | Function | Action |","-|------|----------|--------|","-| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |","-| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |","-| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |","-| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |","-| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |","-| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |","-| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |","-| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |","-| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |","-| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |","-| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |","-| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |","-| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |","-| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |","-| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |","-| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |","+| File | Function | Actions |","+|------|----------|---------|","+| `stats.go` | `JobsStatsGrouped` | + `defer rows.Close()`, + `rows.Err()` |","+| `stats.go` | `JobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |","+| `stats.go` | `AddJobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |","+| `stats.go` | `AddJobCount` | Rewrite to use `QueryRow` instead of `Query` |","+| `stats.go` | `jobsStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |","+| `stats.go` | `jobsDurationStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |","+| `stats.go` | `jobsMetricStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |","+| `tags.go` | `CountTags` (xrows) | + `defer xrows.Close()`, + `xrows.Err()` after loop |","+| `tags.go` | `CountTags` (rows) | + `defer rows.Close()` (already has `rows.Err()`) |","+| `tags.go` | `GetTags` | + `defer rows.Close()`, + `rows.Err()` |","+| `tags.go` | `GetTagsDirect` | + `defer rows.Close()`, + `rows.Err()` |","+| `tags.go` | `getArchiveTags` | + `defer rows.Close()`, + `rows.Err()` |","+| `node.go` | `QueryNodes` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |","+| `node.go` | `QueryNodesWithMeta` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |","+| `node.go` | `CountStates` | Rewrite to use SQL `COUNT(*)...GROUP BY`, + `defer rows.Close()`, remove manual close |","+| `node.go` | `CountStatesTimed` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |"," "," ## Verification"," "]}],"originalFile":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"},"sourceToolAssistantUUID":"c8a4d459-893d-491a-b234-9dde22cbdf90"} +{"parentUuid":"dc6dedb9-4c61-4bd5-a0e0-13220988e53e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018radTg63cUS9eKLKVqQsUp","type":"message","role":"assistant","content":[{"type":"text","text":"Plan updated with all three scopes:\n\n1. **16 missing `defer rows.Close()`** — the core memory leak fix\n2. **Missing `rows.Err()` checks** — added to all 16 locations for proper error detection after scan loops\n3. **Two unbounded query optimizations**:\n - `CountStates` fetches every node row and counts in Go — rewrite to `COUNT(*) ... GROUP BY` in SQL\n - `AddJobCount` uses `.Query()` + loop for a single-row result — simplify to `.QueryRow()`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2932,"cache_read_input_tokens":85610,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2932},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2NVE7fn9iwdCVqg8q7","type":"assistant","uuid":"aa2dd5c0-2ff9-4f61-bfa6-50c06a304931","timestamp":"2026-03-10T20:23:46.385Z"} +{"parentUuid":"aa2dd5c0-2ff9-4f61-bfa6-50c06a304931","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018radTg63cUS9eKLKVqQsUp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011ztfW8KfmTTU1RWkW9ykGG","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build, go test, or go vet"}],"plan":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Part 1: Missing `defer rows.Close()` (16 locations)\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (plus additional in tags/node). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\n### 1a. `internal/repository/stats.go` — 7 functions\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 237 | `JobsStatsGrouped` |\n| 442 | `JobCountGrouped` |\n| 498 | `AddJobCountGrouped` |\n| 557 | `AddJobCount` |\n| 757 | `jobsStatisticsHistogram` |\n| 825 | `jobsDurationStatisticsHistogram` |\n| 950 | `jobsMetricStatisticsHistogram` |\n\n### 1b. `internal/repository/tags.go` — 5 locations\n\n| Line | Function | Detail |\n|------|----------|--------|\n| 284 | `CountTags` | Add `defer xrows.Close()` after Queryx error check |\n| 336 | `CountTags` | Add `defer rows.Close()` after Query error check |\n| 513 | `GetTags` | Add `defer rows.Close()` |\n| 546 | `GetTagsDirect` | Add `defer rows.Close()` |\n| 584 | `getArchiveTags` | Add `defer rows.Close()` |\n\n### 1c. `internal/repository/node.go` — 4 functions\n\nReplace manual `rows.Close()` in error-only paths with `defer rows.Close()`:\n\n| Line | Function | Also remove manual close at |\n|------|----------|----|\n| 368 | `QueryNodes` | L375 |\n| 417 | `QueryNodesWithMeta` | L427 |\n| 563 | `CountStates` | L569 |\n| 625 | `CountStatesTimed` | L633 |\n\n## Part 2: Missing `rows.Err()` Checks\n\nAfter a `rows.Next()` loop, `rows.Err()` should be checked to detect iteration errors (e.g., connection lost mid-scan). Currently only 3 of ~22 query sites check it.\n\nAdd `rows.Err()` check after the scan loop in every function touched by Part 1. Pattern:\n\n```go\nfor rows.Next() {\n // ... scan ...\n}\nif err := rows.Err(); err != nil {\n return nil, err\n}\n```\n\nFunctions needing this (same 16 locations as Part 1 — all functions listed above).\n\n## Part 3: Unbounded Query Optimization\n\n### 3a. `CountStates` in `node.go:546` — counting in Go instead of SQL\n\nCurrently fetches every individual row (`SELECT column FROM node ...`) and counts in Go with a map. Should use SQL aggregation instead:\n\n```go\n// BEFORE: fetches N rows, counts in Go\nsq.Select(column).From(\"node\")...\n\n// AFTER: let SQL do the counting\nsq.Select(column, \"COUNT(*) as count\").From(\"node\")...GroupBy(column)\n```\n\nThis changes the scan from `rows.Scan(&state)` to `rows.Scan(&state, &count)` and eliminates the Go-side counting loop. Reduces rows transferred from N (number of nodes) to ~5 (number of distinct states).\n\n### 3b. `AddJobCount` in `stats.go:541` — uses `.Query()` instead of `.QueryRow()`\n\n`AddJobCount` builds a count query without GROUP BY (returns a single row) but uses `.Query()` + loop instead of `.QueryRow()`. Should be simplified to `QueryRow().Scan()` like `JobsStats` does. This eliminates the rows object entirely.\n\n## Summary of All Edits\n\n| File | Function | Actions |\n|------|----------|---------|\n| `stats.go` | `JobsStatsGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `JobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCount` | Rewrite to use `QueryRow` instead of `Query` |\n| `stats.go` | `jobsStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `CountTags` (xrows) | + `defer xrows.Close()`, + `xrows.Err()` after loop |\n| `tags.go` | `CountTags` (rows) | + `defer rows.Close()` (already has `rows.Err()`) |\n| `tags.go` | `GetTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `GetTagsDirect` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `getArchiveTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `node.go` | `QueryNodes` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `QueryNodesWithMeta` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `CountStates` | Rewrite to use SQL `COUNT(*)...GROUP BY`, + `defer rows.Close()`, remove manual close |\n| `node.go` | `CountStatesTimed` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2932,"cache_read_input_tokens":85610,"output_tokens":214,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2932,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2NVE7fn9iwdCVqg8q7","type":"assistant","uuid":"19f5d470-8272-477d-ab9f-21d201d49af7","timestamp":"2026-03-10T20:23:47.099Z"} +{"parentUuid":"19f5d470-8272-477d-ab9f-21d201d49af7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has approved your plan. You can now start coding. Start with updating your todo list if applicable\n\nYour plan has been saved to: /Users/jan/.claude/plans/refactored-wishing-journal.md\nYou can refer back to it if needed during implementation.\n\n## Approved Plan:\n# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Part 1: Missing `defer rows.Close()` (16 locations)\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (plus additional in tags/node). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\n### 1a. `internal/repository/stats.go` — 7 functions\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 237 | `JobsStatsGrouped` |\n| 442 | `JobCountGrouped` |\n| 498 | `AddJobCountGrouped` |\n| 557 | `AddJobCount` |\n| 757 | `jobsStatisticsHistogram` |\n| 825 | `jobsDurationStatisticsHistogram` |\n| 950 | `jobsMetricStatisticsHistogram` |\n\n### 1b. `internal/repository/tags.go` — 5 locations\n\n| Line | Function | Detail |\n|------|----------|--------|\n| 284 | `CountTags` | Add `defer xrows.Close()` after Queryx error check |\n| 336 | `CountTags` | Add `defer rows.Close()` after Query error check |\n| 513 | `GetTags` | Add `defer rows.Close()` |\n| 546 | `GetTagsDirect` | Add `defer rows.Close()` |\n| 584 | `getArchiveTags` | Add `defer rows.Close()` |\n\n### 1c. `internal/repository/node.go` — 4 functions\n\nReplace manual `rows.Close()` in error-only paths with `defer rows.Close()`:\n\n| Line | Function | Also remove manual close at |\n|------|----------|----|\n| 368 | `QueryNodes` | L375 |\n| 417 | `QueryNodesWithMeta` | L427 |\n| 563 | `CountStates` | L569 |\n| 625 | `CountStatesTimed` | L633 |\n\n## Part 2: Missing `rows.Err()` Checks\n\nAfter a `rows.Next()` loop, `rows.Err()` should be checked to detect iteration errors (e.g., connection lost mid-scan). Currently only 3 of ~22 query sites check it.\n\nAdd `rows.Err()` check after the scan loop in every function touched by Part 1. Pattern:\n\n```go\nfor rows.Next() {\n // ... scan ...\n}\nif err := rows.Err(); err != nil {\n return nil, err\n}\n```\n\nFunctions needing this (same 16 locations as Part 1 — all functions listed above).\n\n## Part 3: Unbounded Query Optimization\n\n### 3a. `CountStates` in `node.go:546` — counting in Go instead of SQL\n\nCurrently fetches every individual row (`SELECT column FROM node ...`) and counts in Go with a map. Should use SQL aggregation instead:\n\n```go\n// BEFORE: fetches N rows, counts in Go\nsq.Select(column).From(\"node\")...\n\n// AFTER: let SQL do the counting\nsq.Select(column, \"COUNT(*) as count\").From(\"node\")...GroupBy(column)\n```\n\nThis changes the scan from `rows.Scan(&state)` to `rows.Scan(&state, &count)` and eliminates the Go-side counting loop. Reduces rows transferred from N (number of nodes) to ~5 (number of distinct states).\n\n### 3b. `AddJobCount` in `stats.go:541` — uses `.Query()` instead of `.QueryRow()`\n\n`AddJobCount` builds a count query without GROUP BY (returns a single row) but uses `.Query()` + loop instead of `.QueryRow()`. Should be simplified to `QueryRow().Scan()` like `JobsStats` does. This eliminates the rows object entirely.\n\n## Summary of All Edits\n\n| File | Function | Actions |\n|------|----------|---------|\n| `stats.go` | `JobsStatsGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `JobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCount` | Rewrite to use `QueryRow` instead of `Query` |\n| `stats.go` | `jobsStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `CountTags` (xrows) | + `defer xrows.Close()`, + `xrows.Err()` after loop |\n| `tags.go` | `CountTags` (rows) | + `defer rows.Close()` (already has `rows.Err()`) |\n| `tags.go` | `GetTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `GetTagsDirect` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `getArchiveTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `node.go` | `QueryNodes` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `QueryNodesWithMeta` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `CountStates` | Rewrite to use SQL `COUNT(*)...GROUP BY`, + `defer rows.Close()`, remove manual close |\n| `node.go` | `CountStatesTimed` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n","tool_use_id":"toolu_011ztfW8KfmTTU1RWkW9ykGG"}]},"uuid":"8502a478-d6d9-4753-ab9e-ad65c746c397","timestamp":"2026-03-10T20:24:24.186Z","toolUseResult":{"plan":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Part 1: Missing `defer rows.Close()` (16 locations)\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (plus additional in tags/node). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\n### 1a. `internal/repository/stats.go` — 7 functions\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 237 | `JobsStatsGrouped` |\n| 442 | `JobCountGrouped` |\n| 498 | `AddJobCountGrouped` |\n| 557 | `AddJobCount` |\n| 757 | `jobsStatisticsHistogram` |\n| 825 | `jobsDurationStatisticsHistogram` |\n| 950 | `jobsMetricStatisticsHistogram` |\n\n### 1b. `internal/repository/tags.go` — 5 locations\n\n| Line | Function | Detail |\n|------|----------|--------|\n| 284 | `CountTags` | Add `defer xrows.Close()` after Queryx error check |\n| 336 | `CountTags` | Add `defer rows.Close()` after Query error check |\n| 513 | `GetTags` | Add `defer rows.Close()` |\n| 546 | `GetTagsDirect` | Add `defer rows.Close()` |\n| 584 | `getArchiveTags` | Add `defer rows.Close()` |\n\n### 1c. `internal/repository/node.go` — 4 functions\n\nReplace manual `rows.Close()` in error-only paths with `defer rows.Close()`:\n\n| Line | Function | Also remove manual close at |\n|------|----------|----|\n| 368 | `QueryNodes` | L375 |\n| 417 | `QueryNodesWithMeta` | L427 |\n| 563 | `CountStates` | L569 |\n| 625 | `CountStatesTimed` | L633 |\n\n## Part 2: Missing `rows.Err()` Checks\n\nAfter a `rows.Next()` loop, `rows.Err()` should be checked to detect iteration errors (e.g., connection lost mid-scan). Currently only 3 of ~22 query sites check it.\n\nAdd `rows.Err()` check after the scan loop in every function touched by Part 1. Pattern:\n\n```go\nfor rows.Next() {\n // ... scan ...\n}\nif err := rows.Err(); err != nil {\n return nil, err\n}\n```\n\nFunctions needing this (same 16 locations as Part 1 — all functions listed above).\n\n## Part 3: Unbounded Query Optimization\n\n### 3a. `CountStates` in `node.go:546` — counting in Go instead of SQL\n\nCurrently fetches every individual row (`SELECT column FROM node ...`) and counts in Go with a map. Should use SQL aggregation instead:\n\n```go\n// BEFORE: fetches N rows, counts in Go\nsq.Select(column).From(\"node\")...\n\n// AFTER: let SQL do the counting\nsq.Select(column, \"COUNT(*) as count\").From(\"node\")...GroupBy(column)\n```\n\nThis changes the scan from `rows.Scan(&state)` to `rows.Scan(&state, &count)` and eliminates the Go-side counting loop. Reduces rows transferred from N (number of nodes) to ~5 (number of distinct states).\n\n### 3b. `AddJobCount` in `stats.go:541` — uses `.Query()` instead of `.QueryRow()`\n\n`AddJobCount` builds a count query without GROUP BY (returns a single row) but uses `.Query()` + loop instead of `.QueryRow()`. Should be simplified to `QueryRow().Scan()` like `JobsStats` does. This eliminates the rows object entirely.\n\n## Summary of All Edits\n\n| File | Function | Actions |\n|------|----------|---------|\n| `stats.go` | `JobsStatsGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `JobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCountGrouped` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `AddJobCount` | Rewrite to use `QueryRow` instead of `Query` |\n| `stats.go` | `jobsStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsDurationStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `stats.go` | `jobsMetricStatisticsHistogram` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `CountTags` (xrows) | + `defer xrows.Close()`, + `xrows.Err()` after loop |\n| `tags.go` | `CountTags` (rows) | + `defer rows.Close()` (already has `rows.Err()`) |\n| `tags.go` | `GetTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `GetTagsDirect` | + `defer rows.Close()`, + `rows.Err()` |\n| `tags.go` | `getArchiveTags` | + `defer rows.Close()`, + `rows.Err()` |\n| `node.go` | `QueryNodes` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `QueryNodesWithMeta` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n| `node.go` | `CountStates` | Rewrite to use SQL `COUNT(*)...GROUP BY`, + `defer rows.Close()`, remove manual close |\n| `node.go` | `CountStatesTimed` | + `defer rows.Close()`, remove manual close, + `rows.Err()` |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n","isAgent":false,"filePath":"/Users/jan/.claude/plans/refactored-wishing-journal.md"},"sourceToolAssistantUUID":"19f5d470-8272-477d-ab9f-21d201d49af7"} +{"parentUuid":"8502a478-d6d9-4753-ab9e-ad65c746c397","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019wSWnLDQ5vcdBBqmtqraWh","type":"message","role":"assistant","content":[{"type":"text","text":"Let me start implementing. I'll work through the three files systematically.\n\n### stats.go — 7 fixes + `AddJobCount` rewrite"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2201,"cache_read_input_tokens":88542,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2201},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2RnJMeSaRSnJj6oRLN","type":"assistant","uuid":"1e80944b-9280-4743-a972-7926ead74ff2","timestamp":"2026-03-10T20:24:27.950Z"} +{"parentUuid":"1e80944b-9280-4743-a972-7926ead74ff2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_019wSWnLDQ5vcdBBqmtqraWh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JHQHDmAaHq8HfKw8STcqPT","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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}","new_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2201,"cache_read_input_tokens":88542,"output_tokens":580,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2201,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2RnJMeSaRSnJj6oRLN","type":"assistant","uuid":"2b952bc1-c6a9-45bb-a5d8-fb2dfbcee37b","timestamp":"2026-03-10T20:24:34.271Z"} +{"type":"file-history-snapshot","messageId":"2b952bc1-c6a9-45bb-a5d8-fb2dfbcee37b","snapshot":{"messageId":"d755e0bc-fc92-444f-9ffd-17746f2c89b8","trackedFileBackups":{"/Users/jan/.claude/plans/refactored-wishing-journal.md":{"backupFileName":null,"version":1,"backupTime":"2026-03-10T20:18:37.746Z"},"internal/repository/stats.go":{"backupFileName":"4426319480f78977@v1","version":1,"backupTime":"2026-03-10T20:24:34.301Z"}},"timestamp":"2026-03-10T20:15:59.248Z"},"isSnapshotUpdate":true} +{"parentUuid":"2b952bc1-c6a9-45bb-a5d8-fb2dfbcee37b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01JHQHDmAaHq8HfKw8STcqPT","toolUseID":"toolu_01JHQHDmAaHq8HfKw8STcqPT","timestamp":"2026-03-10T20:24:34.307Z","uuid":"07bea7d4-a427-42fc-a583-f3a36d9f74d2"} +{"parentUuid":"2b952bc1-c6a9-45bb-a5d8-fb2dfbcee37b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JHQHDmAaHq8HfKw8STcqPT","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"48d1a97c-cfc7-48ff-9e20-fbfda29bbb35","timestamp":"2026-03-10T20:24:34.307Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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}","newString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}","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":235,"oldLines":6,"newStart":235,"newLines":7,"lines":[" cclog.Warn(\"Error while querying DB for job statistics\")"," return nil, err"," }","+ defer rows.Close()"," "," stats := make([]*model.JobsStatistics, 0, 100)"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2b952bc1-c6a9-45bb-a5d8-fb2dfbcee37b"} +{"parentUuid":"48d1a97c-cfc7-48ff-9e20-fbfda29bbb35","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01W4NSXEteqQUxFmSvHzwJKC","type":"message","role":"assistant","content":[{"type":"text","text":"Now add `rows.Err()` after the loop in `JobsStatsGrouped`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":638,"cache_read_input_tokens":90743,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":638},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2SXUuY9Q3bPGh4AdBy","type":"assistant","uuid":"a3be5759-c54c-4c18-a38d-80b0c957e21d","timestamp":"2026-03-10T20:24:38.190Z"} +{"parentUuid":"a3be5759-c54c-4c18-a38d-80b0c957e21d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01W4NSXEteqQUxFmSvHzwJKC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018sFF7C5gtSwpYdadmQL6Xj","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}","new_string":"\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":638,"cache_read_input_tokens":90743,"output_tokens":228,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":638,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2SXUuY9Q3bPGh4AdBy","type":"assistant","uuid":"572d1448-70bd-4673-a90a-c9ab776e5500","timestamp":"2026-03-10T20:24:39.701Z"} +{"parentUuid":"572d1448-70bd-4673-a90a-c9ab776e5500","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018sFF7C5gtSwpYdadmQL6Xj","toolUseID":"toolu_018sFF7C5gtSwpYdadmQL6Xj","timestamp":"2026-03-10T20:24:39.723Z","uuid":"79c9f7df-009b-449a-abbf-25c5fd63f0d9"} +{"parentUuid":"572d1448-70bd-4673-a90a-c9ab776e5500","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018sFF7C5gtSwpYdadmQL6Xj","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"880b86d9-6c4c-4931-9a85-67369ba0df1c","timestamp":"2026-03-10T20:24:39.723Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}","newString":"\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\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":321,"oldLines":6,"newStart":321,"newLines":10,"lines":[" }"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," cclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))"," return stats, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"572d1448-70bd-4673-a90a-c9ab776e5500"} +{"parentUuid":"880b86d9-6c4c-4931-9a85-67369ba0df1c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QzjfuRQLc89a8xsqFrc5aB","type":"message","role":"assistant","content":[{"type":"text","text":"Now `JobCountGrouped`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":286,"cache_read_input_tokens":91381,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":286},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2SvbTY8y1wf2bpDvyK","type":"assistant","uuid":"70971c73-9617-45ca-9134-155fc7eb3581","timestamp":"2026-03-10T20:24:43.108Z"} +{"parentUuid":"70971c73-9617-45ca-9134-155fc7eb3581","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QzjfuRQLc89a8xsqFrc5aB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XQeQJiGMQHeebfXnCH8fjv","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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))","new_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":286,"cache_read_input_tokens":91381,"output_tokens":600,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":286,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2SvbTY8y1wf2bpDvyK","type":"assistant","uuid":"d756ba30-ca7c-41b7-b091-d420ccbbca14","timestamp":"2026-03-10T20:24:47.462Z"} +{"parentUuid":"d756ba30-ca7c-41b7-b091-d420ccbbca14","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01XQeQJiGMQHeebfXnCH8fjv","toolUseID":"toolu_01XQeQJiGMQHeebfXnCH8fjv","timestamp":"2026-03-10T20:24:47.481Z","uuid":"750afdb7-64e7-4420-96c6-65bbecf6911d"} +{"parentUuid":"d756ba30-ca7c-41b7-b091-d420ccbbca14","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XQeQJiGMQHeebfXnCH8fjv","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"076b4a1d-893b-46ea-81e3-11ca833c8ddb","timestamp":"2026-03-10T20:24:47.480Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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))","newString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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":445,"oldLines":6,"newStart":445,"newLines":7,"lines":[" cclog.Warn(\"Error while querying DB for job statistics\")"," return nil, err"," }","+ defer rows.Close()"," "," stats := make([]*model.JobsStatistics, 0, 100)"," "]},{"oldStart":464,"oldLines":6,"newStart":465,"newLines":10,"lines":[" }"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," cclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))"," return stats, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d756ba30-ca7c-41b7-b091-d420ccbbca14"} +{"parentUuid":"076b4a1d-893b-46ea-81e3-11ca833c8ddb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Cccyouqc2JiP1MHg87AWgd","type":"message","role":"assistant","content":[{"type":"text","text":"Now `AddJobCountGrouped`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":639,"cache_read_input_tokens":91667,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":639},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2TVpDksnYkwBJGPRFm","type":"assistant","uuid":"e42518cf-c0f4-4fdd-a9f2-69176688880b","timestamp":"2026-03-10T20:24:50.582Z"} +{"parentUuid":"e42518cf-c0f4-4fdd-a9f2-69176688880b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Cccyouqc2JiP1MHg87AWgd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017pw3nbDzBFBM7mNfCP49LW","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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 {","new_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":639,"cache_read_input_tokens":91667,"output_tokens":493,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":639,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2TVpDksnYkwBJGPRFm","type":"assistant","uuid":"a048fd46-4c68-436b-9974-799991637fe6","timestamp":"2026-03-10T20:24:53.786Z"} +{"parentUuid":"a048fd46-4c68-436b-9974-799991637fe6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017pw3nbDzBFBM7mNfCP49LW","toolUseID":"toolu_017pw3nbDzBFBM7mNfCP49LW","timestamp":"2026-03-10T20:24:53.817Z","uuid":"07752ddd-e6d7-4893-84b2-eb3ae4d7bca8"} +{"parentUuid":"a048fd46-4c68-436b-9974-799991637fe6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017pw3nbDzBFBM7mNfCP49LW","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"4078eb9a-fa17-44fb-af59-46c447e2be10","timestamp":"2026-03-10T20:24:53.817Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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 {","newString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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":506,"oldLines":6,"newStart":506,"newLines":7,"lines":[" cclog.Warn(\"Error while querying DB for job statistics\")"," return nil, err"," }","+ defer rows.Close()"," "," counts := make(map[string]int)"," "]},{"oldStart":521,"oldLines":6,"newStart":522,"newLines":10,"lines":[" }"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," switch kind {"," case \"running\":"," for _, s := range stats {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a048fd46-4c68-436b-9974-799991637fe6"} +{"parentUuid":"4078eb9a-fa17-44fb-af59-46c447e2be10","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YPbBvm22qr9hvxQgx11n8g","type":"message","role":"assistant","content":[{"type":"text","text":"Now rewrite `AddJobCount` to use `QueryRow`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":532,"cache_read_input_tokens":92306,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":532},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2Txpvrn6cHaAZ5HhHV","type":"assistant","uuid":"60c4e7ea-9732-454a-b13a-2fe1a293c762","timestamp":"2026-03-10T20:24:57.238Z"} +{"parentUuid":"60c4e7ea-9732-454a-b13a-2fe1a293c762","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YPbBvm22qr9hvxQgx11n8g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014w2SirRRnLz6xRpjLiJj65","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","offset":545,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":532,"cache_read_input_tokens":92306,"output_tokens":122,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":532,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2Txpvrn6cHaAZ5HhHV","type":"assistant","uuid":"e4882c3f-455b-4e71-bf07-a78cf947924d","timestamp":"2026-03-10T20:24:58.261Z"} +{"parentUuid":"e4882c3f-455b-4e71-bf07-a78cf947924d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014w2SirRRnLz6xRpjLiJj65","toolUseID":"toolu_014w2SirRRnLz6xRpjLiJj65","timestamp":"2026-03-10T20:24:58.293Z","uuid":"65a27c57-f32d-41f1-8e74-19cdbaff4ad4"} +{"parentUuid":"e4882c3f-455b-4e71-bf07-a78cf947924d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014w2SirRRnLz6xRpjLiJj65","type":"tool_result","content":" 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\trows, err := query.RunWith(r.DB).Query()\n 569→\tif err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tvar count int\n 575→\n 576→\tfor rows.Next() {\n 577→\t\tvar cnt sql.NullInt64\n 578→\t\tif err := rows.Scan(&cnt); err != nil {\n 579→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 580→\t\t\treturn nil, err\n 581→\t\t}\n 582→\n 583→\t\tcount = int(cnt.Int64)\n 584→\t}\n 585→\n 586→\tswitch kind {\n 587→\tcase \"running\":\n 588→\t\tfor _, s := range stats {\n 589→\t\t\ts.RunningJobs = count\n 590→\t\t}\n 591→\tcase \"short\":\n 592→\t\tfor _, s := range stats {\n 593→\t\t\ts.ShortJobs = count\n 594→\t\t}"}]},"uuid":"080575f7-458f-40f1-b2de-a1b8c6564006","timestamp":"2026-03-10T20:24:58.293Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","content":"//\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}","numLines":50,"startLine":545,"totalLines":1116}},"sourceToolAssistantUUID":"e4882c3f-455b-4e71-bf07-a78cf947924d"} +{"parentUuid":"080575f7-458f-40f1-b2de-a1b8c6564006","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0179RMFh4rjmuLz6emTHe42b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01K7jXHmM4tafPyY8vqX8jnF","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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 {","new_string":"\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":826,"cache_read_input_tokens":92838,"output_tokens":334,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":826,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2UHzMFeumuWHBH5AiA","type":"assistant","uuid":"305b8a68-767d-40fb-9e8a-e45e3e680adf","timestamp":"2026-03-10T20:25:03.841Z"} +{"parentUuid":"305b8a68-767d-40fb-9e8a-e45e3e680adf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01K7jXHmM4tafPyY8vqX8jnF","toolUseID":"toolu_01K7jXHmM4tafPyY8vqX8jnF","timestamp":"2026-03-10T20:25:03.871Z","uuid":"f6356eec-3889-4b2c-b4c4-5858a6570885"} +{"parentUuid":"305b8a68-767d-40fb-9e8a-e45e3e680adf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01K7jXHmM4tafPyY8vqX8jnF","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"6a8a6272-31ea-4956-9089-3ab07ef3d293","timestamp":"2026-03-10T20:25:03.870Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\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 {","newString":"\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\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":565,"oldLines":24,"newStart":565,"newLines":14,"lines":[" if err != nil {"," return nil, err"," }","- rows, err := query.RunWith(r.DB).Query()","- if err != nil {","- cclog.Warn(\"Error while querying DB for job statistics\")","+ var cnt sql.NullInt64","+ if err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {","+ cclog.Warn(\"Error while querying DB for job count\")"," return nil, err"," }"," ","- var count int","+ count := int(cnt.Int64)"," ","- for rows.Next() {","- var cnt sql.NullInt64","- if err := rows.Scan(&cnt); err != nil {","- cclog.Warn(\"Error while scanning rows\")","- return nil, err","- }","-","- count = int(cnt.Int64)","- }","-"," switch kind {"," case \"running\":"," for _, s := range stats {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"305b8a68-767d-40fb-9e8a-e45e3e680adf"} +{"parentUuid":"6a8a6272-31ea-4956-9089-3ab07ef3d293","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_012irh1vLjLGvVrTyNHaEdg9","type":"message","role":"assistant","content":[{"type":"text","text":"Now `jobsStatisticsHistogram`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":93664,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":373},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2Uhw1crKBRAFapDf8v","type":"assistant","uuid":"8ebf5963-dd8e-44fc-8291-651c6bc481df","timestamp":"2026-03-10T20:25:11.165Z"} +{"parentUuid":"8ebf5963-dd8e-44fc-8291-651c6bc481df","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_012irh1vLjLGvVrTyNHaEdg9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011EZAWPDnNRYcAtfyuQZ7CC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\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))","new_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":93664,"output_tokens":543,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":373,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2Uhw1crKBRAFapDf8v","type":"assistant","uuid":"c09ea0b1-9de7-4f3c-a908-77fefba8b62f","timestamp":"2026-03-10T20:25:16.532Z"} +{"parentUuid":"c09ea0b1-9de7-4f3c-a908-77fefba8b62f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_011EZAWPDnNRYcAtfyuQZ7CC","toolUseID":"toolu_011EZAWPDnNRYcAtfyuQZ7CC","timestamp":"2026-03-10T20:25:16.568Z","uuid":"630ea261-a1d3-4efe-a074-dcd2e1fc4475"} +{"parentUuid":"c09ea0b1-9de7-4f3c-a908-77fefba8b62f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011EZAWPDnNRYcAtfyuQZ7CC","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"33de3625-0a2b-40b8-a331-edce4b62e6db","timestamp":"2026-03-10T20:25:16.567Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\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))","newString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\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":760,"oldLines":6,"newStart":760,"newLines":7,"lines":[" cclog.Error(\"Error while running query\")"," return nil, err"," }","+ defer rows.Close()"," "," points := make([]*model.HistoPoint, 0)"," // is it possible to introduce zero values here? requires info about bincount"]},{"oldStart":772,"oldLines":6,"newStart":773,"newLines":11,"lines":[" "," points = append(points, &point)"," }","+","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," cclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))"," return points, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c09ea0b1-9de7-4f3c-a908-77fefba8b62f"} +{"parentUuid":"33de3625-0a2b-40b8-a331-edce4b62e6db","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0123H1eTWzNNpBMA74z6QPVW","type":"message","role":"assistant","content":[{"type":"text","text":"Now `jobsDurationStatisticsHistogram`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":582,"cache_read_input_tokens":94037,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":582},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2VeWAVYBciEK187Tuc","type":"assistant","uuid":"855338c9-3527-48f8-8073-b0ef4603dab5","timestamp":"2026-03-10T20:25:20.073Z"} +{"parentUuid":"855338c9-3527-48f8-8073-b0ef4603dab5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0123H1eTWzNNpBMA74z6QPVW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G7JKM3mUgE689dy8QrJLY7","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\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() {","new_string":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":582,"cache_read_input_tokens":94037,"output_tokens":335,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":582,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2VeWAVYBciEK187Tuc","type":"assistant","uuid":"e2f77164-d109-4ba7-99b5-2404c8ef4857","timestamp":"2026-03-10T20:25:23.072Z"} +{"parentUuid":"e2f77164-d109-4ba7-99b5-2404c8ef4857","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01G7JKM3mUgE689dy8QrJLY7","toolUseID":"toolu_01G7JKM3mUgE689dy8QrJLY7","timestamp":"2026-03-10T20:25:23.098Z","uuid":"264a182f-1b71-4bb2-bcf9-775d2c8db405"} +{"parentUuid":"e2f77164-d109-4ba7-99b5-2404c8ef4857","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G7JKM3mUgE689dy8QrJLY7","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"fcb83190-0c34-460a-bc3f-293b50be8a7d","timestamp":"2026-03-10T20:25:23.098Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\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() {","newString":"\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\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":834,"oldLines":6,"newStart":834,"newLines":7,"lines":[" cclog.Error(\"Error while running query\")"," return nil, err"," }","+ defer rows.Close()"," "," // Match query results to pre-initialized bins."," // point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e2f77164-d109-4ba7-99b5-2404c8ef4857"} +{"parentUuid":"fcb83190-0c34-460a-bc3f-293b50be8a7d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017c2EXWCTbSpDxUmTHaMqUi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0179EpKuSKRyU4HNMFbtJRpp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram","new_string":"\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":94619,"output_tokens":251,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2W83d5zD3zLuXKMV25","type":"assistant","uuid":"471c3915-de7a-44b5-a7fc-ab84e3e1409b","timestamp":"2026-03-10T20:25:27.553Z"} +{"parentUuid":"471c3915-de7a-44b5-a7fc-ab84e3e1409b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_0179EpKuSKRyU4HNMFbtJRpp","toolUseID":"toolu_0179EpKuSKRyU4HNMFbtJRpp","timestamp":"2026-03-10T20:25:27.590Z","uuid":"00516f36-c064-439e-bf21-b1715a533455"} +{"parentUuid":"471c3915-de7a-44b5-a7fc-ab84e3e1409b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0179EpKuSKRyU4HNMFbtJRpp","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"17df5510-8c78-442e-adbd-0dfbf9e60fb5","timestamp":"2026-03-10T20:25:27.590Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram","newString":"\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\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":853,"oldLines":6,"newStart":853,"newLines":10,"lines":[" }"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," cclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))"," return points, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"471c3915-de7a-44b5-a7fc-ab84e3e1409b"} +{"parentUuid":"17df5510-8c78-442e-adbd-0dfbf9e60fb5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UYev5AAN2AuPgw6oZDfyBH","type":"message","role":"assistant","content":[{"type":"text","text":"Now `jobsMetricStatisticsHistogram`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":290,"cache_read_input_tokens":94993,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":290},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2WTEXdDZa575igfLii","type":"assistant","uuid":"041f5eaf-910b-42a6-8a7a-976b8bb65123","timestamp":"2026-03-10T20:25:31.033Z"} +{"parentUuid":"041f5eaf-910b-42a6-8a7a-976b8bb65123","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UYev5AAN2AuPgw6oZDfyBH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PV5atECocPiURckjM56QBJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\n\t// Pre-initialize bins","new_string":"\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":290,"cache_read_input_tokens":94993,"output_tokens":268,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":290,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2WTEXdDZa575igfLii","type":"assistant","uuid":"ee7f7cc5-3577-41bc-86e6-2aa6e1e1b6ef","timestamp":"2026-03-10T20:25:33.210Z"} +{"parentUuid":"ee7f7cc5-3577-41bc-86e6-2aa6e1e1b6ef","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01PV5atECocPiURckjM56QBJ","toolUseID":"toolu_01PV5atECocPiURckjM56QBJ","timestamp":"2026-03-10T20:25:33.246Z","uuid":"fa153407-16f0-46ce-9694-14e22cfb095a"} +{"parentUuid":"ee7f7cc5-3577-41bc-86e6-2aa6e1e1b6ef","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PV5atECocPiURckjM56QBJ","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"62151de1-659b-4afd-95f7-ecbbdd1a337e","timestamp":"2026-03-10T20:25:33.246Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\n\t// Pre-initialize bins","newString":"\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\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":964,"oldLines":6,"newStart":964,"newLines":7,"lines":[" cclog.Errorf(\"Error while running mainQuery: %s\", err)"," return nil, err"," }","+ defer rows.Close()"," "," // Pre-initialize bins with calculated min/max ranges."," // Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ee7f7cc5-3577-41bc-86e6-2aa6e1e1b6ef"} +{"parentUuid":"62151de1-659b-4afd-95f7-ecbbdd1a337e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01DxArRE1JNcVhPg7z5du9wu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014UgQSwSoLA753HgsWG7bnL","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","old_string":"\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}","new_string":"\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":307,"cache_read_input_tokens":95283,"output_tokens":287,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":307,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2WsSKEXNtdefCpSUBC","type":"assistant","uuid":"25b83c22-e286-44c1-bd42-c52121c47af1","timestamp":"2026-03-10T20:25:39.530Z"} +{"parentUuid":"25b83c22-e286-44c1-bd42-c52121c47af1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014UgQSwSoLA753HgsWG7bnL","toolUseID":"toolu_014UgQSwSoLA753HgsWG7bnL","timestamp":"2026-03-10T20:25:39.568Z","uuid":"c6a9c13b-b93f-47e3-944f-fe6f1721d3c4"} +{"parentUuid":"25b83c22-e286-44c1-bd42-c52121c47af1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014UgQSwSoLA753HgsWG7bnL","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"b4d253a9-8ece-4fc2-bd5c-82c5c423291a","timestamp":"2026-03-10T20:25:39.567Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","oldString":"\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}","newString":"\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\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":993,"oldLines":6,"newStart":993,"newLines":10,"lines":[" }"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," result := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}"," "," cclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"25b83c22-e286-44c1-bd42-c52121c47af1"} +{"parentUuid":"b4d253a9-8ece-4fc2-bd5c-82c5c423291a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WbU1Z31ZJyHkMYWgL6thqw","type":"message","role":"assistant","content":[{"type":"text","text":"Now check if `sql` import is still needed after `AddJobCount` rewrite (it still uses `sql.NullInt64` elsewhere, so yes). Let me verify the `AddJobCount` doesn't reference `sql` anymore in its own body — it still uses `sql.NullInt64`, so we're fine.\n\n### tags.go — 5 fixes"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":326,"cache_read_input_tokens":95590,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":326},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2XLdgXfZ33opnAfeeJ","type":"assistant","uuid":"4503449e-3872-49f7-b635-b4371c6ccf1d","timestamp":"2026-03-10T20:25:45.509Z"} +{"type":"file-history-snapshot","messageId":"d4ff0e29-903d-40a7-819a-a6b315b4b43f","snapshot":{"messageId":"d755e0bc-fc92-444f-9ffd-17746f2c89b8","trackedFileBackups":{"/Users/jan/.claude/plans/refactored-wishing-journal.md":{"backupFileName":null,"version":1,"backupTime":"2026-03-10T20:18:37.746Z"},"internal/repository/stats.go":{"backupFileName":"4426319480f78977@v1","version":1,"backupTime":"2026-03-10T20:24:34.301Z"},"internal/repository/tags.go":{"backupFileName":"1fc98b02f4e66336@v1","version":1,"backupTime":"2026-03-10T20:25:47.553Z"}},"timestamp":"2026-03-10T20:15:59.248Z"},"isSnapshotUpdate":true} +{"parentUuid":"4503449e-3872-49f7-b635-b4371c6ccf1d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WbU1Z31ZJyHkMYWgL6thqw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01STb5BP2GiyosGXZggdqxw8","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","old_string":"\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfor xrows.Next() {","new_string":"\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":326,"cache_read_input_tokens":95590,"output_tokens":335,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":326,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2XLdgXfZ33opnAfeeJ","type":"assistant","uuid":"d4ff0e29-903d-40a7-819a-a6b315b4b43f","timestamp":"2026-03-10T20:25:47.526Z"} +{"parentUuid":"d4ff0e29-903d-40a7-819a-a6b315b4b43f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01STb5BP2GiyosGXZggdqxw8","toolUseID":"toolu_01STb5BP2GiyosGXZggdqxw8","timestamp":"2026-03-10T20:25:47.557Z","uuid":"1adc58c1-ef8d-4625-b9e3-2b4994d4627a"} +{"parentUuid":"d4ff0e29-903d-40a7-819a-a6b315b4b43f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01STb5BP2GiyosGXZggdqxw8","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/tags.go has been updated successfully."}]},"uuid":"052e5963-ce1a-41c5-9a09-30654adeeaa5","timestamp":"2026-03-10T20:25:47.557Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","oldString":"\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfor xrows.Next() {","newString":"\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {","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 data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","structuredPatch":[{"oldStart":283,"oldLines":6,"newStart":283,"newLines":7,"lines":[" if err != nil {"," return nil, nil, err"," }","+ defer xrows.Close()"," "," for xrows.Next() {"," var t schema.Tag"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d4ff0e29-903d-40a7-819a-a6b315b4b43f"} +{"parentUuid":"052e5963-ce1a-41c5-9a09-30654adeeaa5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YMHYu85867a5Gu7ee93HEc","type":"message","role":"assistant","content":[{"type":"text","text":"Now add `xrows.Err()` after the xrows loop and `defer rows.Close()` for the second query in `CountTags`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":485,"cache_read_input_tokens":95916,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":485},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2Xvd5tUXUGoL6jW594","type":"assistant","uuid":"3a38b8a6-dd84-41db-849b-79453c2684ee","timestamp":"2026-03-10T20:25:52.034Z"} +{"parentUuid":"3a38b8a6-dd84-41db-849b-79453c2684ee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YMHYu85867a5Gu7ee93HEc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0116ftoZSpUZ97hBNrSoegZH","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","old_string":"\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\t// Query and Count Jobs with attached Tags","new_string":"\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":485,"cache_read_input_tokens":95916,"output_tokens":248,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":485,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2Xvd5tUXUGoL6jW594","type":"assistant","uuid":"a442069a-5992-43f5-82e2-522541d2973a","timestamp":"2026-03-10T20:25:53.713Z"} +{"parentUuid":"a442069a-5992-43f5-82e2-522541d2973a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_0116ftoZSpUZ97hBNrSoegZH","toolUseID":"toolu_0116ftoZSpUZ97hBNrSoegZH","timestamp":"2026-03-10T20:25:53.748Z","uuid":"69943434-df90-4907-a90e-a1f388a3ec06"} +{"parentUuid":"a442069a-5992-43f5-82e2-522541d2973a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0116ftoZSpUZ97hBNrSoegZH","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/tags.go has been updated successfully."}]},"uuid":"97edf32d-6f19-42bf-bcdd-2cfa28120685","timestamp":"2026-03-10T20:25:53.748Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","oldString":"\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\t// Query and Count Jobs with attached Tags","newString":"\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags","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 data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","structuredPatch":[{"oldStart":301,"oldLines":6,"newStart":301,"newLines":10,"lines":[" }"," }"," ","+ if err := xrows.Err(); err != nil {","+ return nil, nil, err","+ }","+"," // Query and Count Jobs with attached Tags"," q := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\")."," From(\"tag t\")."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a442069a-5992-43f5-82e2-522541d2973a"} +{"parentUuid":"97edf32d-6f19-42bf-bcdd-2cfa28120685","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01HKLtnj9gDcLCL6P1GQjFv6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U3E2uEd4Xzgfo11r4LF8Sy","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","old_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tcounts = make(map[string]int)","new_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":287,"cache_read_input_tokens":96401,"output_tokens":231,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":287,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2YP5oJTnmhVZQ8ewx4","type":"assistant","uuid":"c18b5c2e-f294-41b5-87d9-5d8544588f6b","timestamp":"2026-03-10T20:25:58.478Z"} +{"parentUuid":"c18b5c2e-f294-41b5-87d9-5d8544588f6b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01U3E2uEd4Xzgfo11r4LF8Sy","toolUseID":"toolu_01U3E2uEd4Xzgfo11r4LF8Sy","timestamp":"2026-03-10T20:25:58.506Z","uuid":"ae2fc7e2-6171-4ed9-974f-8a474abe75ac"} +{"parentUuid":"c18b5c2e-f294-41b5-87d9-5d8544588f6b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U3E2uEd4Xzgfo11r4LF8Sy","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/tags.go has been updated successfully."}]},"uuid":"5c0aaa2a-c6af-4e6d-82cc-e9f6ce948de1","timestamp":"2026-03-10T20:25:58.505Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","oldString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tcounts = make(map[string]int)","newString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)","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 data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","structuredPatch":[{"oldStart":339,"oldLines":6,"newStart":339,"newLines":7,"lines":[" if err != nil {"," return nil, nil, err"," }","+ defer rows.Close()"," "," counts = make(map[string]int)"," for rows.Next() {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c18b5c2e-f294-41b5-87d9-5d8544588f6b"} +{"parentUuid":"5c0aaa2a-c6af-4e6d-82cc-e9f6ce948de1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018qgeH41n4RVDfkmheQu6ua","type":"message","role":"assistant","content":[{"type":"text","text":"Now `GetTags`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":270,"cache_read_input_tokens":96688,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":270},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2YjSf4vYgxSSbaDnrR","type":"assistant","uuid":"4ace1bfe-5785-49c5-b635-bd71ebb38309","timestamp":"2026-03-10T20:26:01.343Z"} +{"parentUuid":"4ace1bfe-5785-49c5-b635-bd71ebb38309","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018qgeH41n4RVDfkmheQu6ua","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019WHtNTHXoZRkvun7YAYfUC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","old_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}","new_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":270,"cache_read_input_tokens":96688,"output_tokens":699,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":270,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2YjSf4vYgxSSbaDnrR","type":"assistant","uuid":"2e62213d-a1fb-45c9-93b0-d52118a2ce96","timestamp":"2026-03-10T20:26:08.081Z"} +{"parentUuid":"2e62213d-a1fb-45c9-93b0-d52118a2ce96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019WHtNTHXoZRkvun7YAYfUC","toolUseID":"toolu_019WHtNTHXoZRkvun7YAYfUC","timestamp":"2026-03-10T20:26:08.120Z","uuid":"5fbd43da-8345-4167-9f76-21818dd86df8"} +{"parentUuid":"2e62213d-a1fb-45c9-93b0-d52118a2ce96","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019WHtNTHXoZRkvun7YAYfUC","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/tags.go has been updated successfully."}]},"uuid":"f618ab5f-3535-4148-864f-aca6aee09e74","timestamp":"2026-03-10T20:26:08.120Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","oldString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}","newString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}","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 data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","structuredPatch":[{"oldStart":517,"oldLines":6,"newStart":517,"newLines":7,"lines":[" cclog.Errorf(\"Error get tags with %s: %v\", s, err)"," return nil, err"," }","+ defer rows.Close()"," "," tags := make([]*schema.Tag, 0)"," for rows.Next() {"]},{"oldStart":535,"oldLines":6,"newStart":536,"newLines":10,"lines":[" }"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," return tags, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2e62213d-a1fb-45c9-93b0-d52118a2ce96"} +{"parentUuid":"f618ab5f-3535-4148-864f-aca6aee09e74","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Mz6VN18WCqu95ftArJNuoA","type":"message","role":"assistant","content":[{"type":"text","text":"Now `GetTagsDirect`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":738,"cache_read_input_tokens":96958,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":738},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2ZSYwUp1p6BZwcpA27","type":"assistant","uuid":"c6d6da35-863c-4c04-a752-f0181ca2ec58","timestamp":"2026-03-10T20:26:11.410Z"} +{"parentUuid":"c6d6da35-863c-4c04-a752-f0181ca2ec58","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Mz6VN18WCqu95ftArJNuoA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TFkwejmknWkTHAAGXRRaK8","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","old_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags","new_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":738,"cache_read_input_tokens":96958,"output_tokens":564,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":738,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2ZSYwUp1p6BZwcpA27","type":"assistant","uuid":"3ff4d7c7-c48c-41ff-9590-8291614d7607","timestamp":"2026-03-10T20:26:15.278Z"} +{"parentUuid":"3ff4d7c7-c48c-41ff-9590-8291614d7607","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TFkwejmknWkTHAAGXRRaK8","toolUseID":"toolu_01TFkwejmknWkTHAAGXRRaK8","timestamp":"2026-03-10T20:26:15.314Z","uuid":"282f13c2-44c6-49fa-b05f-cfc2509619b8"} +{"parentUuid":"3ff4d7c7-c48c-41ff-9590-8291614d7607","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TFkwejmknWkTHAAGXRRaK8","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/tags.go has been updated successfully."}]},"uuid":"f9d70978-769d-449b-894a-5a3fef8ed3b4","timestamp":"2026-03-10T20:26:15.314Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","oldString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags","newString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags","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 data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","structuredPatch":[{"oldStart":555,"oldLines":6,"newStart":555,"newLines":7,"lines":[" cclog.Errorf(\"Error get tags with %s: %v\", s, err)"," return nil, err"," }","+ defer rows.Close()"," "," tags := make([]*schema.Tag, 0)"," for rows.Next() {"]},{"oldStart":566,"oldLines":6,"newStart":567,"newLines":10,"lines":[" tags = append(tags, tag)"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," return tags, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3ff4d7c7-c48c-41ff-9590-8291614d7607"} +{"parentUuid":"f9d70978-769d-449b-894a-5a3fef8ed3b4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WomsxjZnBzyKsjJE4xXQiS","type":"message","role":"assistant","content":[{"type":"text","text":"Now `getArchiveTags`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":603,"cache_read_input_tokens":97696,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":603},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2ZyHshTXArT73egcdp","type":"assistant","uuid":"6f9d0e61-2f2a-4d92-b1c4-3f47284ff6a6","timestamp":"2026-03-10T20:26:18.349Z"} +{"parentUuid":"6f9d0e61-2f2a-4d92-b1c4-3f47284ff6a6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WomsxjZnBzyKsjJE4xXQiS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ADxAMV2b1gAaWf1twUnVqB","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","old_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}","new_string":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":603,"cache_read_input_tokens":97696,"output_tokens":551,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":603,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2ZyHshTXArT73egcdp","type":"assistant","uuid":"71e9ef7f-55c2-4509-9f5f-72160a69dcb8","timestamp":"2026-03-10T20:26:21.827Z"} +{"parentUuid":"71e9ef7f-55c2-4509-9f5f-72160a69dcb8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01ADxAMV2b1gAaWf1twUnVqB","toolUseID":"toolu_01ADxAMV2b1gAaWf1twUnVqB","timestamp":"2026-03-10T20:26:21.841Z","uuid":"91a8032c-e4e9-4bda-a417-99bbd9530220"} +{"parentUuid":"71e9ef7f-55c2-4509-9f5f-72160a69dcb8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ADxAMV2b1gAaWf1twUnVqB","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/tags.go has been updated successfully."}]},"uuid":"0498d159-f7f8-4a56-895c-7e6c74efcc54","timestamp":"2026-03-10T20:26:21.841Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","oldString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}","newString":"\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}","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 data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","structuredPatch":[{"oldStart":598,"oldLines":6,"newStart":598,"newLines":7,"lines":[" cclog.Errorf(\"Error get tags with %s: %v\", s, err)"," return nil, err"," }","+ defer rows.Close()"," "," tags := make([]*schema.Tag, 0)"," for rows.Next() {"]},{"oldStart":609,"oldLines":6,"newStart":610,"newLines":10,"lines":[" tags = append(tags, tag)"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," return tags, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"71e9ef7f-55c2-4509-9f5f-72160a69dcb8"} +{"parentUuid":"0498d159-f7f8-4a56-895c-7e6c74efcc54","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01FxxwjLjZVtCLzPTmLLkWUC","type":"message","role":"assistant","content":[{"type":"text","text":"### node.go — 4 fixes + CountStates rewrite\n\n`QueryNodes` — add defer, remove manual close:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":590,"cache_read_input_tokens":98299,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":590},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2aTFPPVeAJy4UEyz7g","type":"assistant","uuid":"81e80b66-dea9-43f8-8a4d-a2ded1600fc1","timestamp":"2026-03-10T20:26:25.601Z"} +{"parentUuid":"81e80b66-dea9-43f8-8a4d-a2ded1600fc1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01FxxwjLjZVtCLzPTmLLkWUC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KkRynrDUan5TrdfeeRptmz","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}","new_string":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":590,"cache_read_input_tokens":98299,"output_tokens":605,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":590,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2aTFPPVeAJy4UEyz7g","type":"assistant","uuid":"e4edd32b-965d-46a0-bf84-97fec7cc961a","timestamp":"2026-03-10T20:26:30.544Z"} +{"type":"file-history-snapshot","messageId":"e4edd32b-965d-46a0-bf84-97fec7cc961a","snapshot":{"messageId":"d755e0bc-fc92-444f-9ffd-17746f2c89b8","trackedFileBackups":{"/Users/jan/.claude/plans/refactored-wishing-journal.md":{"backupFileName":null,"version":1,"backupTime":"2026-03-10T20:18:37.746Z"},"internal/repository/stats.go":{"backupFileName":"4426319480f78977@v1","version":1,"backupTime":"2026-03-10T20:24:34.301Z"},"internal/repository/tags.go":{"backupFileName":"1fc98b02f4e66336@v1","version":1,"backupTime":"2026-03-10T20:25:47.553Z"},"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v1","version":1,"backupTime":"2026-03-10T20:26:30.568Z"}},"timestamp":"2026-03-10T20:15:59.248Z"},"isSnapshotUpdate":true} +{"parentUuid":"e4edd32b-965d-46a0-bf84-97fec7cc961a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KkRynrDUan5TrdfeeRptmz","toolUseID":"toolu_01KkRynrDUan5TrdfeeRptmz","timestamp":"2026-03-10T20:26:30.570Z","uuid":"9da605f6-d090-474b-ba09-90d02c5bec43"} +{"parentUuid":"e4edd32b-965d-46a0-bf84-97fec7cc961a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KkRynrDUan5TrdfeeRptmz","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"0daf9ccc-a1a3-4af8-a543-11dbb6a3a08c","timestamp":"2026-03-10T20:26:30.570Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}","newString":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":366,"oldLines":19,"newStart":366,"newLines":23,"lines":[" cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)"," return nil, err"," }","+ defer rows.Close()"," "," nodes := make([]*schema.Node, 0)"," for rows.Next() {"," node := schema.Node{}"," if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,"," &node.NodeState, &node.HealthState); err != nil {","- rows.Close()"," cclog.Warn(\"Error while scanning rows (QueryNodes)\")"," return nil, err"," }"," nodes = append(nodes, &node)"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," return nodes, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e4edd32b-965d-46a0-bf84-97fec7cc961a"} +{"parentUuid":"0daf9ccc-a1a3-4af8-a543-11dbb6a3a08c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Cg6cSkojPpGDUGFH4ojGAW","type":"message","role":"assistant","content":[{"type":"text","text":"`QueryNodesWithMeta`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":755,"cache_read_input_tokens":98889,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":755},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2b6Vk9tJCF4XHpGi6A","type":"assistant","uuid":"54b46c7d-da53-4f1f-b53e-f4d4708e9b5b","timestamp":"2026-03-10T20:26:33.496Z"} +{"parentUuid":"54b46c7d-da53-4f1f-b53e-f4d4708e9b5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Cg6cSkojPpGDUGFH4ojGAW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LnuY52xjiiu8dnyvJUSWom","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}","new_string":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":755,"cache_read_input_tokens":98889,"output_tokens":610,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":755,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2b6Vk9tJCF4XHpGi6A","type":"assistant","uuid":"7abd88fe-b290-4766-9286-d4f5b12b19f6","timestamp":"2026-03-10T20:26:38.181Z"} +{"parentUuid":"7abd88fe-b290-4766-9286-d4f5b12b19f6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01LnuY52xjiiu8dnyvJUSWom","toolUseID":"toolu_01LnuY52xjiiu8dnyvJUSWom","timestamp":"2026-03-10T20:26:38.195Z","uuid":"d5bd1698-e262-4300-8d6a-1f1faf3ba0c9"} +{"parentUuid":"7abd88fe-b290-4766-9286-d4f5b12b19f6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LnuY52xjiiu8dnyvJUSWom","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"97f79282-3aa5-4b54-bbf4-1ec80596dc2c","timestamp":"2026-03-10T20:26:38.194Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}","newString":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":419,"oldLines":6,"newStart":419,"newLines":7,"lines":[" cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)"," return nil, err"," }","+ defer rows.Close()"," "," nodes := make([]*schema.Node, 0)"," for rows.Next() {"]},{"oldStart":428,"oldLines":7,"newStart":429,"newLines":6,"lines":[" "," if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,"," &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {","- rows.Close()"," cclog.Warn(\"Error while scanning rows (QueryNodes)\")"," return nil, err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7abd88fe-b290-4766-9286-d4f5b12b19f6"} +{"parentUuid":"97f79282-3aa5-4b54-bbf4-1ec80596dc2c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01CdDofxXXvHxRBpSxgR3E8V","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T8Gf3gw2uxiMpfDCuurURF","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes","new_string":"\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":649,"cache_read_input_tokens":99644,"output_tokens":201,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":649,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2bf9GysRsuBgSmHrUX","type":"assistant","uuid":"93da50e8-dcd6-4caa-87f2-946e08f5e7fd","timestamp":"2026-03-10T20:26:43.690Z"} +{"parentUuid":"93da50e8-dcd6-4caa-87f2-946e08f5e7fd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01T8Gf3gw2uxiMpfDCuurURF","toolUseID":"toolu_01T8Gf3gw2uxiMpfDCuurURF","timestamp":"2026-03-10T20:26:43.718Z","uuid":"ca6314da-27bf-4186-89d2-8e5c7b658679"} +{"parentUuid":"93da50e8-dcd6-4caa-87f2-946e08f5e7fd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T8Gf3gw2uxiMpfDCuurURF","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"323ee2b5-2b1b-4fac-b8fc-917d827c9df5","timestamp":"2026-03-10T20:26:43.717Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes","newString":"\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":458,"oldLines":6,"newStart":458,"newLines":10,"lines":[" nodes = append(nodes, &node)"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," return nodes, nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"93da50e8-dcd6-4caa-87f2-946e08f5e7fd"} +{"parentUuid":"323ee2b5-2b1b-4fac-b8fc-917d827c9df5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015NpBrzKTai6rmQDf34Nxez","type":"message","role":"assistant","content":[{"type":"text","text":"Now rewrite `CountStates` to use SQL aggregation:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":240,"cache_read_input_tokens":100293,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":240},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2c4iNH79phYDbwCBWU","type":"assistant","uuid":"bf2fe755-4a7d-4d6d-9f9e-388492de7874","timestamp":"2026-03-10T20:26:47.590Z"} +{"parentUuid":"bf2fe755-4a7d-4d6d-9f9e-388492de7874","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_015NpBrzKTai6rmQDf34Nxez","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ZZK649fnXQ72cAvMP8zfH","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}","new_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":240,"cache_read_input_tokens":100293,"output_tokens":879,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":240,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2c4iNH79phYDbwCBWU","type":"assistant","uuid":"4391042f-01f6-4828-8311-562c5e8b55b7","timestamp":"2026-03-10T20:26:55.801Z"} +{"parentUuid":"4391042f-01f6-4828-8311-562c5e8b55b7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_015ZZK649fnXQ72cAvMP8zfH","toolUseID":"toolu_015ZZK649fnXQ72cAvMP8zfH","timestamp":"2026-03-10T20:26:55.811Z","uuid":"6681dcdc-649d-45eb-a0ce-d156caa163d6"} +{"parentUuid":"4391042f-01f6-4828-8311-562c5e8b55b7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ZZK649fnXQ72cAvMP8zfH","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"efc27258-253f-44b5-bab0-be44bf96aa43","timestamp":"2026-03-10T20:26:55.811Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}","newString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor state, counts := range stateMap {\n\t\tnode := model.NodeStates{State: state, Count: counts}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":553,"oldLines":10,"newStart":553,"newLines":11,"lines":[" "," func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {"," query, qerr := AccessCheck(ctx,","- sq.Select(column).","+ sq.Select(column, \"COUNT(*) as count\")."," From(\"node\")."," Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","+ Where(latestStateCondition()).","+ GroupBy(column))"," if qerr != nil {"," return nil, qerr"," }"]},{"oldStart":569,"oldLines":23,"newStart":570,"newLines":21,"lines":[" cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)"," return nil, err"," }","+ defer rows.Close()"," ","- stateMap := map[string]int{}","+ nodes := make([]*model.NodeStates, 0)"," for rows.Next() {"," var state string","- if err := rows.Scan(&state); err != nil {","- rows.Close()","+ var count int","+ if err := rows.Scan(&state, &count); err != nil {"," cclog.Warn(\"Error while scanning rows (CountStates)\")"," return nil, err"," }","-","- stateMap[state] += 1","+ nodes = append(nodes, &model.NodeStates{State: state, Count: count})"," }"," ","- nodes := make([]*model.NodeStates, 0)","- for state, counts := range stateMap {","- node := model.NodeStates{State: state, Count: counts}","- nodes = append(nodes, &node)","+ if err := rows.Err(); err != nil {","+ return nil, err"," }"," "," return nodes, nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4391042f-01f6-4828-8311-562c5e8b55b7"} +{"parentUuid":"efc27258-253f-44b5-bab0-be44bf96aa43","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01TNwhSPa1yHggHtoVzG3cvq","type":"message","role":"assistant","content":[{"type":"text","text":"Now `CountStatesTimed`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":918,"cache_read_input_tokens":100533,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":918},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2cxky1tfhoHEN69p58","type":"assistant","uuid":"81f25b5f-cde8-4057-b505-aeace172384e","timestamp":"2026-03-10T20:26:58.695Z"} +{"parentUuid":"81f25b5f-cde8-4057-b505-aeace172384e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01TNwhSPa1yHggHtoVzG3cvq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W2sbpCZpvMk9M8iFUQR4YE","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":586,"limit":70},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":918,"cache_read_input_tokens":100533,"output_tokens":115,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":918,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2cxky1tfhoHEN69p58","type":"assistant","uuid":"5f5cd5c9-2911-44b1-a2c2-e970e7876d0a","timestamp":"2026-03-10T20:26:59.414Z"} +{"parentUuid":"5f5cd5c9-2911-44b1-a2c2-e970e7876d0a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01W2sbpCZpvMk9M8iFUQR4YE","toolUseID":"toolu_01W2sbpCZpvMk9M8iFUQR4YE","timestamp":"2026-03-10T20:26:59.440Z","uuid":"ae788fd5-7576-4f8e-b69f-13dce999e4c8"} +{"parentUuid":"5f5cd5c9-2911-44b1-a2c2-e970e7876d0a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W2sbpCZpvMk9M8iFUQR4YE","type":"tool_result","content":" 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\n 634→\trawData := make(map[string][][]int)\n 635→\tfor rows.Next() {\n 636→\t\tvar state string\n 637→\t\tvar timestamp, count int\n 638→\n 639→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 640→\t\t\trows.Close()\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 654→\tfor state, data := range rawData {\n 655→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}"}]},"uuid":"edd1c1e9-84b8-4618-a1e8-016c9f888559","timestamp":"2026-03-10T20:26:59.440Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}","numLines":70,"startLine":586,"totalLines":857}},"sourceToolAssistantUUID":"5f5cd5c9-2911-44b1-a2c2-e970e7876d0a"} +{"parentUuid":"edd1c1e9-84b8-4618-a1e8-016c9f888559","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Q6dWHibaDkifC6xZ1JCwog","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Les9WhaJ4ypBywRwZ8WxKj","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)","new_string":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1083,"cache_read_input_tokens":101451,"output_tokens":728,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1083,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2dDw2QT7baKMGAcRFe","type":"assistant","uuid":"4871ab5a-d34f-4971-a19f-f6f5843ff523","timestamp":"2026-03-10T20:27:07.634Z"} +{"parentUuid":"4871ab5a-d34f-4971-a19f-f6f5843ff523","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Les9WhaJ4ypBywRwZ8WxKj","toolUseID":"toolu_01Les9WhaJ4ypBywRwZ8WxKj","timestamp":"2026-03-10T20:27:07.660Z","uuid":"fcb2e4cf-7dfc-4d9d-9635-fba4ed78101d"} +{"parentUuid":"4871ab5a-d34f-4971-a19f-f6f5843ff523","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Les9WhaJ4ypBywRwZ8WxKj","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"77425d6f-0206-4262-8381-381d53428b50","timestamp":"2026-03-10T20:27:07.660Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)","newString":"\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":630,"oldLines":6,"newStart":630,"newLines":7,"lines":[" cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)"," return nil, err"," }","+ defer rows.Close()"," "," rawData := make(map[string][][]int)"," for rows.Next() {"]},{"oldStart":637,"oldLines":7,"newStart":638,"newLines":6,"lines":[" var timestamp, count int"," "," if err := rows.Scan(&state, ×tamp, &count); err != nil {","- rows.Close()"," cclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)"," return nil, err"," }"]},{"oldStart":650,"oldLines":6,"newStart":650,"newLines":10,"lines":[" rawData[state][1] = append(rawData[state][1], count)"," }"," ","+ if err := rows.Err(); err != nil {","+ return nil, err","+ }","+"," timedStates := make([]*model.NodeStatesTimed, 0)"," for state, data := range rawData {"," entry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4871ab5a-d34f-4971-a19f-f6f5843ff523"} +{"parentUuid":"77425d6f-0206-4262-8381-381d53428b50","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UcXTHuSURxQtZBvJ4NrTjN","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me build and test:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":767,"cache_read_input_tokens":102534,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":767},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2dq5dLNb2UJeYHR6MP","type":"assistant","uuid":"911784bf-d09a-47fa-aff3-a08fb437974c","timestamp":"2026-03-10T20:27:10.461Z"} +{"parentUuid":"911784bf-d09a-47fa-aff3-a08fb437974c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UcXTHuSURxQtZBvJ4NrTjN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XnEXC7javTsaHMmE9kscYs","name":"Bash","input":{"command":"go build ./...","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":767,"cache_read_input_tokens":102534,"output_tokens":114,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":767,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2dq5dLNb2UJeYHR6MP","type":"assistant","uuid":"06e95340-9f85-46b8-8bfc-57b48e35d8f2","timestamp":"2026-03-10T20:27:11.179Z"} +{"parentUuid":"06e95340-9f85-46b8-8bfc-57b48e35d8f2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XnEXC7javTsaHMmE9kscYs","type":"tool_result","content":"","is_error":false}]},"uuid":"43985518-7f30-4363-81b2-f42bb289822b","timestamp":"2026-03-10T20:27:20.136Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"06e95340-9f85-46b8-8bfc-57b48e35d8f2"} +{"parentUuid":"43985518-7f30-4363-81b2-f42bb289822b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Du1GVGcDKhZxTZCM2FuKGY","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeded. Now run tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":219,"cache_read_input_tokens":103301,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":219},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2ekSrBc5spNw5E1TNB","type":"assistant","uuid":"9a0df4dd-ad58-42e8-84a5-6214458c6cf2","timestamp":"2026-03-10T20:27:22.952Z"} +{"parentUuid":"9a0df4dd-ad58-42e8-84a5-6214458c6cf2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Du1GVGcDKhZxTZCM2FuKGY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RAibwkJmWVETu1HnWSXm7N","name":"Bash","input":{"command":"go test ./internal/repository/... 2>&1","description":"Run repository tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":219,"cache_read_input_tokens":103301,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":219},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2ekSrBc5spNw5E1TNB","type":"assistant","uuid":"8bd90ed2-fc15-4f1b-b76f-b81693e64db7","timestamp":"2026-03-10T20:27:23.848Z"} +{"parentUuid":"8bd90ed2-fc15-4f1b-b76f-b81693e64db7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Du1GVGcDKhZxTZCM2FuKGY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TR3eSme96DAiTjYiFheA1c","name":"Bash","input":{"command":"go vet ./internal/repository/... 2>&1","description":"Run go vet on repository","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":219,"cache_read_input_tokens":103301,"output_tokens":225,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":219,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2ekSrBc5spNw5E1TNB","type":"assistant","uuid":"dd675955-49fe-4198-ae74-46fda68c0c33","timestamp":"2026-03-10T20:27:25.640Z"} +{"parentUuid":"8bd90ed2-fc15-4f1b-b76f-b81693e64db7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RAibwkJmWVETu1HnWSXm7N","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.742s","is_error":false}]},"uuid":"b2d9aeb2-65dd-4d6e-be5d-1ecbd20312e4","timestamp":"2026-03-10T20:27:27.623Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.742s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"8bd90ed2-fc15-4f1b-b76f-b81693e64db7"} +{"parentUuid":"dd675955-49fe-4198-ae74-46fda68c0c33","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TR3eSme96DAiTjYiFheA1c","type":"tool_result","content":"","is_error":false}]},"uuid":"c249cdf4-4382-4f0d-806d-93ce82e5099d","timestamp":"2026-03-10T20:27:30.061Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"dd675955-49fe-4198-ae74-46fda68c0c33"} +{"parentUuid":"c249cdf4-4382-4f0d-806d-93ce82e5099d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013qv3vVEdpo6baGbbSz9twu","type":"message","role":"assistant","content":[{"type":"text","text":"All passing. Let me do a final verification that no `.Query()` calls remain without `defer rows.Close()`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":287,"cache_read_input_tokens":103520,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2fUrWmNyhXroR6LNpd","type":"assistant","uuid":"aab71111-97fd-4de3-97c3-bdacf961f80c","timestamp":"2026-03-10T20:27:35.879Z"} +{"parentUuid":"aab71111-97fd-4de3-97c3-bdacf961f80c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013qv3vVEdpo6baGbbSz9twu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0163zLY9Qh8XKJk5ydxm8anV","name":"Bash","input":{"command":"grep -n '\\.Query()' internal/repository/*.go | grep -v '_test.go' | grep -v '//' | while read line; do file=$(echo \"$line\" | cut -d: -f1); lineno=$(echo \"$line\" | cut -d: -f2); next_lines=$(sed -n \"$((lineno+1)),$((lineno+10))p\" \"$file\"); if echo \"$next_lines\" | grep -q 'defer.*Close\\|rows.Close\\|\\.Close()'; then echo \"OK: $line\"; else echo \"MISSING: $line\"; fi; done","description":"Verify all Query() calls have rows.Close()"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":287,"cache_read_input_tokens":103520,"output_tokens":257,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":287,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2fUrWmNyhXroR6LNpd","type":"assistant","uuid":"8a40119e-db1f-4cb0-afde-afebc95e47f0","timestamp":"2026-03-10T20:27:41.730Z"} +{"parentUuid":"8a40119e-db1f-4cb0-afde-afebc95e47f0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0163zLY9Qh8XKJk5ydxm8anV","type":"tool_result","content":"OK: internal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\nOK: internal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:287:\t\tRunWith(r.DB).Query()\nOK: internal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:416:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:504:\trows, err := q.RunWith(r.DB).Query()\nOK: internal/repository/node.go:533:\trows, err := q.RunWith(r.DB).Query()\nOK: internal/repository/node.go:567:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:627:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\nOK: internal/repository/stats.go:443:\trows, err := query.RunWith(r.DB).Query()\nOK: internal/repository/stats.go:504:\trows, err := query.RunWith(r.DB).Query()\nOK: internal/repository/stats.go:758:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nOK: internal/repository/stats.go:832:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nOK: internal/repository/stats.go:962:\trows, err := mainQuery.RunWith(r.DB).Query()\nOK: internal/repository/tags.go:338:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/tags.go:514:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/tags.go:552:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/tags.go:595:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()","is_error":false}]},"uuid":"17bcf683-cda2-4988-bff0-c4f7378aa137","timestamp":"2026-03-10T20:27:52.701Z","toolUseResult":{"stdout":"OK: internal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\nOK: internal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\nOK: internal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:287:\t\tRunWith(r.DB).Query()\nOK: internal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:416:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:504:\trows, err := q.RunWith(r.DB).Query()\nOK: internal/repository/node.go:533:\trows, err := q.RunWith(r.DB).Query()\nOK: internal/repository/node.go:567:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/node.go:627:\trows, err := query.RunWith(r.stmtCache).Query()\nOK: internal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\nOK: internal/repository/stats.go:443:\trows, err := query.RunWith(r.DB).Query()\nOK: internal/repository/stats.go:504:\trows, err := query.RunWith(r.DB).Query()\nOK: internal/repository/stats.go:758:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nOK: internal/repository/stats.go:832:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\nOK: internal/repository/stats.go:962:\trows, err := mainQuery.RunWith(r.DB).Query()\nOK: internal/repository/tags.go:338:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/tags.go:514:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/tags.go:552:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/tags.go:595:\trows, err := q.RunWith(r.stmtCache).Query()\nOK: internal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"8a40119e-db1f-4cb0-afde-afebc95e47f0"} +{"parentUuid":"17bcf683-cda2-4988-bff0-c4f7378aa137","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PKw66F4J5wzuJbjcGFTmFm","type":"message","role":"assistant","content":[{"type":"text","text":"All 31 `.Query()` calls now have proper `rows.Close()`. Build passes, tests pass, vet clean.\n\n### Summary of changes\n\n**`internal/repository/stats.go`** (7 fixes + 1 rewrite):\n- Added `defer rows.Close()` + `rows.Err()` to `JobsStatsGrouped`, `JobCountGrouped`, `AddJobCountGrouped`, `jobsStatisticsHistogram`, `jobsDurationStatisticsHistogram`, `jobsMetricStatisticsHistogram`\n- Rewrote `AddJobCount` to use `QueryRow()` instead of `Query()` (single-row result)\n\n**`internal/repository/tags.go`** (5 fixes):\n- Added `defer xrows.Close()` + `xrows.Err()` for `Queryx` in `CountTags`\n- Added `defer rows.Close()` for second query in `CountTags`\n- Added `defer rows.Close()` + `rows.Err()` to `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**`internal/repository/node.go`** (4 fixes + 1 rewrite):\n- Added `defer rows.Close()` + `rows.Err()`, removed manual `rows.Close()` in `QueryNodes`, `QueryNodesWithMeta`, `CountStatesTimed`\n- Rewrote `CountStates` to use `COUNT(*) ... GROUP BY` in SQL instead of fetching every row and counting in Go"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1215,"cache_read_input_tokens":103807,"output_tokens":365,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1215,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2h9euk3kEzwC4aN7tY","type":"assistant","uuid":"9363ef29-f09d-48ae-ac4c-c041a7f10181","timestamp":"2026-03-10T20:28:03.644Z"} +{"parentUuid":"9363ef29-f09d-48ae-ac4c-c041a7f10181","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"28147033-ddc8-4056-b064-e0558fbc614e","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"265fe042-907e-417d-82a7-0cc32426863e","toolUseID":"265fe042-907e-417d-82a7-0cc32426863e","timestamp":"2026-03-10T20:28:03.676Z","uuid":"457ab2a9-558f-41c9-88b6-ea0e6709747a"} diff --git a/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/prompt.txt b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/prompt.txt new file mode 100644 index 00000000..e8ed651b --- /dev/null +++ b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/prompt.txt @@ -0,0 +1 @@ +There are memory leaks in production on queries that trigger a full scan. Review all queries for missing close and other bugs that could cause memory leaks in the sqlite-3 driver. Example for a query that triggers a massive allocation is a specific jobstate list with sorting on start_time on all jobs. \ No newline at end of file diff --git a/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/summary.txt b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/summary.txt new file mode 100644 index 00000000..b22e469c --- /dev/null +++ b/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/summary.txt @@ -0,0 +1,16 @@ +All 31 `.Query()` calls now have proper `rows.Close()`. Build passes, tests pass, vet clean. + +### Summary of changes + +**`internal/repository/stats.go`** (7 fixes + 1 rewrite): +- Added `defer rows.Close()` + `rows.Err()` to `JobsStatsGrouped`, `JobCountGrouped`, `AddJobCountGrouped`, `jobsStatisticsHistogram`, `jobsDurationStatisticsHistogram`, `jobsMetricStatisticsHistogram` +- Rewrote `AddJobCount` to use `QueryRow()` instead of `Query()` (single-row result) + +**`internal/repository/tags.go`** (5 fixes): +- Added `defer xrows.Close()` + `xrows.Err()` for `Queryx` in `CountTags` +- Added `defer rows.Close()` for second query in `CountTags` +- Added `defer rows.Close()` + `rows.Err()` to `GetTags`, `GetTagsDirect`, `getArchiveTags` + +**`internal/repository/node.go`** (4 fixes + 1 rewrite): +- Added `defer rows.Close()` + `rows.Err()`, removed manual `rows.Close()` in `QueryNodes`, `QueryNodesWithMeta`, `CountStatesTimed` +- Rewrote `CountStates` to use `COUNT(*) ... GROUP BY` in SQL instead of fetching every row and counting in Go \ No newline at end of file diff --git a/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/context.md b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/context.md new file mode 100644 index 00000000..72e1bf42 --- /dev/null +++ b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/context.md @@ -0,0 +1,40 @@ +# Session Context + +Session ID: 42401d2e-7d1c-4c0e-abe6-356cb2d48747 +Commit Message: There also have to be bugs in jobQuery.go . Especially the following que + +## Prompts + +### Prompt 1 + +There also have to be bugs in jobQuery.go . Especially the following query triggers the memory leak: SELECT * FROM job WHERE job.job_state IN ("completed", "running", "failed") ORDER BY job.start_time DESC LIMIT 1 OFFSET 10; Dig deeper to find the cause. Also investigate why no existing index is used for this query. + +## Summary + +All passes. Here's a summary of findings and fixes: + +--- + +## Findings + +### Bug 1: Missing `defer rows.Close()` in `user.go:GetLdapUsernames()` (line 100) +**Fixed.** Every call leaked a database connection and its buffers. + +### Bug 2: SQLite never runs `ANALYZE` — wrong index selection +**Fixed.** Added `ANALYZE` to `setupSqlite()` in `dbConnection.go`. + +Without statistics in `sqlite_stat1`, SQLite's query planner **guessed** and chose `jobs_jobstate_energy` (a terrible index for this query) instead of scanning `jobs_starttime` in reverse. The result: + +| | Before ANALYZE | After ANALYZE | +|---|---|---| +| Index used | `jobs_jobstate_energy` | `jobs_starttime` | +| Sort | **TEMP B-TREE** (materializes ALL rows) | None (index order) | +| Memory | Proportional to total matching rows | Constant | +| I/O | Full scan of all matching rows | Stops at OFFSET+LIMIT | + +### Bug 3: `IN` clause + `ORDER BY` is fundamentally incompatible with composite indexes + +Even with the "correct" index `(job_state, start_time)`, SQLite **cannot** merge-sort across 3 separate index range scans for `IN ('completed','running','failed')`. It always falls back to a temp B-tree sort. The only efficient plan is to use the standalone `jobs_starttime` index — which SQLite does automatically **after ANALYZE** because it realizes the 3 states cover virtually all rows, making the WHERE clause nearly a no-op. + +### Observation: 79 indexes on the `job` table +This is excessive and actively harmful — it confuses the query planner (especially without ANALYZE) and slows writes. The `jobs_jobstate_starttime` index from migration 08 is also missing from the actual DB (only the 3-column `jobs_jobstate_starttime_duration` exists). This is worth investigating separately but is a schema/migration concern, not a code bug. diff --git a/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/full.jsonl b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/full.jsonl new file mode 100644 index 00000000..de8ba740 --- /dev/null +++ b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/full.jsonl @@ -0,0 +1,275 @@ +{"type":"file-history-snapshot","messageId":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","snapshot":{"messageId":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","trackedFileBackups":{},"timestamp":"2026-03-10T20:28:04.723Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"322896ab-55ab-4924-945a-22fa88775d9d","toolUseID":"322896ab-55ab-4924-945a-22fa88775d9d","timestamp":"2026-03-10T20:28:04.680Z","uuid":"43f7de5d-4b54-4e46-80d0-1684a57b9b8c"} +{"parentUuid":"43f7de5d-4b54-4e46-80d0-1684a57b9b8c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/28147033-ddc8-4056-b064-e0558fbc614e.jsonl"},"uuid":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","timestamp":"2026-03-10T20:21:15.868Z","planContent":"# Fix Missing `rows.Close()` Memory Leaks in SQLite3 Queries\n\n## Context\n\nProduction memory leaks traced to queries that do full table scans (e.g., job state list sorted by `start_time` on all jobs). The root cause is `sql.Rows` objects not being closed after query execution. In Go's `database/sql`, every `rows` returned by `.Query()` holds a database connection and associated buffers until `rows.Close()` is called. Without `defer rows.Close()`, these leak on every code path (both success and error returns).\n\n## Findings\n\n**22 total `.Query()` calls** across the repository layer. **15 have `defer rows.Close()`**. **7 do not** (listed below). Additionally, 1 `Queryx` call in `tags.go` is also missing close.\n\nIn `node.go`, `QueryNodes` and `QueryNodesWithMeta` have partial `rows.Close()` only in error paths but **not on the success path** and not via `defer`.\n\n`CountStates` and `CountStatesTimed` in `node.go` also lack `defer rows.Close()` (same partial pattern as above for CountStates, none at all for CountStatesTimed).\n\n## Changes Required\n\n### 1. `internal/repository/stats.go` — 6 functions missing `defer rows.Close()`\n\nAdd `defer rows.Close()` immediately after the `if err != nil` check for each:\n\n| Line | Function |\n|------|----------|\n| 233 | `JobsStatsGrouped` |\n| 438 | `JobCountGrouped` |\n| 494 | `AddJobCountGrouped` |\n| 553 | `AddJobCount` |\n| 753 | `jobsStatisticsHistogram` |\n| 821 | `jobsDurationStatisticsHistogram` |\n| 946 | `jobsMetricStatisticsHistogram` |\n\nPattern — after each `Query()` error check, add:\n```go\nrows, err := query.RunWith(r.DB).Query()\nif err != nil {\n ...\n return nil, err\n}\ndefer rows.Close() // <-- ADD THIS\n```\n\n### 2. `internal/repository/tags.go` — 2 leaks in `CountTags()`\n\n**Line 282**: `xrows` from `r.DB.Queryx(...)` — add `defer xrows.Close()` after error check.\n\n**Line 333**: `rows` from `q.RunWith(r.stmtCache).Query()` — add `defer rows.Close()` after error check.\n\n### 3. `internal/repository/tags.go` — 3 leaks in `GetTags`, `GetTagsDirect`, `getArchiveTags`\n\n**Line 508** (`GetTags`): add `defer rows.Close()` after error check.\n**Line 541** (`GetTagsDirect`): add `defer rows.Close()` after error check.\n**Line 579** (`getArchiveTags`): add `defer rows.Close()` after error check.\n\n### 4. `internal/repository/node.go` — 4 functions missing `defer rows.Close()`\n\n**Line 363** (`QueryNodes`): Replace the manual `rows.Close()` in the error path with `defer rows.Close()` immediately after the error check. Remove the explicit `rows.Close()` call on line 375.\n\n**Line 412** (`QueryNodesWithMeta`): Same pattern — add `defer rows.Close()` after error check, remove explicit `rows.Close()` on line 427.\n\n**Line 558** (`CountStates`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 569.\n\n**Line 620** (`CountStatesTimed`): Add `defer rows.Close()` after error check. Remove explicit `rows.Close()` on line 633.\n\n## Summary of All Edits\n\n| File | Function | Action |\n|------|----------|--------|\n| `stats.go:237` | `JobsStatsGrouped` | Add `defer rows.Close()` |\n| `stats.go:442` | `JobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:498` | `AddJobCountGrouped` | Add `defer rows.Close()` |\n| `stats.go:557` | `AddJobCount` | Add `defer rows.Close()` |\n| `stats.go:757` | `jobsStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:825` | `jobsDurationStatisticsHistogram` | Add `defer rows.Close()` |\n| `stats.go:950` | `jobsMetricStatisticsHistogram` | Add `defer rows.Close()` |\n| `tags.go:284` | `CountTags` (xrows) | Add `defer xrows.Close()` |\n| `tags.go:336` | `CountTags` (rows) | Add `defer rows.Close()` |\n| `tags.go:513` | `GetTags` | Add `defer rows.Close()` |\n| `tags.go:546` | `GetTagsDirect` | Add `defer rows.Close()` |\n| `tags.go:584` | `getArchiveTags` | Add `defer rows.Close()` |\n| `node.go:368` | `QueryNodes` | Add `defer rows.Close()`, remove manual close on L375 |\n| `node.go:417` | `QueryNodesWithMeta` | Add `defer rows.Close()`, remove manual close on L427 |\n| `node.go:563` | `CountStates` | Add `defer rows.Close()`, remove manual close on L569 |\n| `node.go:625` | `CountStatesTimed` | Add `defer rows.Close()`, remove manual close on L633 |\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/repository/...` — run repository tests\n3. `go vet ./internal/repository/...` — static analysis\n"} +{"parentUuid":"0e1d0382-6d3d-4407-9cb3-8564b31ba808","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvcBCkYICxgCKkDNvjsEBG7m8AUSxLbse5/SPf1o2gvRGU5TE3/9lLGflcjfQQxP2dWyWNNScudLkC+sKOejAlWUE5ibngL1rL9gEgw083/g83JsqJHyYSMaDL3UCm4ubVIwGFWMAyIwohkztUd2boV05aaeLOJ68s9QnWLNOQlg2mv7882EIyD+IQnc4iP6BRAFkz6qNvx/Kl8CrJ/o1rOdPLFxnG2xl+hi5jic4m4dGeaCm/Y1oHpQxTIiLflMfNJLp2NqotxwbTRS44wqcvh9U/5cd30zRdn6wYGE8G2MOUXr1PaegMlZQUqZsxvgvK6cI2AkddTLphgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"f80cecdf-6eb2-4a81-9726-050878dade06","timestamp":"2026-03-10T20:28:08.592Z"} +{"parentUuid":"f80cecdf-6eb2-4a81-9726-050878dade06","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","timestamp":"2026-03-10T20:28:09.041Z"} +{"parentUuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","toolUseID":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","timestamp":"2026-03-10T20:28:09.325Z","uuid":"ffde6750-5d48-44aa-bbfe-2dfd7da8c791"} +{"parentUuid":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012gQHCSXaBgyTH4sDdZQ6kb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRow()\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).Query()\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).Query()\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→"}]},"uuid":"7f1a680f-7c43-449b-a944-a7138fd54adc","timestamp":"2026-03-10T20:28:09.324Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRow()\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1122,"startLine":1,"totalLines":1122}},"sourceToolAssistantUUID":"13fe4a9e-9013-4a4d-bf97-32d677f1ba17"} +{"parentUuid":"7f1a680f-7c43-449b-a944-a7138fd54adc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EqFC17XFwt2hHXyBKZCvKL","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8257},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","timestamp":"2026-03-10T20:28:09.915Z"} +{"parentUuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EqFC17XFwt2hHXyBKZCvKL","toolUseID":"toolu_01EqFC17XFwt2hHXyBKZCvKL","timestamp":"2026-03-10T20:28:09.922Z","uuid":"b234b495-0fc1-4d24-bc4a-d61e2449520e"} +{"parentUuid":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EqFC17XFwt2hHXyBKZCvKL","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"d876e7a0-04fd-4ff0-8dad-db5321219e9e","timestamp":"2026-03-10T20:28:09.921Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"fb3d88a4-40ee-4aba-a6e5-fd5fe2899d91"} +{"parentUuid":"d876e7a0-04fd-4ff0-8dad-db5321219e9e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UEi4WzC5gq7EL279MsdgQd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013F4FMbfADwTJeTCGBWHK1N","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8257,"cache_read_input_tokens":8781,"output_tokens":218,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8257,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2i38XutqaU5nkt1z7A","type":"assistant","uuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","timestamp":"2026-03-10T20:28:10.621Z"} +{"parentUuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013F4FMbfADwTJeTCGBWHK1N","toolUseID":"toolu_013F4FMbfADwTJeTCGBWHK1N","timestamp":"2026-03-10T20:28:10.895Z","uuid":"7231790f-aea1-4fae-a456-7e6c52e1fef0"} +{"parentUuid":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013F4FMbfADwTJeTCGBWHK1N","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"03596bc8-917d-48f6-9b02-1258c28f41d0","timestamp":"2026-03-10T20:28:10.894Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"f29e5bf0-e48f-4971-bcdb-815fcf57f62b"} +{"parentUuid":"03596bc8-917d-48f6-9b02-1258c28f41d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38798},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"b371d234-8353-467b-9d52-1a26f77eab8f","timestamp":"2026-03-10T20:28:19.583Z"} +{"parentUuid":"b371d234-8353-467b-9d52-1a26f77eab8f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"text","text":"All the `defer rows.Close()` calls are already present in the current state of all three files. Let me verify against what's actually changed via git diff."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38798},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"6cb1afa3-0cb5-4855-8f7d-083575c098d0","timestamp":"2026-03-10T20:28:20.419Z"} +{"parentUuid":"6cb1afa3-0cb5-4855-8f7d-083575c098d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01QqB3n51opK71ou2z6CbYkb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y4ParwJvXSKBqaKYknXc1k","name":"Bash","input":{"command":"git diff internal/repository/stats.go internal/repository/tags.go internal/repository/node.go","description":"Show staged/unstaged changes in the three files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":38798,"cache_read_input_tokens":17038,"output_tokens":531,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":38798,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2iVUoaENryytp5vntk","type":"assistant","uuid":"3e93d170-c093-4129-bf42-9165fef76780","timestamp":"2026-03-10T20:28:22.707Z"} +{"parentUuid":"3e93d170-c093-4129-bf42-9165fef76780","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y4ParwJvXSKBqaKYknXc1k","type":"tool_result","content":"diff --git a/internal/repository/node.go b/internal/repository/node.go\nindex 09415bef..116b9868 100644\n--- a/internal/repository/node.go\n+++ b/internal/repository/node.go\n@@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n \t\tnode := schema.Node{}\n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n@@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n@@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n \n func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n \tquery, qerr := AccessCheck(ctx,\n-\t\tsq.Select(column).\n+\t\tsq.Select(column, \"COUNT(*) as count\").\n \t\t\tFrom(\"node\").\n \t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n-\t\t\tWhere(latestStateCondition()))\n+\t\t\tWhere(latestStateCondition()).\n+\t\t\tGroupBy(column))\n \tif qerr != nil {\n \t\treturn nil, qerr\n \t}\n@@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n-\tstateMap := map[string]int{}\n+\tnodes := make([]*model.NodeStates, 0)\n \tfor rows.Next() {\n \t\tvar state string\n-\t\tif err := rows.Scan(&state); err != nil {\n-\t\t\trows.Close()\n+\t\tvar count int\n+\t\tif err := rows.Scan(&state, &count); err != nil {\n \t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n \t\t\treturn nil, err\n \t\t}\n-\n-\t\tstateMap[state] += 1\n+\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n \t}\n \n-\tnodes := make([]*model.NodeStates, 0)\n-\tfor state, counts := range stateMap {\n-\t\tnode := model.NodeStates{State: state, Count: counts}\n-\t\tnodes = append(nodes, &node)\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n \t}\n \n \treturn nodes, nil\n@@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \trawData := make(map[string][][]int)\n \tfor rows.Next() {\n@@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tvar timestamp, count int\n \n \t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n \t\t\treturn nil, err\n \t\t}\n@@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\trawData[state][1] = append(rawData[state][1], count)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \ttimedStates := make([]*model.NodeStatesTimed, 0)\n \tfor state, data := range rawData {\n \t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\ndiff --git a/internal/repository/stats.go b/internal/repository/stats.go\nindex 0ceb92f2..4a61f62d 100644\n--- a/internal/repository/stats.go\n+++ b/internal/repository/stats.go\n@@ -235,6 +235,7 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -320,6 +321,10 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -440,6 +445,7 @@ func (r *JobRepository) JobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -459,6 +465,10 @@ func (r *JobRepository) JobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -496,6 +506,7 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts := make(map[string]int)\n \n@@ -511,6 +522,10 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tswitch kind {\n \tcase \"running\":\n \t\tfor _, s := range stats {\n@@ -550,23 +565,13 @@ func (r *JobRepository) AddJobCount(\n \tif err != nil {\n \t\treturn nil, err\n \t}\n-\trows, err := query.RunWith(r.DB).Query()\n-\tif err != nil {\n-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n+\tvar cnt sql.NullInt64\n+\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n+\t\tcclog.Warn(\"Error while querying DB for job count\")\n \t\treturn nil, err\n \t}\n \n-\tvar count int\n-\n-\tfor rows.Next() {\n-\t\tvar cnt sql.NullInt64\n-\t\tif err := rows.Scan(&cnt); err != nil {\n-\t\t\tcclog.Warn(\"Error while scanning rows\")\n-\t\t\treturn nil, err\n-\t\t}\n-\n-\t\tcount = int(cnt.Int64)\n-\t}\n+\tcount := int(cnt.Int64)\n \n \tswitch kind {\n \tcase \"running\":\n@@ -755,6 +760,7 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tpoints := make([]*model.HistoPoint, 0)\n \t// is it possible to introduce zero values here? requires info about bincount\n@@ -767,6 +773,11 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \n \t\tpoints = append(points, &point)\n \t}\n+\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -823,6 +834,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Match query results to pre-initialized bins.\n \t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n@@ -841,6 +853,10 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -948,6 +964,7 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Pre-initialize bins with calculated min/max ranges.\n \t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n@@ -976,6 +993,10 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n \n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\ndiff --git a/internal/repository/tags.go b/internal/repository/tags.go\nindex 943dda66..39ccd90d 100644\n--- a/internal/repository/tags.go\n+++ b/internal/repository/tags.go\n@@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer xrows.Close()\n \n \tfor xrows.Next() {\n \t\tvar t schema.Tag\n@@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \t\t}\n \t}\n \n+\tif err := xrows.Err(); err != nil {\n+\t\treturn nil, nil, err\n+\t}\n+\n \t// Query and Count Jobs with attached Tags\n \tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n \t\tFrom(\"tag t\").\n@@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts = make(map[string]int)\n \tfor rows.Next() {\n@@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }","is_error":false}]},"uuid":"be38ae19-5706-47fe-a3ba-1693965df257","timestamp":"2026-03-10T20:28:22.761Z","toolUseResult":{"stdout":"diff --git a/internal/repository/node.go b/internal/repository/node.go\nindex 09415bef..116b9868 100644\n--- a/internal/repository/node.go\n+++ b/internal/repository/node.go\n@@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n \t\tnode := schema.Node{}\n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tnodes := make([]*schema.Node, 0)\n \tfor rows.Next() {\n@@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \n \t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n \t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n \t\t\treturn nil, err\n \t\t}\n@@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta(\n \t\tnodes = append(nodes, &node)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn nodes, nil\n }\n \n@@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n \n func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n \tquery, qerr := AccessCheck(ctx,\n-\t\tsq.Select(column).\n+\t\tsq.Select(column, \"COUNT(*) as count\").\n \t\t\tFrom(\"node\").\n \t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n-\t\t\tWhere(latestStateCondition()))\n+\t\t\tWhere(latestStateCondition()).\n+\t\t\tGroupBy(column))\n \tif qerr != nil {\n \t\treturn nil, qerr\n \t}\n@@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n-\tstateMap := map[string]int{}\n+\tnodes := make([]*model.NodeStates, 0)\n \tfor rows.Next() {\n \t\tvar state string\n-\t\tif err := rows.Scan(&state); err != nil {\n-\t\t\trows.Close()\n+\t\tvar count int\n+\t\tif err := rows.Scan(&state, &count); err != nil {\n \t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n \t\t\treturn nil, err\n \t\t}\n-\n-\t\tstateMap[state] += 1\n+\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n \t}\n \n-\tnodes := make([]*model.NodeStates, 0)\n-\tfor state, counts := range stateMap {\n-\t\tnode := model.NodeStates{State: state, Count: counts}\n-\t\tnodes = append(nodes, &node)\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n \t}\n \n \treturn nodes, nil\n@@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \trawData := make(map[string][][]int)\n \tfor rows.Next() {\n@@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\tvar timestamp, count int\n \n \t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n-\t\t\trows.Close()\n \t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n \t\t\treturn nil, err\n \t\t}\n@@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.\n \t\trawData[state][1] = append(rawData[state][1], count)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \ttimedStates := make([]*model.NodeStatesTimed, 0)\n \tfor state, data := range rawData {\n \t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\ndiff --git a/internal/repository/stats.go b/internal/repository/stats.go\nindex 0ceb92f2..4a61f62d 100644\n--- a/internal/repository/stats.go\n+++ b/internal/repository/stats.go\n@@ -235,6 +235,7 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -320,6 +321,10 @@ func (r *JobRepository) JobsStatsGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -440,6 +445,7 @@ func (r *JobRepository) JobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tstats := make([]*model.JobsStatistics, 0, 100)\n \n@@ -459,6 +465,10 @@ func (r *JobRepository) JobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n \treturn stats, nil\n }\n@@ -496,6 +506,7 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\tcclog.Warn(\"Error while querying DB for job statistics\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts := make(map[string]int)\n \n@@ -511,6 +522,10 @@ func (r *JobRepository) AddJobCountGrouped(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tswitch kind {\n \tcase \"running\":\n \t\tfor _, s := range stats {\n@@ -550,23 +565,13 @@ func (r *JobRepository) AddJobCount(\n \tif err != nil {\n \t\treturn nil, err\n \t}\n-\trows, err := query.RunWith(r.DB).Query()\n-\tif err != nil {\n-\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n+\tvar cnt sql.NullInt64\n+\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n+\t\tcclog.Warn(\"Error while querying DB for job count\")\n \t\treturn nil, err\n \t}\n \n-\tvar count int\n-\n-\tfor rows.Next() {\n-\t\tvar cnt sql.NullInt64\n-\t\tif err := rows.Scan(&cnt); err != nil {\n-\t\t\tcclog.Warn(\"Error while scanning rows\")\n-\t\t\treturn nil, err\n-\t\t}\n-\n-\t\tcount = int(cnt.Int64)\n-\t}\n+\tcount := int(cnt.Int64)\n \n \tswitch kind {\n \tcase \"running\":\n@@ -755,6 +760,7 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \tpoints := make([]*model.HistoPoint, 0)\n \t// is it possible to introduce zero values here? requires info about bincount\n@@ -767,6 +773,11 @@ func (r *JobRepository) jobsStatisticsHistogram(\n \n \t\tpoints = append(points, &point)\n \t}\n+\n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -823,6 +834,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\tcclog.Error(\"Error while running query\")\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Match query results to pre-initialized bins.\n \t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n@@ -841,6 +853,10 @@ func (r *JobRepository) jobsDurationStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n \treturn points, nil\n }\n@@ -948,6 +964,7 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \t// Pre-initialize bins with calculated min/max ranges.\n \t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n@@ -976,6 +993,10 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n \n \tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\ndiff --git a/internal/repository/tags.go b/internal/repository/tags.go\nindex 943dda66..39ccd90d 100644\n--- a/internal/repository/tags.go\n+++ b/internal/repository/tags.go\n@@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer xrows.Close()\n \n \tfor xrows.Next() {\n \t\tvar t schema.Tag\n@@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \t\t}\n \t}\n \n+\tif err := xrows.Err(); err != nil {\n+\t\treturn nil, nil, err\n+\t}\n+\n \t// Query and Count Jobs with attached Tags\n \tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n \t\tFrom(\"tag t\").\n@@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts\n \tif err != nil {\n \t\treturn nil, nil, err\n \t}\n+\tdefer rows.Close()\n \n \tcounts = make(map[string]int)\n \tfor rows.Next() {\n@@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e\n \t\t}\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }\n \n@@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n \t\treturn nil, err\n \t}\n+\tdefer rows.Close()\n \n \ttags := make([]*schema.Tag, 0)\n \tfor rows.Next() {\n@@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n \t\ttags = append(tags, tag)\n \t}\n \n+\tif err := rows.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n \treturn tags, nil\n }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3e93d170-c093-4129-bf42-9165fef76780"} +{"parentUuid":"be38ae19-5706-47fe-a3ba-1693965df257","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"text","text":"All the changes from the plan are already applied as unstaged modifications. The diff shows:\n\n1. **stats.go**: Added `defer rows.Close()` + `rows.Err()` checks in 6 functions, plus refactored `AddJobCount` to use `QueryRow` instead of `Query`\n2. **tags.go**: Added `defer xrows.Close()`/`defer rows.Close()` + `rows.Err()` checks in 5 locations\n3. **node.go**: Added `defer rows.Close()` + `rows.Err()` checks in 4 functions, removed manual `rows.Close()` calls, plus refactored `CountStates` to use SQL `COUNT(*)`\n\nLet me verify it builds and passes tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"f3c36123-40e0-4ce6-8de3-414a1cb0cacd","timestamp":"2026-03-10T20:28:28.388Z"} 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packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","timestamp":"2026-03-10T20:28:29.777Z"} +{"parentUuid":"051f30af-bc73-4cb9-92cc-4521634ddc3f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WGtL65RonNBhuv1WRsPhBV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LK6MKJD4okfkXVR4fPcjJb","name":"Bash","input":{"command":"go vet ./internal/repository/...","description":"Run go vet on repository package","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4683,"cache_read_input_tokens":55836,"output_tokens":380,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4683,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2jN9oAiAoxZ5vFo95f","type":"assistant","uuid":"5cfc7c66-6f0a-4c8b-8622-034825cc917a","timestamp":"2026-03-10T20:28:31.458Z"} 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\tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)","is_error":false}]},"uuid":"42e9224e-b8fe-41b4-94c6-d2fefe18f768","timestamp":"2026-03-10T20:28:38.092Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t(cached)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2cd3b216-a399-4422-a49d-02f563fe83f6"} +{"parentUuid":"42e9224e-b8fe-41b4-94c6-d2fefe18f768","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"dev","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UGJC6wHmHUxD7UjJUuPJf4","type":"message","role":"assistant","content":[{"type":"text","text":"All changes are already in place and verified:\n\n- **Build**: passes\n- **go vet**: passes \n- **Tests**: pass\n\nThe changes are currently unstaged. All 16 locations from the plan have been fixed — `defer rows.Close()` added after each `Query()` error check, manual `rows.Close()` calls in error paths removed, and `rows.Err()` checks added where missing. The `AddJobCount` function was also simplified from `Query` + loop to `QueryRow().Scan()` since it returns a single value."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":130,"cache_read_input_tokens":60942,"output_tokens":128,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":130,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYv2kVgWi9U9tERiJKavF","type":"assistant","uuid":"ce11169e-bad5-4256-a81e-fd699ff20ad2","timestamp":"2026-03-10T20:28:44.156Z"} 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nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\trows.Close()\n 377→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 378→\t\t\treturn nil, err\n 379→\t\t}\n 380→\t\tnodes = append(nodes, &node)\n 381→\t}\n 382→\n 383→\tif err := rows.Err(); err != nil {\n 384→\t\treturn nil, err\n 385→\t}\n 386→\n 387→\treturn nodes, nil\n 388→}\n 389→\n 390→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 391→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 392→func (r *NodeRepository) QueryNodesWithMeta(\n 393→\tctx context.Context,\n 394→\tfilters []*model.NodeFilter,\n 395→\tpage *model.PageRequest,\n 396→\torder *model.OrderByInput, // Currently unused!\n 397→) ([]*schema.Node, error) {\n 398→\tquery, qerr := AccessCheck(ctx,\n 399→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 400→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 401→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 402→\t\t\tFrom(\"node\").\n 403→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 404→\t\t\tWhere(latestStateCondition()))\n 405→\tif qerr != nil {\n 406→\t\treturn nil, qerr\n 407→\t}\n 408→\n 409→\tquery = applyNodeFilters(query, filters)\n 410→\tquery = query.OrderBy(\"node.hostname ASC\")\n 411→\n 412→\tif page != nil && page.ItemsPerPage != -1 {\n 413→\t\tlimit := uint64(page.ItemsPerPage)\n 414→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 415→\t}\n 416→\n 417→\trows, err := query.RunWith(r.stmtCache).Query()\n 418→\tif err != nil {\n 419→\t\tqueryString, queryVars, _ := query.ToSql()\n 420→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 421→\t\treturn nil, err\n 422→\t}\n 423→\tdefer rows.Close()\n 424→\n 425→\tnodes := make([]*schema.Node, 0)\n 426→\tfor rows.Next() {\n 427→\t\tnode := schema.Node{}\n 428→\t\tRawMetaData := make([]byte, 0)\n 429→\t\tRawMetricHealth := make([]byte, 0)\n 430→\n 431→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 432→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 433→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 434→\t\t\treturn nil, err\n 435→\t\t}\n 436→\n 437→\t\tif len(RawMetaData) == 0 {\n 438→\t\t\tnode.MetaData = nil\n 439→\t\t} else {\n 440→\t\t\tmetaData := make(map[string]string)\n 441→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 442→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 443→\t\t\t\treturn nil, err\n 444→\t\t\t}\n 445→\t\t\tnode.MetaData = metaData\n 446→\t\t}\n 447→\n 448→\t\tif len(RawMetricHealth) == 0 {\n 449→\t\t\tnode.HealthData = nil\n 450→\t\t} else {\n 451→\t\t\thealthData := make(map[string][]string)\n 452→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 453→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 454→\t\t\t\treturn nil, err\n 455→\t\t\t}\n 456→\t\t\tnode.HealthData = healthData\n 457→\t\t}\n 458→\n 459→\t\tnodes = append(nodes, &node)\n 460→\t}\n 461→\n 462→\tif err := rows.Err(); err != nil {\n 463→\t\treturn nil, err\n 464→\t}\n 465→\n 466→\treturn nodes, nil"}]},"uuid":"f8a55f0d-73e1-4280-85aa-ef343d190f3e","timestamp":"2026-03-11T04:07:25.123Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil","numLines":130,"startLine":337,"totalLines":948}},"sourceToolAssistantUUID":"cd7b8a15-367d-4491-a03d-eca92726b7e7"} +{"parentUuid":"f8a55f0d-73e1-4280-85aa-ef343d190f3e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_014Pu7kft3YENEfZaz2Yv1uA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U1HwP2ooazjAESYV6i3dkw","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":550,"limit":115},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":54915,"cache_read_input_tokens":6504,"output_tokens":247,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":54915,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdiz6phEzcK58ZtAMai","type":"assistant","uuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","timestamp":"2026-03-11T04:07:25.954Z"} +{"parentUuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U1HwP2ooazjAESYV6i3dkw","toolUseID":"toolu_01U1HwP2ooazjAESYV6i3dkw","timestamp":"2026-03-11T04:07:25.970Z","uuid":"9142770d-c16e-412f-b3fe-837e02b93008"} +{"parentUuid":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U1HwP2ooazjAESYV6i3dkw","type":"tool_result","content":" 550→\tquery, qerr := AccessCheck(ctx,\n 551→\t\tsq.Select(\"COUNT(*)\").\n 552→\t\t\tFrom(\"node\").\n 553→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 554→\t\t\tWhere(latestStateCondition()))\n 555→\tif qerr != nil {\n 556→\t\treturn 0, qerr\n 557→\t}\n 558→\n 559→\tquery = applyNodeFilters(query, filters)\n 560→\n 561→\tvar count int\n 562→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 563→\t\tqueryString, queryVars, _ := query.ToSql()\n 564→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 565→\t\treturn 0, err\n 566→\t}\n 567→\n 568→\treturn count, nil\n 569→}\n 570→\n 571→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 572→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 573→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 574→\t\tFrom(\"node\").\n 575→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 576→\t\tWhere(latestStateCondition()).\n 577→\t\tWhere(\"node.cluster = ?\", cluster).\n 578→\t\tOrderBy(\"node.hostname ASC\")\n 579→\n 580→\trows, err := q.RunWith(r.DB).Query()\n 581→\tif err != nil {\n 582→\t\tcclog.Warn(\"Error while querying node list\")\n 583→\t\treturn nil, err\n 584→\t}\n 585→\tnodeList := make([]*schema.Node, 0, 100)\n 586→\tdefer rows.Close()\n 587→\tfor rows.Next() {\n 588→\t\tnode := &schema.Node{}\n 589→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 590→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 591→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 592→\t\t\treturn nil, err\n 593→\t\t}\n 594→\n 595→\t\tnodeList = append(nodeList, node)\n 596→\t}\n 597→\n 598→\treturn nodeList, nil\n 599→}\n 600→\n 601→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 602→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 603→\t\tFrom(\"node\").\n 604→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 605→\t\tWhere(latestStateCondition()).\n 606→\t\tWhere(\"node.cluster = ?\", cluster).\n 607→\t\tOrderBy(\"node.hostname ASC\")\n 608→\n 609→\trows, err := q.RunWith(r.DB).Query()\n 610→\tif err != nil {\n 611→\t\tcclog.Warn(\"Error while querying node list\")\n 612→\t\treturn nil, err\n 613→\t}\n 614→\n 615→\tstateMap := make(map[string]string)\n 616→\tdefer rows.Close()\n 617→\tfor rows.Next() {\n 618→\t\tvar hostname, nodestate string\n 619→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 620→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 621→\t\t\treturn nil, err\n 622→\t\t}\n 623→\n 624→\t\tstateMap[hostname] = nodestate\n 625→\t}\n 626→\n 627→\treturn stateMap, nil\n 628→}\n 629→\n 630→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 631→\tquery, qerr := AccessCheck(ctx,\n 632→\t\tsq.Select(column).\n 633→\t\t\tFrom(\"node\").\n 634→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 635→\t\t\tWhere(latestStateCondition()))\n 636→\tif qerr != nil {\n 637→\t\treturn nil, qerr\n 638→\t}\n 639→\n 640→\tquery = applyNodeFilters(query, filters)\n 641→\n 642→\trows, err := query.RunWith(r.stmtCache).Query()\n 643→\tif err != nil {\n 644→\t\tqueryString, queryVars, _ := query.ToSql()\n 645→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 646→\t\treturn nil, err\n 647→\t}\n 648→\tdefer rows.Close()\n 649→\n 650→\tstateMap := map[string]int{}\n 651→\tfor rows.Next() {\n 652→\t\tvar state string\n 653→\t\tif err := rows.Scan(&state); err != nil {\n 654→\t\t\trows.Close()\n 655→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 656→\t\t\treturn nil, err\n 657→\t\t}\n 658→\n 659→\t\tstateMap[state] += 1\n 660→\t}\n 661→\n 662→\tnodes := make([]*model.NodeStates, 0)\n 663→\tfor rows.Next() {\n 664→\t\tvar state string"}]},"uuid":"58918622-708d-48e7-8b45-7b4048191b81","timestamp":"2026-03-11T04:07:25.969Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string","numLines":115,"startLine":550,"totalLines":948}},"sourceToolAssistantUUID":"0861c99c-16eb-4003-b4c3-f9fbba5d1c7a"} +{"parentUuid":"58918622-708d-48e7-8b45-7b4048191b81","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3546},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"27acc90e-b999-4265-b69e-5d2c68aa0743","timestamp":"2026-03-11T04:07:33.960Z"} +{"parentUuid":"27acc90e-b999-4265-b69e-5d2c68aa0743","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"text","text":"There's a problem. `CountStates` has a bad merge — it has both the old and new code mixed together. Let me see the full extent."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3546},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"d4b69b1a-7114-4a16-8f05-8da848273841","timestamp":"2026-03-11T04:07:35.264Z"} +{"parentUuid":"d4b69b1a-7114-4a16-8f05-8da848273841","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01WpthhuBGUkbRY71pUgKKas","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AUyqRVoNTf19XGyxjTFZpG","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":630,"limit":80},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3546,"cache_read_input_tokens":61419,"output_tokens":207,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3546,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdjhLnehBiqpwNzuVah","type":"assistant","uuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","timestamp":"2026-03-11T04:07:35.574Z"} +{"parentUuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01AUyqRVoNTf19XGyxjTFZpG","toolUseID":"toolu_01AUyqRVoNTf19XGyxjTFZpG","timestamp":"2026-03-11T04:07:35.602Z","uuid":"83b294cc-a76e-49a9-92e3-d56cb048f779"} +{"parentUuid":"ee2b4b7b-95a3-4430-a982-0522d80aef32","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AUyqRVoNTf19XGyxjTFZpG","type":"tool_result","content":" 630→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 631→\tquery, qerr := AccessCheck(ctx,\n 632→\t\tsq.Select(column).\n 633→\t\t\tFrom(\"node\").\n 634→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 635→\t\t\tWhere(latestStateCondition()))\n 636→\tif qerr != nil {\n 637→\t\treturn nil, qerr\n 638→\t}\n 639→\n 640→\tquery = applyNodeFilters(query, filters)\n 641→\n 642→\trows, err := query.RunWith(r.stmtCache).Query()\n 643→\tif err != nil {\n 644→\t\tqueryString, queryVars, _ := query.ToSql()\n 645→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 646→\t\treturn nil, err\n 647→\t}\n 648→\tdefer rows.Close()\n 649→\n 650→\tstateMap := map[string]int{}\n 651→\tfor rows.Next() {\n 652→\t\tvar state string\n 653→\t\tif err := rows.Scan(&state); err != nil {\n 654→\t\t\trows.Close()\n 655→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 656→\t\t\treturn nil, err\n 657→\t\t}\n 658→\n 659→\t\tstateMap[state] += 1\n 660→\t}\n 661→\n 662→\tnodes := make([]*model.NodeStates, 0)\n 663→\tfor rows.Next() {\n 664→\t\tvar state string\n 665→\t\tvar count int\n 666→\t\tif err := rows.Scan(&state, &count); err != nil {\n 667→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 668→\t\t\treturn nil, err\n 669→\t\t}\n 670→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 671→\t}\n 672→\n 673→\tif err := rows.Err(); err != nil {\n 674→\t\treturn nil, err\n 675→\t}\n 676→\n 677→\treturn nodes, nil\n 678→}\n 679→\n 680→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 681→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 682→\tif qerr != nil {\n 683→\t\treturn nil, qerr\n 684→\t}\n 685→\n 686→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 687→\n 688→\tfor _, f := range filters {\n 689→\t\t// Required\n 690→\t\tif f.TimeStart != nil {\n 691→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 692→\t\t}\n 693→\t\t// Optional\n 694→\t\tif f.Hostname != nil {\n 695→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 696→\t\t}\n 697→\t\tif f.Cluster != nil {\n 698→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 699→\t\t}\n 700→\t\tif f.SubCluster != nil {\n 701→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 702→\t\t}\n 703→\t\tif f.SchedulerState != nil {\n 704→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 705→\t\t}\n 706→\t\tif f.HealthState != nil {\n 707→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 708→\t\t}\n 709→\t}"}]},"uuid":"2f7d5766-5544-4038-8f24-7f612525ee5d","timestamp":"2026-03-11T04:07:35.602Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}","numLines":80,"startLine":630,"totalLines":948}},"sourceToolAssistantUUID":"ee2b4b7b-95a3-4430-a982-0522d80aef32"} +{"parentUuid":"2f7d5766-5544-4038-8f24-7f612525ee5d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01H5mPnnD9ESq81nKb9qFx5S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":709,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1255,"cache_read_input_tokens":64965,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1255,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdkQRLEaD44Ptm3Ehiz","type":"assistant","uuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","timestamp":"2026-03-11T04:07:40.999Z"} +{"parentUuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","toolUseID":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","timestamp":"2026-03-11T04:07:41.010Z","uuid":"b5990b7d-089b-47cf-a1e7-794a181599bd"} +{"parentUuid":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FBJAJ9t7t1imtsCuMQWp3g","type":"tool_result","content":" 709→\t}\n 710→\n 711→\t// Add Group and Order\n 712→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 713→\n 714→\trows, err := query.RunWith(r.stmtCache).Query()\n 715→\tif err != nil {\n 716→\t\tqueryString, queryVars, _ := query.ToSql()\n 717→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 718→\t\treturn nil, err\n 719→\t}\n 720→\tdefer rows.Close()\n 721→\n 722→\trawData := make(map[string][][]int)\n 723→\tfor rows.Next() {\n 724→\t\tvar state string\n 725→\t\tvar timestamp, count int\n 726→\n 727→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 728→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 729→\t\t\treturn nil, err\n 730→\t\t}\n 731→\n 732→\t\tif rawData[state] == nil {\n 733→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 734→\t\t}\n 735→\n 736→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 737→\t\trawData[state][1] = append(rawData[state][1], count)\n 738→\t}\n 739→\n 740→\tif err := rows.Err(); err != nil {\n 741→\t\treturn nil, err\n 742→\t}\n 743→\n 744→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 745→\tfor state, data := range rawData {\n 746→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 747→\t\ttimedStates = append(timedStates, &entry)\n 748→\t}\n 749→\n 750→\treturn timedStates, nil\n 751→}\n 752→\n 753→func (r *NodeRepository) GetNodesForList(\n 754→\tctx context.Context,\n 755→\tcluster string,\n 756→\tsubCluster string,\n 757→\tstateFilter string,\n 758→\tnodeFilter string,"}]},"uuid":"ee81181e-f80e-49ac-afe8-fb45c8404a73","timestamp":"2026-03-11T04:07:41.010Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,","numLines":50,"startLine":709,"totalLines":948}},"sourceToolAssistantUUID":"2c6096cf-b523-47d1-99ce-7e4f20bb0bae"} +{"parentUuid":"ee81181e-f80e-49ac-afe8-fb45c8404a73","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017cdTQnvToA5UD9mDsvQHRH","type":"message","role":"assistant","content":[{"type":"text","text":"Found the issues in `CountStates` (lines 630-678):\n\n1. **Duplicate code**: Old manual counting loop (lines 650-660) followed by new SQL-based loop (lines 662-671) — the second `rows.Next()` loop will never execute since the first one already consumed all rows.\n2. **Missing `COUNT(*)` and `GroupBy`** in the SQL query (line 632) — the plan called for `sq.Select(column, \"COUNT(*) as count\")` with `.GroupBy(column)`.\n3. **Leftover `rows.Close()`** on line 654 (redundant with `defer`).\n\nAlso, `QueryNodes` line 376 still has a leftover `rows.Close()`. Let me fix both."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":743,"cache_read_input_tokens":66220,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":743},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdkoepj43XKWB7E18fg","type":"assistant","uuid":"63c36ba6-4ea4-4121-9753-fa3c3c84c007","timestamp":"2026-03-11T04:07:51.484Z"} +{"parentUuid":"63c36ba6-4ea4-4121-9753-fa3c3c84c007","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_017cdTQnvToA5UD9mDsvQHRH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014hmC7YKSGak9NngAi3jZwi","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","new_string":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":743,"cache_read_input_tokens":66220,"output_tokens":522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":743,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdkoepj43XKWB7E18fg","type":"assistant","uuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","timestamp":"2026-03-11T04:07:53.997Z"} +{"type":"file-history-snapshot","messageId":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","snapshot":{"messageId":"09c7b7f2-964c-4e0d-b59b-4d19cd1409ca","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v1","version":1,"backupTime":"2026-03-11T04:07:54.013Z"}},"timestamp":"2026-03-11T04:07:15.719Z"},"isSnapshotUpdate":true} +{"parentUuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014hmC7YKSGak9NngAi3jZwi","toolUseID":"toolu_014hmC7YKSGak9NngAi3jZwi","timestamp":"2026-03-11T04:07:54.015Z","uuid":"2130494c-27ae-4f50-9abc-f8ec2fec4940"} +{"parentUuid":"c2493224-048c-4c58-8cc4-ab4f2a649f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014hmC7YKSGak9NngAi3jZwi","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"13cf52c1-4c8f-4b6b-8d3d-4ec5ca3cc6bb","timestamp":"2026-03-11T04:07:54.015Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","newString":"\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":373,"oldLines":7,"newStart":373,"newLines":6,"lines":[" node := schema.Node{}"," if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,"," &node.NodeState, &node.HealthState); err != nil {","- rows.Close()"," cclog.Warn(\"Error while scanning rows (QueryNodes)\")"," return nil, err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c2493224-048c-4c58-8cc4-ab4f2a649f5b"} +{"parentUuid":"13cf52c1-4c8f-4b6b-8d3d-4ec5ca3cc6bb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01453MiHDKM2BBHfPmZajgkR","type":"message","role":"assistant","content":[{"type":"text","text":"Now fix `CountStates` — replace the entire function body with the correct version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":580,"cache_read_input_tokens":66963,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":580},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdmmQfiAB4WoaXfNpF1","type":"assistant","uuid":"13b7a816-d38b-4f4b-8b02-caa0214da9b7","timestamp":"2026-03-11T04:07:58.171Z"} +{"parentUuid":"13b7a816-d38b-4f4b-8b02-caa0214da9b7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01453MiHDKM2BBHfPmZajgkR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JNBXdZNE2CcELqfTrXdJWz","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","new_string":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":580,"cache_read_input_tokens":66963,"output_tokens":939,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":580,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdmmQfiAB4WoaXfNpF1","type":"assistant","uuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","timestamp":"2026-03-11T04:08:04.337Z"} +{"parentUuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01JNBXdZNE2CcELqfTrXdJWz","toolUseID":"toolu_01JNBXdZNE2CcELqfTrXdJWz","timestamp":"2026-03-11T04:08:04.348Z","uuid":"3c07d491-3683-4600-b4cc-d813131ffcc5"} +{"parentUuid":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JNBXdZNE2CcELqfTrXdJWz","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"ddce8aa1-77e4-4d25-b512-d0efc65a8988","timestamp":"2026-03-11T04:08:04.347Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","newString":"func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column).\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstateMap := map[string]int{}\n\tfor rows.Next() {\n\t\tvar state string\n\t\tif err := rows.Scan(&state); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[state] += 1\n\t}\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":628,"oldLines":10,"newStart":628,"newLines":11,"lines":[" "," func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {"," query, qerr := AccessCheck(ctx,","- sq.Select(column).","+ sq.Select(column, \"COUNT(*) as count\")."," From(\"node\")."," Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","+ Where(latestStateCondition()).","+ GroupBy(column))"," if qerr != nil {"," return nil, qerr"," }"]},{"oldStart":646,"oldLines":18,"newStart":647,"newLines":6,"lines":[" }"," defer rows.Close()"," ","- stateMap := map[string]int{}","- for rows.Next() {","- var state string","- if err := rows.Scan(&state); err != nil {","- rows.Close()","- cclog.Warn(\"Error while scanning rows (CountStates)\")","- return nil, err","- }","-","- stateMap[state] += 1","- }","-"," nodes := make([]*model.NodeStates, 0)"," for rows.Next() {"," var state string"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f28bf8b-9ec7-41dc-b745-77e4ccc1f421"} +{"parentUuid":"ddce8aa1-77e4-4d25-b512-d0efc65a8988","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013q3nmYBt8k2LaeJW2CZ7Am","type":"message","role":"assistant","content":[{"type":"text","text":"There's a duplicate `QueryNodesWithMeta`. Let me check the full file structure."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1096,"cache_read_input_tokens":67543,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1096},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnXFu4dN1mWkSj5x9E","type":"assistant","uuid":"d629ac2b-5096-4eca-9a38-3a8a2ba4a93f","timestamp":"2026-03-11T04:08:08.110Z"} +{"parentUuid":"d629ac2b-5096-4eca-9a38-3a8a2ba4a93f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_013q3nmYBt8k2LaeJW2CZ7Am","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RzB1yPq8Mc8zixamVW5Grf","name":"Bash","input":{"command":"grep -n 'func (r \\*NodeRepository)' /Users/jan/prg/CC/cc-backend/internal/repository/node.go","description":"List all NodeRepository methods with line numbers"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1096,"cache_read_input_tokens":67543,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1096,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdnXFu4dN1mWkSj5x9E","type":"assistant","uuid":"30331cef-59c9-42e0-b161-aa98afa42073","timestamp":"2026-03-11T04:08:08.781Z"} 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{\n274:func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n312:func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n327:func (r *NodeRepository) DeleteNode(id int64) error {\n339:func (r *NodeRepository) QueryNodes(\n391:func (r *NodeRepository) QueryNodesWithMeta(\n470:func (r *NodeRepository) QueryNodesWithMeta(\n545:func (r *NodeRepository) CountNodes(\n570:func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n600:func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n629:func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n668:func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n741:func (r *NodeRepository) GetNodesForList(","is_error":false}]},"uuid":"55e92ffd-c3fe-4b4b-bf98-725ffba244a5","timestamp":"2026-03-11T04:08:08.827Z","toolUseResult":{"stdout":"87:func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n115:func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n143:func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n182:func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n208:func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n247:// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n274:func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n312:func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n327:func (r *NodeRepository) DeleteNode(id int64) error {\n339:func (r *NodeRepository) QueryNodes(\n391:func (r *NodeRepository) QueryNodesWithMeta(\n470:func (r *NodeRepository) QueryNodesWithMeta(\n545:func (r *NodeRepository) CountNodes(\n570:func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n600:func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n629:func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n668:func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n741:func (r *NodeRepository) GetNodesForList(","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"30331cef-59c9-42e0-b161-aa98afa42073"} +{"parentUuid":"55e92ffd-c3fe-4b4b-bf98-725ffba244a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YYVXjaitpdCf96X6TCtv38","type":"message","role":"assistant","content":[{"type":"text","text":"There's a duplicate `QueryNodesWithMeta` at line 470. The old version wasn't removed. Let me see both."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":68639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":724},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnrVHfCX3fDZXVyMV1","type":"assistant","uuid":"b440e868-d735-4dd3-8b52-544166e6b183","timestamp":"2026-03-11T04:08:13.216Z"} +{"parentUuid":"b440e868-d735-4dd3-8b52-544166e6b183","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YYVXjaitpdCf96X6TCtv38","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015mrTjYeV3vgNyYPU29xG1G","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","offset":465,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":68639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":724},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdnrVHfCX3fDZXVyMV1","type":"assistant","uuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","timestamp":"2026-03-11T04:08:13.898Z"} +{"parentUuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015mrTjYeV3vgNyYPU29xG1G","toolUseID":"toolu_015mrTjYeV3vgNyYPU29xG1G","timestamp":"2026-03-11T04:08:13.911Z","uuid":"51dc1ee3-7f8b-4cc9-a8be-be6ecc3f8e61"} +{"parentUuid":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015mrTjYeV3vgNyYPU29xG1G","type":"tool_result","content":" 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 470→func (r *NodeRepository) QueryNodesWithMeta(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→\tpage *model.PageRequest,\n 474→\torder *model.OrderByInput, // Currently unused!\n 475→) ([]*schema.Node, error) {\n 476→\tquery, qerr := AccessCheck(ctx,\n 477→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 478→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 479→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 480→\t\t\tFrom(\"node\").\n 481→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 482→\t\t\tWhere(latestStateCondition()))\n 483→\tif qerr != nil {\n 484→\t\treturn nil, qerr\n 485→\t}\n 486→\n 487→\tquery = applyNodeFilters(query, filters)\n 488→\tquery = query.OrderBy(\"node.hostname ASC\")\n 489→\n 490→\tif page != nil && page.ItemsPerPage != -1 {\n 491→\t\tlimit := uint64(page.ItemsPerPage)\n 492→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 493→\t}\n 494→\n 495→\trows, err := query.RunWith(r.stmtCache).Query()\n 496→\tif err != nil {\n 497→\t\tqueryString, queryVars, _ := query.ToSql()\n 498→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 499→\t\treturn nil, err\n 500→\t}\n 501→\n 502→\tnodes := make([]*schema.Node, 0)\n 503→\tfor rows.Next() {\n 504→\t\tnode := schema.Node{}\n 505→\t\tRawMetaData := make([]byte, 0)\n 506→\t\tRawMetricHealth := make([]byte, 0)\n 507→\n 508→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 509→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 510→\t\t\trows.Close()\n 511→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 512→\t\t\treturn nil, err\n 513→\t\t}\n 514→\n 515→\t\tif len(RawMetaData) == 0 {\n 516→\t\t\tnode.MetaData = nil\n 517→\t\t} else {\n 518→\t\t\tmetaData := make(map[string]string)\n 519→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 520→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 521→\t\t\t\treturn nil, err\n 522→\t\t\t}\n 523→\t\t\tnode.MetaData = metaData\n 524→\t\t}\n 525→\n 526→\t\tif len(RawMetricHealth) == 0 {\n 527→\t\t\tnode.HealthData = nil\n 528→\t\t} else {\n 529→\t\t\thealthData := make(map[string][]string)\n 530→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 531→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 532→\t\t\t\treturn nil, err\n 533→\t\t\t}\n 534→\t\t\tnode.HealthData = healthData\n 535→\t\t}\n 536→\n 537→\t\tnodes = append(nodes, &node)\n 538→\t}\n 539→\n 540→\treturn nodes, nil\n 541→}\n 542→\n 543→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 544→// on the last state (largest timestamp) per node."}]},"uuid":"fd8f0623-c9af-48c6-8d83-5dcefb1e827b","timestamp":"2026-03-11T04:08:13.911Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","content":"\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.","numLines":80,"startLine":465,"totalLines":936}},"sourceToolAssistantUUID":"089c5cd7-662c-4f67-bcd7-9f45a3575b7a"} +{"parentUuid":"fd8f0623-c9af-48c6-8d83-5dcefb1e827b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YLs6shXdUGMPjeYYVGzAV9","type":"message","role":"assistant","content":[{"type":"text","text":"The second copy (lines 468-541) is the old version — missing `defer rows.Close()`, has manual `rows.Close()`, and no `rows.Err()` check. The fixed copy is at line 391. I need to remove the duplicate."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1246,"cache_read_input_tokens":69363,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1246},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdoEoxxZRF2mc2A8xnL","type":"assistant","uuid":"85e8d7e8-95d5-46f0-935d-ba59278d4f83","timestamp":"2026-03-11T04:08:18.605Z"} +{"parentUuid":"85e8d7e8-95d5-46f0-935d-ba59278d4f83","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YLs6shXdUGMPjeYYVGzAV9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LqkWfq54BKctXf2nsDX3Ro","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","old_string":"// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates","new_string":"// CountNodes returns the total matched nodes based on a node filter. It always operates"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1246,"cache_read_input_tokens":69363,"output_tokens":1030,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1246,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdoEoxxZRF2mc2A8xnL","type":"assistant","uuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","timestamp":"2026-03-11T04:08:25.077Z"} +{"parentUuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01LqkWfq54BKctXf2nsDX3Ro","toolUseID":"toolu_01LqkWfq54BKctXf2nsDX3Ro","timestamp":"2026-03-11T04:08:25.088Z","uuid":"9da068ba-2caf-48ad-a300-08f5bbbc3018"} +{"parentUuid":"b74d1823-4719-4f3a-984c-86374f73d7e2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LqkWfq54BKctXf2nsDX3Ro","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3176d4d0-62ef-4d06-be5b-1204360dd6e3","timestamp":"2026-03-11T04:08:25.088Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","oldString":"// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates","newString":"// CountNodes returns the total matched nodes based on a node filter. It always operates","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":465,"oldLines":81,"newStart":465,"newLines":6,"lines":[" return nodes, nil"," }"," ","-// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates","-// on the last state (largest timestamp). It includes both (!) optional JSON column data","-func (r *NodeRepository) QueryNodesWithMeta(","- ctx context.Context,","- filters []*model.NodeFilter,","- page *model.PageRequest,","- order *model.OrderByInput, // Currently unused!","-) ([]*schema.Node, error) {","- query, qerr := AccessCheck(ctx,","- sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",","- \"node_state.node_state\", \"node_state.health_state\",","- \"node.meta_data\", \"node_state.health_metrics\").","- From(\"node\").","- Join(\"node_state ON node_state.node_id = node.id\").","- Where(latestStateCondition()))","- if qerr != nil {","- return nil, qerr","- }","-","- query = applyNodeFilters(query, filters)","- query = query.OrderBy(\"node.hostname ASC\")","-","- if page != nil && page.ItemsPerPage != -1 {","- limit := uint64(page.ItemsPerPage)","- query = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)","- }","-","- rows, err := query.RunWith(r.stmtCache).Query()","- if err != nil {","- queryString, queryVars, _ := query.ToSql()","- cclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)","- return nil, err","- }","-","- nodes := make([]*schema.Node, 0)","- for rows.Next() {","- node := schema.Node{}","- RawMetaData := make([]byte, 0)","- RawMetricHealth := make([]byte, 0)","-","- if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,","- &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {","- rows.Close()","- cclog.Warn(\"Error while scanning rows (QueryNodes)\")","- return nil, err","- }","-","- if len(RawMetaData) == 0 {","- node.MetaData = nil","- } else {","- metaData := make(map[string]string)","- if err := json.Unmarshal(RawMetaData, &metaData); err != nil {","- cclog.Warn(\"Error while unmarshaling raw metadata json\")","- return nil, err","- }","- node.MetaData = metaData","- }","-","- if len(RawMetricHealth) == 0 {","- node.HealthData = nil","- } else {","- healthData := make(map[string][]string)","- if err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {","- cclog.Warn(\"Error while unmarshaling raw healthdata json\")","- return nil, err","- }","- node.HealthData = healthData","- }","-","- nodes = append(nodes, &node)","- }","-","- return nodes, nil","-}","-"," // CountNodes returns the total matched nodes based on a node filter. It always operates"," // on the last state (largest timestamp) per node."," func (r *NodeRepository) CountNodes("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b74d1823-4719-4f3a-984c-86374f73d7e2"} +{"parentUuid":"3176d4d0-62ef-4d06-be5b-1204360dd6e3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JxsCxBEdSte3K53yhiVneF","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also check `CountStatesTimed` for leftover manual `rows.Close()`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1069,"cache_read_input_tokens":70609,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1069},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdp3y8a81KQpWSXB1ty","type":"assistant","uuid":"4060e098-5cf7-4602-95d4-f486a9c4b684","timestamp":"2026-03-11T04:08:30.318Z"} +{"parentUuid":"4060e098-5cf7-4602-95d4-f486a9c4b684","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01JxsCxBEdSte3K53yhiVneF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GShpPP9gB5UB2vVBzyRVJF","name":"Grep","input":{"pattern":"rows\\.Close\\(\\)","path":"/Users/jan/prg/CC/cc-backend/internal/repository/node.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1069,"cache_read_input_tokens":70609,"output_tokens":134,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1069,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdp3y8a81KQpWSXB1ty","type":"assistant","uuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","timestamp":"2026-03-11T04:08:31.326Z"} +{"parentUuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01GShpPP9gB5UB2vVBzyRVJF","toolUseID":"toolu_01GShpPP9gB5UB2vVBzyRVJF","timestamp":"2026-03-11T04:08:31.359Z","uuid":"9c00b78b-83a9-4d3b-a044-bf10dcd49487"} +{"parentUuid":"85e2cc90-2577-47a1-9411-b2eaf1f31858","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GShpPP9gB5UB2vVBzyRVJF","type":"tool_result","content":"291:\tdefer rows.Close()\n369:\tdefer rows.Close()\n422:\tdefer rows.Close()\n510:\tdefer rows.Close()\n540:\tdefer rows.Close()\n573:\tdefer rows.Close()\n633:\tdefer rows.Close()"}]},"uuid":"5be26d95-eaff-4be3-b63c-2ea1c01b44f8","timestamp":"2026-03-11T04:08:31.358Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"291:\tdefer rows.Close()\n369:\tdefer rows.Close()\n422:\tdefer rows.Close()\n510:\tdefer rows.Close()\n540:\tdefer rows.Close()\n573:\tdefer rows.Close()\n633:\tdefer rows.Close()","numLines":7},"sourceToolAssistantUUID":"85e2cc90-2577-47a1-9411-b2eaf1f31858"} +{"parentUuid":"5be26d95-eaff-4be3-b63c-2ea1c01b44f8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018gLF7JThr2NWJhiNiXqim8","type":"message","role":"assistant","content":[{"type":"text","text":"Good — only `defer rows.Close()` calls remain. Let me verify it builds and tests pass."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":71678,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":208},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvdpWmvjMc5UchbctFgW","type":"assistant","uuid":"af0c5022-a2bc-48a7-b7eb-6383f81c037e","timestamp":"2026-03-11T04:08:35.587Z"} +{"parentUuid":"af0c5022-a2bc-48a7-b7eb-6383f81c037e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_018gLF7JThr2NWJhiNiXqim8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019NWQ2rxmtAfrikAWZPsPuq","name":"Bash","input":{"command":"go build ./... && go vet ./internal/repository/... && go test ./internal/repository/...","description":"Build, vet, and test repository package","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":71678,"output_tokens":139,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":208,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdpWmvjMc5UchbctFgW","type":"assistant","uuid":"aa7818e4-222a-4e02-b1f1-b954e238e938","timestamp":"2026-03-11T04:08:36.776Z"} +{"parentUuid":"aa7818e4-222a-4e02-b1f1-b954e238e938","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019NWQ2rxmtAfrikAWZPsPuq","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.820s","is_error":false}]},"uuid":"e5775dab-139d-4370-9e55-e142e9795a2b","timestamp":"2026-03-11T04:08:44.670Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.820s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"aa7818e4-222a-4e02-b1f1-b954e238e938"} +{"parentUuid":"e5775dab-139d-4370-9e55-e142e9795a2b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01YJGUNXVtzo4hc7M5ncwVNB","type":"message","role":"assistant","content":[{"type":"text","text":"All clean. Here's a summary of what was wrong and fixed in `node.go`:\n\n1. **Duplicate `QueryNodesWithMeta`** (lines 468-541): The old unfixed version was left in alongside the fixed version at line 391. Removed the duplicate.\n2. **`CountStates`**: Had both old code (manual `stateMap` counting without SQL `COUNT(*)`) and new code (SQL `COUNT(*) ... GROUP BY`) concatenated together. The second `rows.Next()` loop was dead code since the first loop already consumed all rows. Replaced with the correct version using `SELECT column, COUNT(*) ... GROUP BY column`.\n3. **`QueryNodes` line 376**: Leftover `rows.Close()` inside the scan error path (redundant with `defer`). Removed."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":176,"cache_read_input_tokens":71886,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":176,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvdqVezPRnPz94LJufCx","type":"assistant","uuid":"8efed01c-5a20-455e-9406-0c829d9f5e52","timestamp":"2026-03-11T04:08:52.310Z"} +{"parentUuid":"8efed01c-5a20-455e-9406-0c829d9f5e52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09","toolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09","timestamp":"2026-03-11T04:08:52.336Z","uuid":"dc9740de-77cb-4151-baad-b7381fe28576"} +{"parentUuid":"dc9740de-77cb-4151-baad-b7381fe28576","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":514}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-11T04:08:52.850Z","uuid":"b08ec97e-3577-4365-8cc4-0b171d946f5b","toolUseID":"a81368f7-5a6c-4445-9808-c1b9c911ab09"} +{"parentUuid":"b08ec97e-3577-4365-8cc4-0b171d946f5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"system","subtype":"turn_duration","durationMs":97132,"timestamp":"2026-03-11T04:08:52.851Z","uuid":"0603a68d-c2dc-4fb5-9ae3-5bd31281a9c7","isMeta":false} +{"type":"file-history-snapshot","messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","snapshot":{"messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v2","version":2,"backupTime":"2026-03-11T04:13:22.586Z"}},"timestamp":"2026-03-11T04:13:22.585Z"},"isSnapshotUpdate":false} +{"parentUuid":"0603a68d-c2dc-4fb5-9ae3-5bd31281a9c7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":"There also have to be bugs in jobQuery.go . Especially the following query triggers the memory leak: SELECT * FROM job WHERE job.job_state IN (\"completed\", \"running\", \"failed\") ORDER BY job.start_time DESC LIMIT 1 OFFSET 10; Dig deeper to find the cause. Also investigate why no existing index is used for this query."},"uuid":"ed8d6788-a2e9-4403-ace5-3763e3650eee","timestamp":"2026-03-11T04:13:22.111Z","permissionMode":"acceptEdits"} +{"parentUuid":"ed8d6788-a2e9-4403-ace5-3763e3650eee","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0181D2cZZfAxisVWH26wzt3B","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EvgBCkYICxgCKkBNfABi0Fuz/fyo/+V+f7+abZ5JnLMSeUMCsLFB2yMInGKmkpb/A0cfBTTtzpWtVwIZC3RuRrOoMzzSaDVu2aPsEgzqF+/AXnEK3x6OTQ4aDBP7DszWzMFplAigLSIwhLfvFx4SJ3jISS78asK8Aqcs5/F5nRrs6w8JDlhWS3sh+MveNA4avNzLqlgjT5k0KmAkwEvoLatUR4ZBAS0K6zaF4GnrBfo2AeGxEPx5SPEO3gra8wFH7bCNkACl678VtVUxaJ369o6j01iWY7w2GfBOEpRFnpuSD0JhmGChDMUkV9jEjIsRCSdg9GmaKIJNHo0YAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":325,"cache_read_input_tokens":72062,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":325},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveBz65j16JQyeSPXgxz","type":"assistant","uuid":"0dce20d8-08c8-489e-9881-8aa80040b2a4","timestamp":"2026-03-11T04:13:29.108Z"} +{"parentUuid":"0dce20d8-08c8-489e-9881-8aa80040b2a4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_0181D2cZZfAxisVWH26wzt3B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":325,"cache_read_input_tokens":72062,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":325,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveBz65j16JQyeSPXgxz","type":"assistant","uuid":"880da1fd-d769-497c-b577-bd3075d1274f","timestamp":"2026-03-11T04:13:29.110Z"} +{"parentUuid":"880da1fd-d769-497c-b577-bd3075d1274f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","toolUseID":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","timestamp":"2026-03-11T04:13:29.121Z","uuid":"5c7b8a53-ac11-4ef1-9f6a-eced9f1f991d"} +{"parentUuid":"880da1fd-d769-497c-b577-bd3075d1274f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YT5aJN6vtzpkr2sqHFSbpS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"ac9cb846-b477-4185-82a4-6ddb1026b600","timestamp":"2026-03-11T04:13:29.120Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tstates := make([]string, len(filter.State))\n\t\tfor i, val := range filter.State {\n\t\t\tstates[i] = string(val)\n\t\t}\n\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":439,"startLine":1,"totalLines":439}},"sourceToolAssistantUUID":"880da1fd-d769-497c-b577-bd3075d1274f"} 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+{"parentUuid":"62d8e6c2-ce02-4e2d-b716-828b6a4e6f6d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XAhjZ5auRR2Xcwv9xUURDX","type":"message","role":"assistant","content":[{"type":"text","text":"`QueryJobs` itself looks correct (has `defer rows.Close()` and `rows.Err()`). Let me search for other `.Query()` calls missing close, and look at the database indexes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7104,"cache_read_input_tokens":72387,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7104},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveCTtfMnj42o1ER5qwK","type":"assistant","uuid":"fb0fc389-5424-4901-846d-5ae1666f6e61","timestamp":"2026-03-11T04:13:40.874Z"} +{"parentUuid":"fb0fc389-5424-4901-846d-5ae1666f6e61","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XAhjZ5auRR2Xcwv9xUURDX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","name":"Agent","input":{"description":"Find all Query() calls missing defer rows.Close()","subagent_type":"Explore","prompt":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7104,"cache_read_input_tokens":72387,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7104},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveCTtfMnj42o1ER5qwK","type":"assistant","uuid":"c3361e4b-5df7-46eb-b020-0a86629777c1","timestamp":"2026-03-11T04:13:45.882Z"} +{"parentUuid":"c3361e4b-5df7-46eb-b020-0a86629777c1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"3ddd06b9-56c8-4de0-8521-8c0b78737c7a","timestamp":"2026-03-11T04:13:45.887Z"} +{"parentUuid":"3ddd06b9-56c8-4de0-8521-8c0b78737c7a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close."}]},"uuid":"913ad3f9-a308-4c51-87e6-2c2b59afc3d6","timestamp":"2026-03-11T04:13:46.177Z"},"type":"agent_progress","prompt":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close.","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"25dabce0-d5e7-46be-8ee8-4b0b41e2022c","timestamp":"2026-03-11T04:13:46.178Z"} 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+{"parentUuid":"b6c1edd2-56c4-49f1-8d60-b051c7c2215c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017BgDvZhmq5zfLxvd9LCbmf","type":"tool_result","content":"/Users/jan/prg/CC/cc-backend/internal/repository/config.go\n/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go\n/Users/jan/prg/CC/cc-backend/internal/repository/hooks.go\n/Users/jan/prg/CC/cc-backend/internal/repository/hooks_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/job.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobHooks.go\n/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go\n/Users/jan/prg/CC/cc-backend/internal/repository/job_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/migration.go\n/Users/jan/prg/CC/cc-backend/internal/repository/node_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/repository_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/stats.go\n/Users/jan/prg/CC/cc-backend/internal/repository/stats_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/tags.go\n/Users/jan/prg/CC/cc-backend/internal/repository/transaction.go\n/Users/jan/prg/CC/cc-backend/internal/repository/transaction_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/user.go\n/Users/jan/prg/CC/cc-backend/internal/repository/userConfig.go\n/Users/jan/prg/CC/cc-backend/internal/repository/userConfig_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/user_test.go\n/Users/jan/prg/CC/cc-backend/internal/repository/node.go"}]},"uuid":"f1a09424-62ad-40c3-971c-a917bde1c7c3","timestamp":"2026-03-11T04:13:48.132Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"f3506693-1bf1-42ff-b6d6-4cecd9017a13","timestamp":"2026-03-11T04:13:48.177Z"} +{"parentUuid":"f3506693-1bf1-42ff-b6d6-4cecd9017a13","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:49.655Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YTseKy7zi2ziU5tYJFQG5w","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ha11vDx4nLasF8aPe1XZBs","name":"Grep","input":{"pattern":"\\.Query[x]?\\(","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":692,"cache_read_input_tokens":16585,"cache_creation":{"ephemeral_5m_input_tokens":692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveDsS37pbavBz9UYPVe","uuid":"4fe5f6d3-5382-427a-8ff7-daf7e9de0fa7"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"25fadfa2-4994-4b00-a05d-e1c78c1939b5","timestamp":"2026-03-11T04:13:49.657Z"} +{"parentUuid":"25fadfa2-4994-4b00-a05d-e1c78c1939b5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ha11vDx4nLasF8aPe1XZBs","type":"tool_result","content":"internal/repository/node.go:287:\t\tRunWith(r.DB).Query()\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:416:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:504:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:533:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:567:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:627:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:282:\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\ninternal/repository/tags.go:338:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:514:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:552:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:595:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/user.go:100:\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\ninternal/repository/user.go:278:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/userConfig.go:68:\t\trows, err := uCfg.Lookup.Query(user.Username)\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\ninternal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:443:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:504:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:758:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:832:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:962:\trows, err := mainQuery.RunWith(r.DB).Query()\ninternal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\ninternal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()"}]},"uuid":"e47df04f-8920-4249-ade3-8fd149f7428b","timestamp":"2026-03-11T04:13:49.690Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"3e44deed-9130-4de7-aa4d-11c9f22f39be","timestamp":"2026-03-11T04:13:49.691Z"} +{"parentUuid":"3e44deed-9130-4de7-aa4d-11c9f22f39be","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XAhjZ5auRR2Xcwv9xUURDX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014DwjD4CYK5HxpUYGgGmVAy","name":"Agent","input":{"description":"Find database indexes and migrations","subagent_type":"Explore","prompt":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7104,"cache_read_input_tokens":72387,"output_tokens":755,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7104,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveCTtfMnj42o1ER5qwK","type":"assistant","uuid":"43e2b0d9-7514-4e1f-a562-e90e75ff1eed","timestamp":"2026-03-11T04:13:49.844Z"} +{"parentUuid":"43e2b0d9-7514-4e1f-a562-e90e75ff1eed","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"0ab50947-a6cf-4414-91ad-a5d983310741","timestamp":"2026-03-11T04:13:49.845Z"} +{"parentUuid":"0ab50947-a6cf-4414-91ad-a5d983310741","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover."}]},"uuid":"93a149a2-5105-4511-8cef-6471da42da7a","timestamp":"2026-03-11T04:13:50.095Z"},"type":"agent_progress","prompt":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover.","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"bd6b51af-dc19-419d-9f90-1992e9f31d44","timestamp":"2026-03-11T04:13:50.095Z"} 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+{"parentUuid":"3b986300-6cfa-48d5-8ef0-cfadb39e383a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcK2pX3F2fFiCzHEzws418","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"eb1948f5-9c66-4819-a463-44a831c94f54","timestamp":"2026-03-11T04:13:51.840Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"e9ad61b0-0094-474b-8f33-7a52541639a5","timestamp":"2026-03-11T04:13:51.976Z"} +{"parentUuid":"e9ad61b0-0094-474b-8f33-7a52541639a5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138ScDqRkQS1L1N7QBYe1d9","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"bf90e28e-8016-4901-a7fc-7be819dabe49","timestamp":"2026-03-11T04:13:51.800Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"7592f8ec-585e-4a1a-b6e1-f7e5165ec19a","timestamp":"2026-03-11T04:13:51.977Z"} 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+{"parentUuid":"93d09c2f-414e-4a2c-8517-7a1a2dc908aa","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AcHkoGjh4Pz8YC96dUiAy1","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"d324973e-3dfc-4e80-a3e6-a9bac0ebfdb5","timestamp":"2026-03-11T04:13:51.986Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"d4394d10-c8a1-47d3-bcd2-1764ad69a824","timestamp":"2026-03-11T04:13:52.207Z"} +{"parentUuid":"d4394d10-c8a1-47d3-bcd2-1764ad69a824","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:52.227Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VBQ69Yi7PqjnzAKUANrVmL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JF55oktT51TY2Q5Pc9WK88","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1191,"cache_read_input_tokens":17277,"cache_creation":{"ephemeral_5m_input_tokens":1191,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveDzLWmrspUHEDRijWk","uuid":"22c2ab59-398e-466e-b135-a6f1e842ee12"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"21689dff-e22a-4ee4-934c-14fedaff8ee9","timestamp":"2026-03-11T04:13:52.227Z"} +{"parentUuid":"21689dff-e22a-4ee4-934c-14fedaff8ee9","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JF55oktT51TY2Q5Pc9WK88","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//\n 123→// Required fields: Username, Roles\n 124→// Optional fields: Name, Email, Password, Projects, AuthSource\n 125→func (r *UserRepository) AddUser(user *schema.User) error {\n 126→\trolesJson, _ := json.Marshal(user.Roles)\n 127→\tprojectsJson, _ := json.Marshal(user.Projects)\n 128→\n 129→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 130→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 131→\n 132→\tif user.Name != \"\" {\n 133→\t\tcols = append(cols, \"name\")\n 134→\t\tvals = append(vals, user.Name)\n 135→\t}\n 136→\tif user.Email != \"\" {\n 137→\t\tcols = append(cols, \"email\")\n 138→\t\tvals = append(vals, user.Email)\n 139→\t}\n 140→\tif user.Password != \"\" {\n 141→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 142→\t\tif err != nil {\n 143→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 144→\t\t\treturn err\n 145→\t\t}\n 146→\t\tcols = append(cols, \"password\")\n 147→\t\tvals = append(vals, string(password))\n 148→\t}\n 149→\tif user.AuthSource != -1 {\n 150→\t\tcols = append(cols, \"ldap\")\n 151→\t\tvals = append(vals, int(user.AuthSource))\n 152→\t}\n 153→\n 154→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 155→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 156→\t\treturn err\n 157→\t}\n 158→\n 159→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 160→\n 161→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 162→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 163→\tif err != nil {\n 164→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 165→\t} else if defaultMetricsCfg != nil {\n 166→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 167→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 168→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 169→\t\t\tif err != nil {\n 170→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 171→\t\t\t\tcontinue\n 172→\t\t\t}\n 173→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 174→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 175→\t\t\tif _, err := sq.Insert(\"configuration\").\n 176→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 177→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 178→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 180→\t\t\t} else {\n 181→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 182→\t\t\t}\n 183→\t\t}\n 184→\t}\n 185→\t// END DEPRECATION\n 186→\n 187→\treturn nil\n 188→}\n 189→\n 190→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 191→\t// user contains updated info -> Apply to dbUser\n 192→\t// --- Simple Name Update ---\n 193→\tif dbUser.Name != user.Name {\n 194→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 195→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 196→\t\t\treturn err\n 197→\t\t}\n 198→\t}\n 199→\n 200→\t// --- Def Helpers ---\n 201→\t// Helper to update roles\n 202→\tupdateRoles := func(roles []string) error {\n 203→\t\trolesJSON, _ := json.Marshal(roles)\n 204→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 205→\t\treturn err\n 206→\t}\n 207→\n 208→\t// Helper to update projects\n 209→\tupdateProjects := func(projects []string) error {\n 210→\t\tprojectsJSON, _ := json.Marshal(projects)\n 211→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 212→\t\treturn err\n 213→\t}\n 214→\n 215→\t// Helper to clear projects\n 216→\tclearProjects := func() error {\n 217→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 218→\t\treturn err\n 219→\t}\n 220→\n 221→\t// --- Manager Role Handling ---\n 222→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 223→\t\t// Existing Manager: update projects\n 224→\t\tif err := updateProjects(user.Projects); err != nil {\n 225→\t\t\treturn err\n 226→\t\t}\n 227→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 228→\t\t// New Manager: update roles and projects\n 229→\t\tif err := updateRoles(user.Roles); err != nil {\n 230→\t\t\treturn err\n 231→\t\t}\n 232→\t\tif err := updateProjects(user.Projects); err != nil {\n 233→\t\t\treturn err\n 234→\t\t}\n 235→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 236→\t\t// Remove Manager: update roles and clear projects\n 237→\t\tif err := updateRoles(user.Roles); err != nil {\n 238→\t\t\treturn err\n 239→\t\t}\n 240→\t\tif err := clearProjects(); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t}\n 244→\n 245→\t// --- Support Role Handling ---\n 246→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 247→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 248→\t\t// New Support: update roles\n 249→\t\tif err := updateRoles(user.Roles); err != nil {\n 250→\t\t\treturn err\n 251→\t\t}\n 252→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 253→\t\t// Remove Support: update roles\n 254→\t\tif err := updateRoles(user.Roles); err != nil {\n 255→\t\t\treturn err\n 256→\t\t}\n 257→\t}\n 258→\n 259→\treturn nil\n 260→}\n 261→\n 262→func (r *UserRepository) DelUser(username string) error {\n 263→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 264→\tif err != nil {\n 265→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 266→\t\treturn err\n 267→\t}\n 268→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 269→\treturn nil\n 270→}\n 271→\n 272→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 273→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 274→\tif specialsOnly {\n 275→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 276→\t}\n 277→\n 278→\trows, err := q.RunWith(r.DB).Query()\n 279→\tif err != nil {\n 280→\t\tcclog.Warn(\"Error while querying user list\")\n 281→\t\treturn nil, err\n 282→\t}\n 283→\n 284→\tusers := make([]*schema.User, 0)\n 285→\tdefer rows.Close()\n 286→\tfor rows.Next() {\n 287→\t\trawroles := \"\"\n 288→\t\trawprojects := \"\"\n 289→\t\tuser := &schema.User{}\n 290→\t\tvar name, email sql.NullString\n 291→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 292→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 293→\t\t\treturn nil, err\n 294→\t\t}\n 295→\n 296→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 297→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 298→\t\t\treturn nil, err\n 299→\t\t}\n 300→\n 301→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\n 305→\t\tuser.Name = name.String\n 306→\t\tuser.Email = email.String\n 307→\t\tusers = append(users, user)\n 308→\t}\n 309→\treturn users, nil\n 310→}\n 311→\n 312→// AddRole adds a role to a user's role list.\n 313→// Role string is automatically lowercased.\n 314→// Valid roles: admin, support, manager, api, user\n 315→//\n 316→// Returns error if:\n 317→// - User doesn't exist\n 318→// - Role is invalid\n 319→// - User already has the role\n 320→func (r *UserRepository) AddRole(\n 321→\tctx context.Context,\n 322→\tusername string,\n 323→\tqueryrole string,\n 324→) error {\n 325→\tnewRole := strings.ToLower(queryrole)\n 326→\tuser, err := r.GetUser(username)\n 327→\tif err != nil {\n 328→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 329→\t\treturn err\n 330→\t}\n 331→\n 332→\texists, valid := user.HasValidRole(newRole)\n 333→\n 334→\tif !valid {\n 335→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 336→\t}\n 337→\tif exists {\n 338→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 339→\t}\n 340→\n 341→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 342→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 343→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 344→\t\treturn err\n 345→\t}\n 346→\treturn nil\n 347→}\n 348→\n 349→// RemoveRole removes a role from a user's role list.\n 350→//\n 351→// Special rules:\n 352→// - Cannot remove \"manager\" role while user has assigned projects\n 353→// - Must remove all projects first before removing manager role\n 354→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 355→\toldRole := strings.ToLower(queryrole)\n 356→\tuser, err := r.GetUser(username)\n 357→\tif err != nil {\n 358→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\texists, valid := user.HasValidRole(oldRole)\n 363→\n 364→\tif !valid {\n 365→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 366→\t}\n 367→\tif !exists {\n 368→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 369→\t}\n 370→\n 371→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 372→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 373→\t}\n 374→\n 375→\tvar newroles []string\n 376→\tfor _, r := range user.Roles {\n 377→\t\tif r != oldRole {\n 378→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 379→\t\t}\n 380→\t}\n 381→\n 382→\tmroles, _ := json.Marshal(newroles)\n 383→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 384→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 385→\t\treturn err\n 386→\t}\n 387→\treturn nil\n 388→}\n 389→\n 390→// AddProject assigns a project to a manager user.\n 391→// Only users with the \"manager\" role can have assigned projects.\n 392→//\n 393→// Returns error if:\n 394→// - User doesn't have manager role\n 395→// - User already manages the project\n 396→func (r *UserRepository) AddProject(\n 397→\tctx context.Context,\n 398→\tusername string,\n 399→\tproject string,\n 400→) error {\n 401→\tuser, err := r.GetUser(username)\n 402→\tif err != nil {\n 403→\t\treturn err\n 404→\t}\n 405→\n 406→\tif !user.HasRole(schema.RoleManager) {\n 407→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 408→\t}\n 409→\n 410→\tif user.HasProject(project) {\n 411→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 412→\t}\n 413→\n 414→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 415→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 416→\t\treturn err\n 417→\t}\n 418→\n 419→\treturn nil\n 420→}\n 421→\n 422→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 423→\tuser, err := r.GetUser(username)\n 424→\tif err != nil {\n 425→\t\treturn err\n 426→\t}\n 427→\n 428→\tif !user.HasRole(schema.RoleManager) {\n 429→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 430→\t}\n 431→\n 432→\tif !user.HasProject(project) {\n 433→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 434→\t}\n 435→\n 436→\tvar exists bool\n 437→\tvar newprojects []string\n 438→\tfor _, p := range user.Projects {\n 439→\t\tif p != project {\n 440→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 441→\t\t} else {\n 442→\t\t\texists = true\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif exists {\n 447→\t\tvar result any\n 448→\t\tif len(newprojects) == 0 {\n 449→\t\t\tresult = \"[]\"\n 450→\t\t} else {\n 451→\t\t\tresult, _ = json.Marshal(newprojects)\n 452→\t\t}\n 453→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 454→\t\t\treturn err\n 455→\t\t}\n 456→\t\treturn nil\n 457→\t} else {\n 458→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 459→\t}\n 460→}\n 461→\n 462→type ContextKey string\n 463→\n 464→const ContextUserKey ContextKey = \"user\"\n 465→\n 466→func GetUserFromContext(ctx context.Context) *schema.User {\n 467→\tx := ctx.Value(ContextUserKey)\n 468→\tif x == nil {\n 469→\t\tcclog.Warnf(\"no user retrieved from context\")\n 470→\t\treturn nil\n 471→\t}\n 472→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 473→\treturn x.(*schema.User)\n 474→}\n 475→\n 476→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 477→\tme := GetUserFromContext(ctx)\n 478→\tif me != nil && me.Username != username &&\n 479→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 480→\t\treturn nil, errors.New(\"forbidden\")\n 481→\t}\n 482→\n 483→\tuser := &model.User{Username: username}\n 484→\tvar name, email sql.NullString\n 485→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 486→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 487→\t\tif err == sql.ErrNoRows {\n 488→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 489→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 490→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 491→\t\t\treturn nil, nil\n 492→\t\t}\n 493→\n 494→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 495→\t\treturn nil, err\n 496→\t}\n 497→\n 498→\tuser.Name = name.String\n 499→\tuser.Email = email.String\n 500→\treturn user, nil\n 501→}\n 502→"}]},"uuid":"db16164c-81f4-4221-a6c1-be15fc540f54","timestamp":"2026-03-11T04:13:52.230Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"40ee2261-3139-4932-86ae-8cf48219eab8","timestamp":"2026-03-11T04:13:52.231Z"} +{"parentUuid":"40ee2261-3139-4932-86ae-8cf48219eab8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:52.238Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VBQ69Yi7PqjnzAKUANrVmL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015DVFH36JucJSZ6ro72phju","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/userConfig.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1191,"cache_read_input_tokens":17277,"cache_creation":{"ephemeral_5m_input_tokens":1191,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveDzLWmrspUHEDRijWk","uuid":"23f6802d-eaaa-40d7-8caf-e6811ec7a4b1"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"f8b268f8-4c4c-4146-aad7-ae039504232f","timestamp":"2026-03-11T04:13:52.239Z"} +{"parentUuid":"f8b268f8-4c4c-4146-aad7-ae039504232f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015DVFH36JucJSZ6ro72phju","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"encoding/json\"\n 9→\t\"maps\"\n 10→\t\"sync\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/jmoiron/sqlx\"\n 19→)\n 20→\n 21→var (\n 22→\tuserCfgRepoOnce sync.Once\n 23→\tuserCfgRepoInstance *UserCfgRepo\n 24→)\n 25→\n 26→type UserCfgRepo struct {\n 27→\tDB *sqlx.DB\n 28→\tLookup *sqlx.Stmt\n 29→\tuiDefaults map[string]any\n 30→\tcache *lrucache.Cache\n 31→\tlock sync.RWMutex\n 32→}\n 33→\n 34→func GetUserCfgRepo() *UserCfgRepo {\n 35→\tuserCfgRepoOnce.Do(func() {\n 36→\t\tdb := GetConnection()\n 37→\n 38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n 39→\t\tif err != nil {\n 40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n 41→\t\t}\n 42→\n 43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n 44→\t\t\tDB: db.DB,\n 45→\t\t\tLookup: lookupConfigStmt,\n 46→\t\t\tuiDefaults: web.UIDefaultsMap,\n 47→\t\t\tcache: lrucache.New(1024),\n 48→\t\t}\n 49→\t})\n 50→\n 51→\treturn userCfgRepoInstance\n 52→}\n 53→\n 54→// Return the personalised UI config for the currently authenticated\n 55→// user or return the plain default config.\n 56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n 57→\tif user == nil {\n 58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n 59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n 60→\t\treturn copy, nil\n 61→\t}\n 62→\n 63→\t// Is the cache invalidated in case the options are changed?\n 64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n 65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n 66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n 67→\n 68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n 69→\t\tif err != nil {\n 70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n 71→\t\t\treturn err, 0, 0\n 72→\t\t}\n 73→\n 74→\t\tsize := 0\n 75→\t\tdefer rows.Close()\n 76→\t\tfor rows.Next() {\n 77→\t\t\tvar key, rawval string\n 78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n 79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n 80→\t\t\t\treturn err, 0, 0\n 81→\t\t\t}\n 82→\n 83→\t\t\tvar val any\n 84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n 85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n 86→\t\t\t\treturn err, 0, 0\n 87→\t\t\t}\n 88→\n 89→\t\t\tsize += len(key)\n 90→\t\t\tsize += len(rawval)\n 91→\t\t\tuiconfig[key] = val\n 92→\t\t}\n 93→\n 94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n 95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n 96→\n 97→\t\treturn uiconfig, 24 * time.Hour, size\n 98→\t})\n 99→\tif err, ok := data.(error); ok {\n 100→\t\tcclog.Error(\"Error in returned dataset\")\n 101→\t\treturn nil, err\n 102→\t}\n 103→\n 104→\treturn data.(map[string]any), nil\n 105→}\n 106→\n 107→// If the context does not have a user, update the global ui configuration\n 108→// without persisting it! If there is a (authenticated) user, update only his\n 109→// configuration.\n 110→func (uCfg *UserCfgRepo) UpdateConfig(\n 111→\tkey, value string,\n 112→\tuser *schema.User,\n 113→) error {\n 114→\tif user == nil {\n 115→\t\treturn nil\n 116→\t}\n 117→\n 118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n 119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n 120→\t\treturn err\n 121→\t}\n 122→\n 123→\tuCfg.cache.Del(user.Username)\n 124→\treturn nil\n 125→}\n 126→"}]},"uuid":"365c0dca-c72e-498a-91c2-3f5254d961c9","timestamp":"2026-03-11T04:13:52.241Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"2063698c-ff63-40a9-a748-cd80f0e245b6","timestamp":"2026-03-11T04:13:52.246Z"} 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KEY (job_id) REFERENCES job (id) ON DELETE CASCADE,\n 43→FOREIGN KEY (tag_id) REFERENCES tag (id) ON DELETE CASCADE);\n 44→\n 45→CREATE TABLE IF NOT EXISTS user (\n 46→username varchar(255) PRIMARY KEY NOT NULL,\n 47→password varchar(255) DEFAULT NULL,\n 48→ldap tinyint NOT NULL DEFAULT 0, /* col called \"ldap\" for historic reasons, fills the \"AuthSource\" */\n 49→name varchar(255) DEFAULT NULL,\n 50→roles varchar(255) NOT NULL DEFAULT \"[]\",\n 51→email varchar(255) DEFAULT NULL);\n 52→\n 53→CREATE TABLE IF NOT EXISTS configuration (\n 54→username varchar(255),\n 55→confkey varchar(255),\n 56→value varchar(255),\n 57→PRIMARY KEY (username, confkey),\n 58→FOREIGN KEY (username) REFERENCES user (username) ON DELETE CASCADE ON UPDATE NO ACTION);\n 59→\n 60→\n 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CURRENT_TIMESTAMP')\n 15→WHERE type = 'table'\n 16→ AND name = 'jobtag';\n 17→\n 18→PRAGMA writable_schema = off;\n 19→"}]},"uuid":"ce612740-3817-446a-aa74-57283d617c7b","timestamp":"2026-03-11T04:13:53.763Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"37756088-c905-4488-936a-3b1ee8fb77c1","timestamp":"2026-03-11T04:13:53.931Z"} 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The file has 1 lines."}]},"uuid":"cafa6e67-ce16-4278-a335-ffffb76a767e","timestamp":"2026-03-11T04:13:54.287Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"4b6fdda1-8d83-415a-a6e4-f3024e7b9042","timestamp":"2026-03-11T04:13:54.357Z"} +{"parentUuid":"4b6fdda1-8d83-415a-a6e4-f3024e7b9042","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:54.374Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01QnuM9W9cEoGegx5bg6DyWK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KsFWmqTLSS5hXAuU7Fp2yH","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/08_add-footprint.up.sql"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1659,"cache_read_input_tokens":16630,"cache_creation":{"ephemeral_5m_input_tokens":1659,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveE8Rw8kYDUt19zKGPL","uuid":"a4b08525-c70d-415d-b76e-521b657a75ce"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"a16c70c6-d378-411b-800b-435de93eb941","timestamp":"2026-03-11T04:13:54.374Z"} +{"parentUuid":"a16c70c6-d378-411b-800b-435de93eb941","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:54.386Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EeLzYD6LUYyD4YgzuNbqSD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RvP98KZx81eHtgWJkx6N4e","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38162,"cache_read_input_tokens":18468,"cache_creation":{"ephemeral_5m_input_tokens":38162,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEAnp8eTNCCsu2rzHN","uuid":"ce64efdc-0d10-4103-ba8e-925323ccc993"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"45ae75d8-f450-4875-832b-44a1b99f197f","timestamp":"2026-03-11T04:13:54.387Z"} +{"parentUuid":"45ae75d8-f450-4875-832b-44a1b99f197f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RvP98KZx81eHtgWJkx6N4e","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→\n 215→"}]},"uuid":"b01dfbdf-6576-40b3-a4f8-3502cdf511d4","timestamp":"2026-03-11T04:13:54.390Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"769f14ce-7818-4f87-8e42-d79598c5b4b8","timestamp":"2026-03-11T04:13:54.684Z"} +{"parentUuid":"769f14ce-7818-4f87-8e42-d79598c5b4b8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:54.686Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EeLzYD6LUYyD4YgzuNbqSD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EXvwShZUiTrQvjgQRSnzTc","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38162,"cache_read_input_tokens":18468,"cache_creation":{"ephemeral_5m_input_tokens":38162,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEAnp8eTNCCsu2rzHN","uuid":"ab449ce8-b9ae-4594-97e7-795affc817f9"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"eb8dddd2-a936-4851-bb5c-cad43cbddd7d","timestamp":"2026-03-11T04:13:54.686Z"} +{"parentUuid":"eb8dddd2-a936-4851-bb5c-cad43cbddd7d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EXvwShZUiTrQvjgQRSnzTc","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"8f17ca7b-a356-431a-9795-f5257da0d3b5","timestamp":"2026-03-11T04:13:54.698Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"49fb6213-4baf-40f8-8ae6-093b25e7c3f4","timestamp":"2026-03-11T04:13:54.877Z"} 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+{"parentUuid":"17079dfb-9f6c-4597-8494-2190f0d88f67","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KsFWmqTLSS5hXAuU7Fp2yH","type":"tool_result","content":" 1→DROP INDEX IF EXISTS job_stats;\n 2→DROP INDEX IF EXISTS job_by_user;\n 3→DROP INDEX IF EXISTS job_by_starttime;\n 4→DROP INDEX IF EXISTS job_by_job_id;\n 5→DROP INDEX IF EXISTS job_list;\n 6→DROP INDEX IF EXISTS job_list_user;\n 7→DROP INDEX IF EXISTS job_list_users;\n 8→DROP INDEX IF EXISTS job_list_users_start;\n 9→\n 10→ALTER TABLE job ADD COLUMN energy REAL NOT NULL DEFAULT 0.0;\n 11→ALTER TABLE job ADD COLUMN energy_footprint TEXT DEFAULT NULL;\n 12→\n 13→ALTER TABLE job ADD COLUMN footprint TEXT DEFAULT NULL;\n 14→ALTER TABLE tag ADD COLUMN tag_scope TEXT NOT NULL DEFAULT 'global';\n 15→\n 16→-- Do not use reserved keywords anymore\n 17→ALTER TABLE \"user\" RENAME TO hpc_user;\n 18→ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n 19→ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n 20→\n 21→UPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\n 22→UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\n 23→UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\n 24→UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\n 25→UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\n 26→UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\n 27→UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\n 28→UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\n 29→UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n 30→\n 31→ALTER TABLE job DROP flops_any_avg;\n 32→ALTER TABLE job DROP mem_bw_avg;\n 33→ALTER TABLE job DROP mem_used_max;\n 34→ALTER TABLE job DROP load_avg;\n 35→ALTER TABLE job DROP net_bw_avg;\n 36→ALTER TABLE job DROP net_data_vol_total;\n 37→ALTER TABLE job DROP file_bw_avg;\n 38→ALTER TABLE job DROP file_data_vol_total;\n 39→\n 40→-- Indices for: Single filters, combined filters, sorting, sorting with filters\n 41→-- Cluster Filter\n 42→CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\n 43→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 44→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 45→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 46→-- Cluster Filter Sorting\n 47→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\n 48→CREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\n 49→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 51→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 52→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 53→\n 54→-- Cluster+Partition Filter\n 55→CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n 56→-- Cluster+Partition Filter Sorting\n 57→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n 58→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n 59→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 60→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 61→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 62→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 63→\n 64→-- Cluster+Partition+Jobstate Filter\n 65→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n 67→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n 68→-- Cluster+Partition+Jobstate Filter Sorting\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n 70→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n 71→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n 72→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n 73→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n 74→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n 75→\n 76→-- Cluster+JobState Filter\n 77→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\n 78→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 79→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 80→-- Cluster+JobState Filter Sorting\n 81→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\n 83→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 84→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 86→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 87→\n 88→-- User Filter\n 89→CREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n 90→-- User Filter Sorting\n 91→CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\n 92→CREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\n 93→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 94→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 95→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 96→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 97→\n 98→-- Project Filter\n 99→CREATE INDEX IF NOT EXISTS jobs_project ON job (project);\n 100→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 101→-- Project Filter Sorting\n 102→CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\n 103→CREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\n 104→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 105→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 106→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 107→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 108→\n 109→-- JobState Filter\n 110→CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\n 111→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 112→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 113→CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n 114→-- JobState Filter Sorting\n 115→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\n 116→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\n 117→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 118→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 119→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 120→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 121→\n 122→-- ArrayJob Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 125→\n 126→-- Sorting without active filters\n 127→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 128→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 129→CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\n 130→CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\n 131→CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\n 132→CREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n 133→\n 134→-- Single filters with default starttime sorting\n 135→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 136→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 137→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 138→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 139→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 140→\n 141→-- Optimize DB index usage\n 142→PRAGMA optimize;\n 143→"}]},"uuid":"e4518329-f27c-4105-a839-f8f43af199f4","timestamp":"2026-03-11T04:13:54.386Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"b1fd0be7-66ee-4da8-8d08-c63affd7ef52","timestamp":"2026-03-11T04:13:54.989Z"} +{"parentUuid":"b1fd0be7-66ee-4da8-8d08-c63affd7ef52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:13:55.009Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EeLzYD6LUYyD4YgzuNbqSD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Er2KCQdp4jKnnfzYsLRdVY","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":38162,"cache_read_input_tokens":18468,"cache_creation":{"ephemeral_5m_input_tokens":38162,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEAnp8eTNCCsu2rzHN","uuid":"18a900c3-6343-44b7-917c-c076fff0e18d"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"632ae3b8-42e2-4323-8c2e-cceafc4d70f4","timestamp":"2026-03-11T04:13:55.009Z"} +{"parentUuid":"632ae3b8-42e2-4323-8c2e-cceafc4d70f4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MuBekkMpTkMAS1msienQRs","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).Query()\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRow()\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).Query()\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).Query()\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→"}]},"uuid":"5b449713-1f82-4320-a1c0-c9045cf8c1ce","timestamp":"2026-03-11T04:13:55.074Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"2f2eda58-80e7-4fe0-aeec-dc8105bb2ec1","timestamp":"2026-03-11T04:13:55.075Z"} +{"parentUuid":"2f2eda58-80e7-4fe0-aeec-dc8105bb2ec1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Er2KCQdp4jKnnfzYsLRdVY","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_01Er2KCQdp4jKnnfzYsLRdVY.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"c1232ee9-7d74-4b5f-9151-f2b778ae2510","timestamp":"2026-03-11T04:13:55.331Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"aae60841-8815-486b-981b-c4f656569275","timestamp":"2026-03-11T04:13:55.332Z"} 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+{"parentUuid":"16f36f6f-60dc-4a44-a672-9c75f224d59e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ky2Ha2RUpDKb9xJ1oa4BV","type":"tool_result","content":" 1→CREATE TABLE \"job_cache\" (\n 2→ id INTEGER PRIMARY KEY,\n 3→ job_id BIGINT NOT NULL,\n 4→ cluster VARCHAR(255) NOT NULL,\n 5→ subcluster VARCHAR(255) NOT NULL,\n 6→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 7→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 8→ hpc_user VARCHAR(255) NOT NULL,\n 9→ project VARCHAR(255) NOT NULL,\n 10→ cluster_partition VARCHAR(255),\n 11→ array_job_id BIGINT,\n 12→ duration INT NOT NULL,\n 13→ walltime INT NOT NULL,\n 14→ job_state VARCHAR(255) NOT NULL\n 15→ CHECK (job_state IN (\n 16→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 17→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 18→ 'preempted', 'running', 'suspended', 'timeout'\n 19→ )),\n 20→ meta_data TEXT, -- JSON\n 21→ resources TEXT NOT NULL, -- JSON\n 22→ num_nodes INT NOT NULL,\n 23→ num_hwthreads INT,\n 24→ num_acc INT,\n 25→ smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n 26→ shared TEXT NOT NULL\n 27→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 28→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 29→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 30→ energy REAL NOT NULL DEFAULT 0.0,\n 31→ energy_footprint TEXT DEFAULT NULL,\n 32→ footprint TEXT DEFAULT NULL,\n 33→ UNIQUE (job_id, cluster, start_time)\n 34→);\n 35→\n 36→CREATE TABLE \"job_new\" (\n 37→ id INTEGER PRIMARY KEY,\n 38→ job_id BIGINT NOT NULL,\n 39→ cluster TEXT NOT NULL,\n 40→ subcluster TEXT NOT NULL,\n 41→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 42→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 43→ hpc_user TEXT NOT NULL,\n 44→ project TEXT NOT NULL,\n 45→ cluster_partition TEXT,\n 46→ array_job_id BIGINT,\n 47→ duration INT NOT NULL,\n 48→ walltime INT NOT NULL,\n 49→ job_state TEXT NOT NULL\n 50→ CHECK (job_state IN (\n 51→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 52→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 53→ 'preempted', 'running', 'suspended', 'timeout'\n 54→ )),\n 55→ meta_data TEXT, -- JSON\n 56→ resources TEXT NOT NULL, -- JSON\n 57→ num_nodes INT NOT NULL,\n 58→ num_hwthreads INT,\n 59→ num_acc INT,\n 60→ smt INT NOT NULL DEFAULT 1,\n 61→ shared TEXT NOT NULL\n 62→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 63→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 64→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 65→ energy REAL NOT NULL DEFAULT 0.0,\n 66→ energy_footprint TEXT DEFAULT NULL,\n 67→ footprint TEXT DEFAULT NULL,\n 68→ UNIQUE (job_id, cluster, start_time)\n 69→);\n 70→\n 71→\n 72→CREATE TABLE IF NOT EXISTS lookup_exclusive (\n 73→ id INTEGER PRIMARY KEY,\n 74→ name TEXT NOT NULL UNIQUE\n 75→);\n 76→\n 77→INSERT INTO lookup_exclusive (id, name) VALUES\n 78→(0, 'multi_user'),\n 79→(1, 'none'),\n 80→(2, 'single_user');\n 81→\n 82→INSERT INTO job_new (\n 83→ id, job_id, cluster, subcluster, submit_time, start_time, hpc_user, project,\n 84→ cluster_partition, array_job_id, duration, walltime, job_state, meta_data, resources,\n 85→ num_nodes, num_hwthreads, num_acc, smt, shared, monitoring_status, energy,\n 86→ energy_footprint, footprint\n 87→) SELECT\n 88→ id,\n 89→ job_id,\n 90→ cluster,\n 91→ subcluster,\n 92→ 0,\n 93→ start_time,\n 94→ hpc_user,\n 95→ project,\n 96→ cluster_partition,\n 97→ array_job_id,\n 98→ duration,\n 99→ walltime,\n 100→ job_state,\n 101→ meta_data,\n 102→ resources,\n 103→ num_nodes,\n 104→ num_hwthreads,\n 105→ num_acc,\n 106→ smt,\n 107→ (\n 108→ SELECT name FROM lookup_exclusive\n 109→ WHERE id = job.exclusive\n 110→ ),\n 111→ monitoring_status,\n 112→ energy,\n 113→ energy_footprint,\n 114→ footprint\n 115→FROM job;\n 116→\n 117→DROP TABLE lookup_exclusive;\n 118→DROP TABLE job; -- Deletes All Existing 'job' Indices; Recreate after Renaming\n 119→ALTER TABLE job_new RENAME TO job;\n 120→\n 121→-- Recreate Indices from 08_add-footprint; include new 'shared' column\n 122→-- Cluster Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 125→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 126→-- Cluster Filter Sorting\n 127→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 128→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 129→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 130→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 131→\n 132→-- Cluster Time Filter Sorting\n 133→CREATE INDEX IF NOT EXISTS jobs_cluster_duration_starttime ON job (cluster, duration, start_time);\n 134→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime_duration ON job (cluster, start_time, duration);\n 135→\n 136→-- Cluster+Partition Filter\n 137→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_user ON job (cluster, cluster_partition, hpc_user);\n 138→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, cluster_partition, project);\n 139→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 140→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared);\n 141→\n 142→-- Cluster+Partition Filter Sorting\n 143→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 144→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 145→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 146→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 147→\n 148→-- Cluster+Partition Time Filter Sorting\n 149→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time);\n 150→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration);\n 151→\n 152→-- Cluster+JobState Filter\n 153→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 154→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 155→-- Cluster+JobState Filter Sorting\n 156→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 157→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 158→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 159→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 160→\n 161→-- Cluster+JobState Time Filter Sorting\n 162→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration);\n 163→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (cluster, job_state, duration, start_time);\n 164→\n 165→-- Cluster+Shared Filter\n 166→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user);\n 167→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project);\n 168→-- Cluster+Shared Filter Sorting\n 169→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\n 170→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\n 171→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\n 172→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n 173→\n 174→-- Cluster+Shared Time Filter Sorting\n 175→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration);\n 176→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time);\n 177→\n 178→-- User Filter\n 179→-- User Filter Sorting\n 180→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 181→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 182→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 183→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 184→\n 185→-- Cluster+Shared Time Filter Sorting\n 186→CREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration);\n 187→CREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time);\n 188→\n 189→-- Project Filter\n 190→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 191→-- Project Filter Sorting\n 192→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 193→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 194→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 195→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 196→\n 197→-- Cluster+Shared Time Filter Sorting\n 198→CREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration);\n 199→CREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, duration, start_time);\n 200→\n 201→-- JobState Filter\n 202→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 203→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 204→-- JobState Filter Sorting\n 205→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 206→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 207→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 208→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 209→\n 210→-- Cluster+Shared Time Filter Sorting\n 211→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration);\n 212→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, duration, start_time);\n 213→\n 214→-- Shared Filter\n 215→CREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user);\n 216→CREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project);\n 217→-- Shared Filter Sorting\n 218→CREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\n 219→CREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\n 220→CREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\n 221→CREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n 222→\n 223→-- Cluster+Shared Time Filter Sorting\n 224→CREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration);\n 225→CREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, duration, start_time);\n 226→\n 227→-- ArrayJob Filter\n 228→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 229→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 230→\n 231→-- Single filters with default starttime sorting\n 232→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 233→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 234→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 235→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 236→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 237→\n 238→-- Single filters with duration sorting\n 239→CREATE INDEX IF NOT EXISTS jobs_starttime_duration ON job (start_time, duration);\n 240→CREATE INDEX IF NOT EXISTS jobs_numnodes_duration ON job (num_nodes, duration);\n 241→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_duration ON job (num_hwthreads, duration);\n 242→CREATE INDEX IF NOT EXISTS jobs_numacc_duration ON job (num_acc, duration);\n 243→CREATE INDEX IF NOT EXISTS jobs_energy_duration ON job (energy, duration);\n 244→\n 245→-- Backup Indices For High Variety Columns\n 246→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 247→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 248→\n 249→-- Notes:\n 250→-- Cluster+Partition+Jobstate Filter: Tested -> Full Array Of Combinations non-required\n 251→-- Cluster+JobState+Shared Filter: Tested -> No further timing improvement\n 252→-- JobState+Shared Filter: Tested -> No further timing improvement\n 253→\n 254→-- Optimize DB index usage\n 255→PRAGMA optimize;\n 256→\n 257→-- Optimize DB size: https://sqlite.org/lang_vacuum.html \n 258→-- Not allowed within a migration transaction; Keep command here for documentation and recommendation\n 259→-- Command: 'VACUUM;'"}]},"uuid":"31ba2bb4-2250-4b2c-9bce-fe9c0aa97ab7","timestamp":"2026-03-11T04:13:55.448Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"da2ac96b-01fb-4c59-8833-e6cf53751df4","timestamp":"2026-03-11T04:13:55.479Z"} 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NULL\n 18→ CHECK (node_state IN (\n 19→ 'allocated', 'reserved', 'idle', 'mixed',\n 20→ 'down', 'unknown'\n 21→ )),\n 22→ health_state VARCHAR(255) NOT NULL\n 23→ CHECK (health_state IN (\n 24→ 'full', 'partial', 'failed'\n 25→ )),\n 26→ health_metrics TEXT, -- JSON array of strings\n 27→ node_id INTEGER,\n 28→ FOREIGN KEY (node_id) REFERENCES node (id)\n 29→);\n 30→\n 31→-- Add NEW Indices For New Node Table VARCHAR Fields\n 32→CREATE INDEX IF NOT EXISTS nodes_cluster ON node (cluster);\n 33→CREATE INDEX IF NOT EXISTS nodes_cluster_subcluster ON node (cluster, subcluster);\n 34→\n 35→-- Add NEW Indices For New Node_State Table Fields\n 36→CREATE INDEX IF NOT EXISTS nodestates_timestamp ON node_state (time_stamp);\n 37→CREATE INDEX IF NOT EXISTS nodestates_state_timestamp ON node_state (node_state, time_stamp);\n 38→CREATE INDEX IF NOT EXISTS nodestates_health_timestamp ON node_state (health_state, time_stamp);\n 39→CREATE INDEX IF NOT EXISTS nodestates_nodeid_state ON node_state (node_id, node_state);\n 40→CREATE INDEX IF NOT EXISTS nodestates_nodeid_health ON node_state (node_id, health_state);\n 41→CREATE INDEX IF NOT EXISTS nodestates_nodeid_timestamp ON node_state (node_id, time_stamp DESC);\n 42→\n 43→-- Add NEW Indices For Increased Amounts of Tags\n 44→CREATE INDEX IF NOT EXISTS tags_jobid ON jobtag (job_id);\n 45→CREATE INDEX IF NOT EXISTS tags_tagid ON jobtag (tag_id);\n 46→\n 47→-- Optimize DB index usage\n 48→PRAGMA optimize;"}]},"uuid":"be2b2fe0-98d2-4670-9937-d257322f7d7c","timestamp":"2026-03-11T04:13:56.098Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"e9ea498d-9172-401b-abde-a1501a9fcb88","timestamp":"2026-03-11T04:13:56.183Z"} 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files\ninternal/repository/node.go\npkg/archive/sqliteBackend.go\ninternal/routerConfig/routes.go\ninternal/repository/user.go\ninternal/repository/userConfig.go\ninternal/repository/stats.go\ninternal/repository/tags.go\ninternal/repository/jobQuery.go\ninternal/repository/jobCreate.go\ninternal/repository/jobFind.go\ninternal/repository/job.go\ninternal/metricstoreclient/cc-metric-store.go\ninternal/graph/schema.resolvers.go\ninternal/graph/generated/generated.go\ninternal/auth/jwtSession.go\ninternal/api/user.go\ninternal/api/log.go\ninternal/api/metricstore.go\ninternal/api/cluster.go\ninternal/api/job.go"}]},"uuid":"38f643d8-f911-4edc-a246-b09c1a2c2b01","timestamp":"2026-03-11T04:14:00.602Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"2124b469-ccab-487a-b825-f7381c71b798","timestamp":"2026-03-11T04:14:00.603Z"} +{"parentUuid":"2124b469-ccab-487a-b825-f7381c71b798","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xx35qN3wvyfAqY34Rsj55k","type":"tool_result","content":" 595→// or ErrNotFound if no matches are found.\n 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→\tif user == nil {\n 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→\t}\n 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}\n 620→\t\t\treturn results, nil\n 621→\t\t}\n 622→\t\treturn emptyResult, ErrNotFound\n 623→\n 624→\t} else {"}]},"uuid":"6e687286-3aa2-432a-9758-438d81690b54","timestamp":"2026-03-11T04:14:00.592Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"20227a17-da28-4aac-89e6-d92d9ebbc26e","timestamp":"2026-03-11T04:14:00.757Z"} +{"parentUuid":"20227a17-da28-4aac-89e6-d92d9ebbc26e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:00.758Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LBV2sRTDewD87JYXdaU4Nr","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":655,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"4ef67b14-659b-408a-ab43-6b170b0e4b55"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"906884de-0212-4a6e-9c12-b32f1861b7e5","timestamp":"2026-03-11T04:14:00.758Z"} +{"parentUuid":"906884de-0212-4a6e-9c12-b32f1861b7e5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LBV2sRTDewD87JYXdaU4Nr","type":"tool_result","content":" 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→// Hosts with zero jobs running on them will not show up!\n 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→\tstart := time.Now()\n 659→\tsubclusters := make(map[string]map[string]int)\n 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]"}]},"uuid":"4b57627b-a016-4f71-8c43-7341203c90a6","timestamp":"2026-03-11T04:14:00.768Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"6ab17100-a50d-4cb0-9cf6-e1808a06fb46","timestamp":"2026-03-11T04:14:00.968Z"} +{"parentUuid":"6ab17100-a50d-4cb0-9cf6-e1808a06fb46","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.183Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UFKtK7gRVDHtYdCqWHKpNH","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":745,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"c1e987c5-de1b-48ab-bba4-85d9493203f4"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"ca335c41-68b9-434c-a175-37608bef114c","timestamp":"2026-03-11T04:14:01.184Z"} +{"parentUuid":"ca335c41-68b9-434c-a175-37608bef114c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UFKtK7gRVDHtYdCqWHKpNH","type":"tool_result","content":" 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster."}]},"uuid":"ab207847-4408-46bb-a3a6-ae6a863b97ca","timestamp":"2026-03-11T04:14:01.203Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"49dbd448-8ea6-4cac-94c2-ac811f924882","timestamp":"2026-03-11T04:14:01.397Z"} +{"parentUuid":"49dbd448-8ea6-4cac-94c2-ac811f924882","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.398Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012xj6v55dY83T6o9hmdB5Cw","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":780,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"ea466696-5280-4822-8838-adf61884a810"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"e1f89df0-3995-4a6b-920d-cfd8eda33404","timestamp":"2026-03-11T04:14:01.399Z"} +{"parentUuid":"e1f89df0-3995-4a6b-920d-cfd8eda33404","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012xj6v55dY83T6o9hmdB5Cw","type":"tool_result","content":" 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs."}]},"uuid":"a8597ee2-1f44-467f-bf10-a996eaeb8c62","timestamp":"2026-03-11T04:14:01.418Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"ddb875cd-6650-4aca-b057-f0435f067130","timestamp":"2026-03-11T04:14:01.620Z"} +{"parentUuid":"ddb875cd-6650-4aca-b057-f0435f067130","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.850Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DGcxTpp8A7RkSf7VuXqnTB","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":855,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"b0080042-dad4-4f88-b645-98ffecc0277a"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"82b5fee9-a7df-45e0-a248-d297882da294","timestamp":"2026-03-11T04:14:01.850Z"} +{"parentUuid":"82b5fee9-a7df-45e0-a248-d297882da294","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.867Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YWjZf2CY7399wvXfVLC2j1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015b74yXFCq5J7LrWV8ZsvJq","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":361,"cache_read_input_tokens":30025,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEnPTBbMQ2Qi4mH7fe","uuid":"f84ebaa6-6471-4760-9eb7-5940ae421560"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"28f519aa-da6d-47f1-b04e-122f81abcd7c","timestamp":"2026-03-11T04:14:01.867Z"} +{"parentUuid":"28f519aa-da6d-47f1-b04e-122f81abcd7c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DGcxTpp8A7RkSf7VuXqnTB","type":"tool_result","content":" 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n 881→\treturn jobs, nil\n 882→}\n 883→\n 884→// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries."}]},"uuid":"eec466ce-4fd3-44b6-8829-df5fa58a51b3","timestamp":"2026-03-11T04:14:01.855Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"0875c997-01fa-4208-bbd6-7b2eeba68210","timestamp":"2026-03-11T04:14:01.965Z"} +{"parentUuid":"0875c997-01fa-4208-bbd6-7b2eeba68210","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:01.977Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AwYfEf1wA5sWH9GYcRVLC4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UXbUJt6mGt2CYh4GFNH8UM","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":1065,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":291,"cache_read_input_tokens":82299,"cache_creation":{"ephemeral_5m_input_tokens":291,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEcbqhZ989ZBvU1RqB","uuid":"48d2c9ec-3202-489d-9059-567f2e9e5c78"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"d3eb3197-01b8-4681-bfe8-7c5de19fd298","timestamp":"2026-03-11T04:14:01.977Z"} +{"parentUuid":"d3eb3197-01b8-4681-bfe8-7c5de19fd298","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UXbUJt6mGt2CYh4GFNH8UM","type":"tool_result","content":" 1065→func (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n 1066→\t// Note: Query expects index on (job_state, start_time) for optimal performance\n 1067→\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n 1068→\t\tWhere(\"job.start_time < ?\", ts).\n 1069→\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n 1070→\n 1071→\trows, err := q.RunWith(r.stmtCache).Query()\n 1072→\tif err != nil {\n 1073→\t\tqueryString, queryVars, _ := q.ToSql()\n 1074→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 1075→\t}\n 1076→\tdefer rows.Close()\n 1077→\n 1078→\t// Use a map of sets for efficient deduplication\n 1079→\tnodeSet := make(map[string]map[string]struct{})\n 1080→\n 1081→\tvar (\n 1082→\t\tcluster string\n 1083→\t\trawResources []byte\n 1084→\t\tresources []*schema.Resource\n 1085→\t\tskippedRows int\n 1086→\t)\n 1087→\n 1088→\tfor rows.Next() {\n 1089→\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n 1090→\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n 1091→\t\t\tskippedRows++\n 1092→\t\t\tcontinue\n 1093→\t\t}\n 1094→"}]},"uuid":"a4474e3e-36d5-42d3-9e6a-9008f2d33344","timestamp":"2026-03-11T04:14:01.984Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"d2f0d0ae-de58-48a9-8e94-f51a9d08eb86","timestamp":"2026-03-11T04:14:01.985Z"} +{"parentUuid":"d2f0d0ae-de58-48a9-8e94-f51a9d08eb86","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015b74yXFCq5J7LrWV8ZsvJq","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"3df4b246-1f3f-491d-b315-f9191501afc8","timestamp":"2026-03-11T04:14:01.871Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"01da0e58-2fa8-40fe-b622-de77560aed81","timestamp":"2026-03-11T04:14:02.134Z"} +{"parentUuid":"01da0e58-2fa8-40fe-b622-de77560aed81","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:02.136Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YWjZf2CY7399wvXfVLC2j1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012cV8R3d84uMKMeEVE7kZr6","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":361,"cache_read_input_tokens":30025,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEnPTBbMQ2Qi4mH7fe","uuid":"d2a6489e-ab33-4944-b909-e1a67c4640d3"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"e62b410f-e877-4b78-af86-6e00136ca136","timestamp":"2026-03-11T04:14:02.136Z"} +{"parentUuid":"e62b410f-e877-4b78-af86-6e00136ca136","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012cV8R3d84uMKMeEVE7kZr6","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"c39348aa-9083-4428-913d-5f2869eb8cbc","timestamp":"2026-03-11T04:14:02.149Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"1e69b3fd-2c69-4cd9-9abf-c75b3eaebc37","timestamp":"2026-03-11T04:14:02.150Z"} +{"parentUuid":"1e69b3fd-2c69-4cd9-9abf-c75b3eaebc37","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:14:02.174Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YWjZf2CY7399wvXfVLC2j1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JZRHZ3wCNuYNqNRq7LDYjE","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":361,"cache_read_input_tokens":30025,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveEnPTBbMQ2Qi4mH7fe","uuid":"c3e918e4-3e2b-431c-a688-23eec2ae4d51"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"bbd74ae0-8981-41d8-bf0c-25cc85d4f6d4","timestamp":"2026-03-11T04:14:02.174Z"} +{"parentUuid":"bbd74ae0-8981-41d8-bf0c-25cc85d4f6d4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JZRHZ3wCNuYNqNRq7LDYjE","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).Query()\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:\n 328→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 329→\t\t\treturn query\n 330→\t\t}\n 331→\t\treturn query.Where(field+\" >= ?\", then)\n 332→\t} else {\n 333→\t\treturn query\n 334→\t}\n 335→}\n 336→\n 337→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 338→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 339→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 340→\tif cond.From != 1.0 && cond.To != 0.0 {\n 341→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 342→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 343→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 344→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 345→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 346→\t} else {\n 347→\t\treturn query\n 348→\t}\n 349→}\n 350→\n 351→// buildStringCondition creates filters for string fields supporting equality,\n 352→// inequality, prefix, suffix, substring, and IN list matching.\n 353→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 354→\tif cond.Eq != nil {\n 355→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 356→\t}\n 357→\tif cond.Neq != nil {\n 358→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 359→\t}\n 360→\tif cond.StartsWith != nil {\n 361→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 362→\t}\n 363→\tif cond.EndsWith != nil {\n 364→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 365→\t}\n 366→\tif cond.Contains != nil {\n 367→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 368→\t}\n 369→\tif cond.In != nil {\n 370→\t\tqueryElements := make([]string, len(cond.In))\n 371→\t\tcopy(queryElements, cond.In)\n 372→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 373→\t}\n 374→\treturn query\n 375→}\n 376→\n 377→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 378→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 379→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 380→\tif cond.Eq != nil {\n 381→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 382→\t}\n 383→\tif cond.Neq != nil {\n 384→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 385→\t}\n 386→\tif cond.StartsWith != nil {\n 387→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 388→\t}\n 389→\tif cond.EndsWith != nil {\n 390→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 391→\t}\n 392→\tif cond.Contains != nil {\n 393→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 394→\t}\n 395→\treturn query\n 396→}\n 397→\n 398→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 399→// Uses json_each to search within array elements.\n 400→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 401→\tquery = query.Where(\"JSON_VALID(resources)\")\n 402→\tif cond.Eq != nil {\n 403→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 404→\t}\n 405→\tif cond.Neq != nil { // Currently Unused\n 406→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 407→\t}\n 408→\tif cond.StartsWith != nil { // Currently Unused\n 409→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 410→\t}\n 411→\tif cond.EndsWith != nil { // Currently Unused\n 412→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 413→\t}\n 414→\tif cond.Contains != nil {\n 415→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 416→\t}\n 417→\treturn query\n 418→}\n 419→\n 420→var (\n 421→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 422→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 423→)\n 424→\n 425→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 426→// Includes security checks to prevent SQL injection attempts.\n 427→// Panics if potentially dangerous characters are detected.\n 428→func toSnakeCase(str string) string {\n 429→\tfor _, c := range str {\n 430→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 431→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 432→\t\t}\n 433→\t}\n 434→\n 435→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 436→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 437→\treturn strings.ToLower(snake)\n 438→}\n 439→"}]},"uuid":"9ae17797-e901-4976-839e-d2c38d30337d","timestamp":"2026-03-11T04:14:02.178Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"1d355ba9-9272-4521-ae1d-afb680c5eaa6","timestamp":"2026-03-11T04:14:02.184Z"} 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+{"parentUuid":"55da956f-c480-4958-b451-73086eb603f6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SMJYRRS5rhERReKTPvfQ4Y","type":"tool_result","content":" 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)"}]},"uuid":"2a600f6d-a129-46ca-8154-bb416b88b2cb","timestamp":"2026-03-11T04:14:05.066Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"3cc4c876-cd47-41f8-92ff-61309e64910f","timestamp":"2026-03-11T04:14:05.071Z"} 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+{"parentUuid":"f3cca726-1b92-463a-92da-1f10bae4174b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DEATum5DKqc5t7VKZUfzjC","type":"tool_result","content":" 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//"}]},"uuid":"89922332-3328-409a-9bfe-6c1ddb3457ef","timestamp":"2026-03-11T04:14:10.098Z"},"type":"agent_progress","prompt":"","agentId":"ac117836bd0f6ef48"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","uuid":"f026d878-c7bb-4f0f-9277-0e34850ec789","timestamp":"2026-03-11T04:14:10.100Z"} +{"parentUuid":"f026d878-c7bb-4f0f-9277-0e34850ec789","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","toolUseID":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","timestamp":"2026-03-11T04:14:16.681Z","uuid":"f04cac7f-ac8c-4fdf-8cc7-58e0ec8113b7"} +{"parentUuid":"c3361e4b-5df7-46eb-b020-0a86629777c1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jxn2s3xxSZTFPV5ERN3Fuq","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Report: Missing defer rows.Close() Calls\n\nAfter thoroughly searching all `.Query()` and `.Queryx()` calls in `/Users/jan/prg/CC/cc-backend/internal/repository/`, I found **ONE** missing `defer close` statement:\n\n### Missing defer close:\n\n**File:** `/Users/jan/prg/CC/cc-backend/internal/repository/user.go` \n**Line:** 100 \n**Function:** `GetLdapUsernames()` \n**Issue:** `rows` is opened with `r.DB.Query()` but never closed. There is no `defer rows.Close()` statement anywhere in the function (lines 100-117). The function loops through rows but returns without closing them.\n\n```go\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\t// Missing: defer rows.Close()\n\t\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\t\tusers = append(users, username)\n\t}\n\t\n\treturn users, nil\n}\n```\n\n### Summary of Checked Calls:\n\nAll other `.Query()` and `.Queryx()` calls in the repository properly have `defer rows.Close()` or `defer xrows.Close()` within a few lines:\n\n- **node.go:** 7 Query() calls - All properly closed (287, 363, 416, 504, 533, 567, 627)\n- **jobQuery.go:** 1 Query() call - Properly closed (87)\n- **tags.go:** 5 calls (4 Query() + 1 Queryx()) - All properly closed (282, 338, 514, 552, 595)\n- **user.go:** 1 Query() call - **MISSING CLOSE (100)**; 1 other call properly closed (278)\n- **userConfig.go:** 1 Query() call - Properly closed (68)\n- **jobCreate.go:** 1 Query() call - Properly closed (78)\n- **jobFind.go:** 5 Query() calls - All properly closed (106, 139, 291, 319 x2)\n- **stats.go:** 7 Query() calls - All properly closed (233, 443, 504, 758, 832, 962)\n- **job.go:** 7 Query() calls - All properly closed (427, 605, 663, 751, 787, 863, 1071)\n\nThis is a resource leak that should be fixed immediately, as database connections obtained via `.Query()` must always be explicitly closed to prevent connection pool exhaustion."},{"type":"text","text":"agentId: ac117836bd0f6ef48 (for resuming to continue this agent's work if needed)\ntotal_tokens: 88147\ntool_uses: 20\nduration_ms: 30502"}]}]},"uuid":"80e99585-4e9e-4594-943d-e97db0d4e420","timestamp":"2026-03-11T04:14:16.680Z","toolUseResult":{"status":"completed","prompt":"Search the entire repository under /Users/jan/prg/CC/cc-backend/internal/repository/ for ALL `.Query()` calls (including `.Queryx()`). For each one found, check if there is a `defer rows.Close()` (or `defer xrows.Close()`) within a few lines after it. Report any that are MISSING the defer close. Also check for any `.Query()` calls where the result is used but never closed at all.\n\nBe thorough - check every .go file in the repository directory. Report file, line number, and the function name for each missing close.","agentId":"ac117836bd0f6ef48","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Report: Missing defer rows.Close() Calls\n\nAfter thoroughly searching all `.Query()` and `.Queryx()` calls in `/Users/jan/prg/CC/cc-backend/internal/repository/`, I found **ONE** missing `defer close` statement:\n\n### Missing defer close:\n\n**File:** `/Users/jan/prg/CC/cc-backend/internal/repository/user.go` \n**Line:** 100 \n**Function:** `GetLdapUsernames()` \n**Issue:** `rows` is opened with `r.DB.Query()` but never closed. There is no `defer rows.Close()` statement anywhere in the function (lines 100-117). The function loops through rows but returns without closing them.\n\n```go\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\t// Missing: defer rows.Close()\n\t\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\t\tusers = append(users, username)\n\t}\n\t\n\treturn users, nil\n}\n```\n\n### Summary of Checked Calls:\n\nAll other `.Query()` and `.Queryx()` calls in the repository properly have `defer rows.Close()` or `defer xrows.Close()` within a few lines:\n\n- **node.go:** 7 Query() calls - All properly closed (287, 363, 416, 504, 533, 567, 627)\n- **jobQuery.go:** 1 Query() call - Properly closed (87)\n- **tags.go:** 5 calls (4 Query() + 1 Queryx()) - All properly closed (282, 338, 514, 552, 595)\n- **user.go:** 1 Query() call - **MISSING CLOSE (100)**; 1 other call properly closed (278)\n- **userConfig.go:** 1 Query() call - Properly closed (68)\n- **jobCreate.go:** 1 Query() call - Properly closed (78)\n- **jobFind.go:** 5 Query() calls - All properly closed (106, 139, 291, 319 x2)\n- **stats.go:** 7 Query() calls - All properly closed (233, 443, 504, 758, 832, 962)\n- **job.go:** 7 Query() calls - All properly closed (427, 605, 663, 751, 787, 863, 1071)\n\nThis is a resource leak that should be fixed immediately, as database connections obtained via `.Query()` must always be explicitly closed to prevent connection pool exhaustion."}],"totalDurationMs":30502,"totalTokens":88147,"totalToolUseCount":20,"usage":{"input_tokens":2,"cache_creation_input_tokens":465,"cache_read_input_tokens":86936,"output_tokens":744,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":465},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"c3361e4b-5df7-46eb-b020-0a86629777c1"} +{"parentUuid":"80e99585-4e9e-4594-943d-e97db0d4e420","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01945vPcRSCKDygAQ8VpGqpo","type":"tool_result","content":"internal/repository/job.go:427:\t\trows, err := selectQuery.RunWith(r.DB).Query()\ninternal/repository/job.go:605:\t\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:663:\t\tRunWith(r.stmtCache).Query()\ninternal/repository/job.go:751:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:787:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:863:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/job.go:1071:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/jobCreate.go:78:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:106:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:139:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:291:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/jobFind.go:319:\trows, err = queryRunning.RunWith(r.stmtCache).Query()\ninternal/repository/jobQuery.go:87:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:287:\t\tRunWith(r.DB).Query()\ninternal/repository/node.go:363:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:416:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:504:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:533:\trows, err := q.RunWith(r.DB).Query()\ninternal/repository/node.go:567:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/node.go:627:\trows, err := query.RunWith(r.stmtCache).Query()\ninternal/repository/stats.go:233:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:443:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:504:\trows, err := query.RunWith(r.DB).Query()\ninternal/repository/stats.go:758:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:832:\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\ninternal/repository/stats.go:962:\trows, err := mainQuery.RunWith(r.DB).Query()\ninternal/repository/tags.go:338:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:514:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:552:\trows, err := q.RunWith(r.stmtCache).Query()\ninternal/repository/tags.go:595:\trows, err := q.RunWith(r.stmtCache).Query()","is_error":false}]},"uuid":"02079add-f83a-4cd6-8bd0-bc159a15c369","timestamp":"2026-03-11T04:15:19.414Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"7e3f9416-4855-442d-a875-386678496b46","timestamp":"2026-03-11T04:15:19.415Z"} 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[]NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err"}]},"uuid":"d7388099-e556-4b86-8af3-1ea1218a0965","timestamp":"2026-03-11T04:15:21.190Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"3c594501-fe3f-4fb0-889e-ff78c6ee6fc7","timestamp":"2026-03-11T04:15:21.398Z"} 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+{"parentUuid":"ce41a0eb-19b1-421c-b94a-6542ccef9892","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SV6F4QguVSTA4wpr9puRnZ","type":"tool_result","content":" 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}"}]},"uuid":"088dd191-4a09-4cef-a586-1fc2a8c90257","timestamp":"2026-03-11T04:15:21.418Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"5fd538f1-7fd8-4441-8008-49f5aebbed1d","timestamp":"2026-03-11T04:15:21.599Z"} 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+{"parentUuid":"57709dbd-8013-49cb-a660-025904d0e2bf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N8FhWwh3aMRs42S4ZGTnZ9","type":"tool_result","content":" 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {"}]},"uuid":"ef5ea5de-dc15-4583-a062-9580c27694b7","timestamp":"2026-03-11T04:15:21.722Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"e087eeed-3bbc-4ca1-ab1c-fefc3c18f81a","timestamp":"2026-03-11T04:15:21.822Z"} +{"parentUuid":"e087eeed-3bbc-4ca1-ab1c-fefc3c18f81a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:15:24.702Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CYwYxFj2UGcRu3m54vLPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013c5XiFEkii6sdaHpM7HNBV","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":595,"limit":35},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1490,"cache_read_input_tokens":55160,"cache_creation":{"ephemeral_5m_input_tokens":1490,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveLmfxSGyoEvuFhUcpr","uuid":"8066f18f-eb1e-4f5c-b8f0-92257986399b"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"71c5ff8f-b364-4bed-b477-d30295bd4e17","timestamp":"2026-03-11T04:15:24.702Z"} +{"parentUuid":"71c5ff8f-b364-4bed-b477-d30295bd4e17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013c5XiFEkii6sdaHpM7HNBV","type":"tool_result","content":" 595→// or ErrNotFound if no matches are found.\n 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→\tif user == nil {\n 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→\t}\n 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}\n 620→\t\t\treturn results, nil\n 621→\t\t}\n 622→\t\treturn emptyResult, ErrNotFound\n 623→\n 624→\t} else {\n 625→\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n 626→\t\treturn emptyResult, ErrForbidden\n 627→\t}\n 628→}\n 629→"}]},"uuid":"8802235e-6d54-4098-9ba0-76903aeb913f","timestamp":"2026-03-11T04:15:24.708Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"14a20f67-db50-4223-830e-6bf212754a1b","timestamp":"2026-03-11T04:15:24.753Z"} +{"parentUuid":"14a20f67-db50-4223-830e-6bf212754a1b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-11T04:15:26.538Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SD79U9NcssGrYzi6kipTJ8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01429nv8m6ZXgXryPduXwZs2","name":"Bash","input":{"command":"git diff internal/repository/node.go internal/repository/stats.go internal/repository/tags.go","description":"Check git diff for modified repository files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":855,"cache_read_input_tokens":56650,"cache_creation":{"ephemeral_5m_input_tokens":855,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYveLzE1xEwtCDcaugnUE","uuid":"b9b39c88-a011-4924-928d-34d5b7da90ad"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"8a47d563-d8e0-4389-aeec-2f489a94b680","timestamp":"2026-03-11T04:15:26.539Z"} +{"parentUuid":"8a47d563-d8e0-4389-aeec-2f489a94b680","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01429nv8m6ZXgXryPduXwZs2","type":"tool_result","content":"","is_error":false}]},"uuid":"ecca5c9d-2e89-4fa2-a465-4e2ec3ce6c34","timestamp":"2026-03-11T04:15:26.592Z"},"type":"agent_progress","prompt":"","agentId":"a7b417d75bd07c822"},"toolUseID":"agent_msg_01XAhjZ5auRR2Xcwv9xUURDX","parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","uuid":"d0c59835-025e-41ad-bb91-bb1031fb4242","timestamp":"2026-03-11T04:15:26.592Z"} +{"parentUuid":"d0c59835-025e-41ad-bb91-bb1031fb4242","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","toolUseID":"toolu_014DwjD4CYK5HxpUYGgGmVAy","timestamp":"2026-03-11T04:15:42.844Z","uuid":"9f4270b8-406c-44b5-94d8-9b97add2dbc9"} +{"parentUuid":"43e2b0d9-7514-4e1f-a562-e90e75ff1eed","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014DwjD4CYK5HxpUYGgGmVAy","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me compile my findings:\n\n## Database Index Definitions Report\n\n### Summary of Index Definitions\n\nI've analyzed all migration files in `/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/`. Here are the comprehensive findings:\n\n---\n\n### **Indexes on the `job` Table**\n\n#### **Initial Indexes (02_add-index.up.sql):**\n1. `job_stats` - (cluster, subcluster, hpc_user)\n2. `job_by_user` - (hpc_user)\n3. `job_by_starttime` - (start_time)\n4. `job_by_job_id` - (job_id, cluster, start_time)\n5. `job_list` - (cluster, job_state)\n6. `job_list_user` - (hpc_user, cluster, job_state)\n7. `job_list_users` - (hpc_user, job_state)\n8. `job_list_users_start` - (start_time, hpc_user, job_state)\n\n#### **Comprehensive Indexes Added in Migration 08 (08_add-footprint.up.sql):**\nThe migration dropped old indexes and created a much more extensive set of 80+ indexes organized by filter type:\n\n**Cluster Filter:**\n- `jobs_cluster` - (cluster)\n- `jobs_cluster_user` - (cluster, hpc_user)\n- `jobs_cluster_project` - (cluster, project)\n- `jobs_cluster_subcluster` - (cluster, subcluster)\n\n**Cluster Filter with Sorting:**\n- `jobs_cluster_starttime` - (cluster, start_time)\n- `jobs_cluster_duration` - (cluster, duration)\n- `jobs_cluster_numnodes` - (cluster, num_nodes)\n- `jobs_cluster_numhwthreads` - (cluster, num_hwthreads)\n- `jobs_cluster_numacc` - (cluster, num_acc)\n- `jobs_cluster_energy` - (cluster, energy)\n\n**Cluster + JobState Filter:**\n- `jobs_cluster_jobstate` - (cluster, job_state)\n- `jobs_cluster_jobstate_user` - (cluster, job_state, hpc_user)\n- `jobs_cluster_jobstate_project` - (cluster, job_state, project)\n\n**Cluster + JobState Filter Sorting:**\n- `jobs_cluster_jobstate_starttime` - (cluster, job_state, start_time)\n- `jobs_cluster_jobstate_duration` - (cluster, job_state, duration)\n- `jobs_cluster_jobstate_numnodes` - (cluster, job_state, num_nodes)\n- `jobs_cluster_jobstate_numhwthreads` - (cluster, job_state, num_hwthreads)\n- `jobs_cluster_jobstate_numacc` - (cluster, job_state, num_acc)\n- `jobs_cluster_jobstate_energy` - (cluster, job_state, energy)\n\n**JobState Filter:**\n- `jobs_jobstate` - (job_state)\n- `jobs_jobstate_user` - (job_state, hpc_user)\n- `jobs_jobstate_project` - (job_state, project)\n- `jobs_jobstate_cluster` - (job_state, cluster)\n\n**JobState Filter Sorting:**\n- `jobs_jobstate_starttime` - (job_state, start_time)\n- `jobs_jobstate_duration` - (job_state, duration)\n- `jobs_jobstate_numnodes` - (job_state, num_nodes)\n- `jobs_jobstate_numhwthreads` - (job_state, num_hwthreads)\n- `jobs_jobstate_numacc` - (job_state, num_acc)\n- `jobs_jobstate_energy` - (job_state, energy)\n\n**User Filter and Sorting:**\n- `jobs_user` - (hpc_user)\n- `jobs_user_starttime` - (hpc_user, start_time)\n- `jobs_user_duration` - (hpc_user, duration)\n- `jobs_user_numnodes` - (hpc_user, num_nodes)\n- `jobs_user_numhwthreads` - (hpc_user, num_hwthreads)\n- `jobs_user_numacc` - (hpc_user, num_acc)\n- `jobs_user_energy` - (hpc_user, energy)\n\n**ArrayJob Filter:**\n- `jobs_arrayjobid_starttime` - (array_job_id, start_time)\n- `jobs_cluster_arrayjobid_starttime` - (cluster, array_job_id, start_time)\n\n**Standalone Sorting Indexes:**\n- `jobs_starttime` - (start_time)\n- `jobs_duration` - (duration)\n- `jobs_numnodes` - (num_nodes)\n- `jobs_numhwthreads` - (num_hwthreads)\n- `jobs_numacc` - (num_acc)\n- `jobs_energy` - (energy)\n\nAnd many more cluster+partition combinations...\n\n#### **Migration 09 (09_add-job-cache.up.sql) - Further Refinements:**\nCreated additional indexes including time-based sorting combinations:\n- `jobs_cluster_duration_starttime` - (cluster, duration, start_time)\n- `jobs_cluster_starttime_duration` - (cluster, start_time, duration)\n- `jobs_user_starttime_duration` - (hpc_user, start_time, duration)\n- `jobs_user_duration_starttime` - (hpc_user, duration, start_time)\n- `jobs_cluster_jobstate_starttime_duration` - (cluster, job_state, start_time, duration)\n\n---\n\n### **Direct Answer to Your Questions:**\n\n1. **Is there an index on `job_state`?** \n - **YES** - Multiple indexes include `job_state`:\n - `jobs_jobstate` - (job_state) - single column\n - `jobs_cluster_jobstate` - (cluster, job_state)\n - And many composite indexes with job_state as leading or subsequent columns\n\n2. **Is there an index on `start_time`?**\n - **YES** - Multiple indexes include `start_time`:\n - `jobs_starttime` - (start_time) - single column\n - `job_by_starttime` - (start_time) - from initial migration\n - And many composite indexes with start_time\n\n3. **Is there a composite index on `(job_state, start_time)`?**\n - **YES** - `jobs_jobstate_starttime` - (job_state, start_time) - explicitly created for this combination\n\n---\n\n### **Node State Indexes (Migration 10):**\n- `nodes_cluster` - (cluster)\n- `nodes_cluster_subcluster` - (cluster, subcluster)\n- `nodestates_timestamp` - (time_stamp)\n- `nodestates_state_timestamp` - (node_state, time_stamp)\n- `nodestates_health_timestamp` - (health_state, time_stamp)\n- `nodestates_nodeid_state` - (node_id, node_state)\n- `nodestates_nodeid_health` - (node_id, health_state)\n- `nodestates_nodeid_timestamp` - (node_id, time_stamp DESC)\n\n### **Tag Indexes (Migration 10):**\n- `tags_jobid` - (job_id) on jobtag table\n- `tags_tagid` - (tag_id) on jobtag table\n\n---\n\n## `rows.Close()` Analysis\n\nI reviewed all `.Query()` calls in the repository files. Here are my findings:\n\n### **All `Query()` calls have proper `defer rows.Close()`:**\n\n**Files checked:**\n- `internal/repository/job.go` - All 8 Query() calls have defer rows.Close()\n- `internal/repository/jobFind.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/jobQuery.go` - Query() call has defer rows.Close()\n- `internal/repository/jobCreate.go` - Query() call has defer rows.Close()\n- `internal/repository/tags.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/node.go` - All Query() calls have defer rows.Close()\n- `internal/repository/stats.go` - All Query() calls have defer rows.Close()\n\n**Note:** In `job.go` (line 603-610), there's a conditional defer in `FindColumnValues()`:\n```go\nrows, err := ...Query()\nif err != nil && err != sql.ErrNoRows {\n return emptyResult, fmt.Errorf(...)\n} else if err == nil {\n defer rows.Close() // Conditional defer - only called when err is nil\n // process rows\n}\n```\nThis is safe because `defer rows.Close()` is only executed when the error is nil (i.e., when rows is valid).\n\n### **FindJobIdsByTag Function:**\nLocated at `/Users/jan/prg/CC/cc-backend/internal/repository/job.go:747`\n\nThe function properly uses:\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n return nil, fmt.Errorf(...)\n}\ndefer rows.Close() // ✓ Properly deferred\n```\n\n---\n\n## Summary\n\n**All database resources are properly managed.** No missing `rows.Close()` calls were found. The codebase follows Go best practices by using `defer` statements to ensure row sets are closed even if errors occur during iteration.\n\nThe database schema includes extensive indexes optimized for filtering and sorting by cluster, job_state, start_time, and user—including the specific composite index `(job_state, start_time)` for efficient queries combining these conditions."},{"type":"text","text":"agentId: a7b417d75bd07c822 (for resuming to continue this agent's work if needed)\ntotal_tokens: 60120\ntool_uses: 26\nduration_ms: 112747"}]}]},"uuid":"f1fecc74-12f7-481d-b004-ff9199a1ca15","timestamp":"2026-03-11T04:15:42.843Z","toolUseResult":{"status":"completed","prompt":"In /Users/jan/prg/CC/cc-backend, find all database index definitions. Look in:\n1. Migration files under `internal/repository/migrations/sqlite3/` - read all of them\n2. Any CREATE INDEX statements anywhere in .go or .sql files\n3. The initial schema creation code\n\nI need to understand what indexes exist on the `job` table, specifically:\n- Is there an index on `job_state`?\n- Is there an index on `start_time`?\n- Is there a composite index on `(job_state, start_time)`?\n\nAlso look at the `FindJobIdsByTag` function and any other query functions that use `.Query()` to check for missing `rows.Close()`.\n\nReport all index definitions you find and which columns they cover.","agentId":"a7b417d75bd07c822","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me compile my findings:\n\n## Database Index Definitions Report\n\n### Summary of Index Definitions\n\nI've analyzed all migration files in `/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/`. Here are the comprehensive findings:\n\n---\n\n### **Indexes on the `job` Table**\n\n#### **Initial Indexes (02_add-index.up.sql):**\n1. `job_stats` - (cluster, subcluster, hpc_user)\n2. `job_by_user` - (hpc_user)\n3. `job_by_starttime` - (start_time)\n4. `job_by_job_id` - (job_id, cluster, start_time)\n5. `job_list` - (cluster, job_state)\n6. `job_list_user` - (hpc_user, cluster, job_state)\n7. `job_list_users` - (hpc_user, job_state)\n8. `job_list_users_start` - (start_time, hpc_user, job_state)\n\n#### **Comprehensive Indexes Added in Migration 08 (08_add-footprint.up.sql):**\nThe migration dropped old indexes and created a much more extensive set of 80+ indexes organized by filter type:\n\n**Cluster Filter:**\n- `jobs_cluster` - (cluster)\n- `jobs_cluster_user` - (cluster, hpc_user)\n- `jobs_cluster_project` - (cluster, project)\n- `jobs_cluster_subcluster` - (cluster, subcluster)\n\n**Cluster Filter with Sorting:**\n- `jobs_cluster_starttime` - (cluster, start_time)\n- `jobs_cluster_duration` - (cluster, duration)\n- `jobs_cluster_numnodes` - (cluster, num_nodes)\n- `jobs_cluster_numhwthreads` - (cluster, num_hwthreads)\n- `jobs_cluster_numacc` - (cluster, num_acc)\n- `jobs_cluster_energy` - (cluster, energy)\n\n**Cluster + JobState Filter:**\n- `jobs_cluster_jobstate` - (cluster, job_state)\n- `jobs_cluster_jobstate_user` - (cluster, job_state, hpc_user)\n- `jobs_cluster_jobstate_project` - (cluster, job_state, project)\n\n**Cluster + JobState Filter Sorting:**\n- `jobs_cluster_jobstate_starttime` - (cluster, job_state, start_time)\n- `jobs_cluster_jobstate_duration` - (cluster, job_state, duration)\n- `jobs_cluster_jobstate_numnodes` - (cluster, job_state, num_nodes)\n- `jobs_cluster_jobstate_numhwthreads` - (cluster, job_state, num_hwthreads)\n- `jobs_cluster_jobstate_numacc` - (cluster, job_state, num_acc)\n- `jobs_cluster_jobstate_energy` - (cluster, job_state, energy)\n\n**JobState Filter:**\n- `jobs_jobstate` - (job_state)\n- `jobs_jobstate_user` - (job_state, hpc_user)\n- `jobs_jobstate_project` - (job_state, project)\n- `jobs_jobstate_cluster` - (job_state, cluster)\n\n**JobState Filter Sorting:**\n- `jobs_jobstate_starttime` - (job_state, start_time)\n- `jobs_jobstate_duration` - (job_state, duration)\n- `jobs_jobstate_numnodes` - (job_state, num_nodes)\n- `jobs_jobstate_numhwthreads` - (job_state, num_hwthreads)\n- `jobs_jobstate_numacc` - (job_state, num_acc)\n- `jobs_jobstate_energy` - (job_state, energy)\n\n**User Filter and Sorting:**\n- `jobs_user` - (hpc_user)\n- `jobs_user_starttime` - (hpc_user, start_time)\n- `jobs_user_duration` - (hpc_user, duration)\n- `jobs_user_numnodes` - (hpc_user, num_nodes)\n- `jobs_user_numhwthreads` - (hpc_user, num_hwthreads)\n- `jobs_user_numacc` - (hpc_user, num_acc)\n- `jobs_user_energy` - (hpc_user, energy)\n\n**ArrayJob Filter:**\n- `jobs_arrayjobid_starttime` - (array_job_id, start_time)\n- `jobs_cluster_arrayjobid_starttime` - (cluster, array_job_id, start_time)\n\n**Standalone Sorting Indexes:**\n- `jobs_starttime` - (start_time)\n- `jobs_duration` - (duration)\n- `jobs_numnodes` - (num_nodes)\n- `jobs_numhwthreads` - (num_hwthreads)\n- `jobs_numacc` - (num_acc)\n- `jobs_energy` - (energy)\n\nAnd many more cluster+partition combinations...\n\n#### **Migration 09 (09_add-job-cache.up.sql) - Further Refinements:**\nCreated additional indexes including time-based sorting combinations:\n- `jobs_cluster_duration_starttime` - (cluster, duration, start_time)\n- `jobs_cluster_starttime_duration` - (cluster, start_time, duration)\n- `jobs_user_starttime_duration` - (hpc_user, start_time, duration)\n- `jobs_user_duration_starttime` - (hpc_user, duration, start_time)\n- `jobs_cluster_jobstate_starttime_duration` - (cluster, job_state, start_time, duration)\n\n---\n\n### **Direct Answer to Your Questions:**\n\n1. **Is there an index on `job_state`?** \n - **YES** - Multiple indexes include `job_state`:\n - `jobs_jobstate` - (job_state) - single column\n - `jobs_cluster_jobstate` - (cluster, job_state)\n - And many composite indexes with job_state as leading or subsequent columns\n\n2. **Is there an index on `start_time`?**\n - **YES** - Multiple indexes include `start_time`:\n - `jobs_starttime` - (start_time) - single column\n - `job_by_starttime` - (start_time) - from initial migration\n - And many composite indexes with start_time\n\n3. **Is there a composite index on `(job_state, start_time)`?**\n - **YES** - `jobs_jobstate_starttime` - (job_state, start_time) - explicitly created for this combination\n\n---\n\n### **Node State Indexes (Migration 10):**\n- `nodes_cluster` - (cluster)\n- `nodes_cluster_subcluster` - (cluster, subcluster)\n- `nodestates_timestamp` - (time_stamp)\n- `nodestates_state_timestamp` - (node_state, time_stamp)\n- `nodestates_health_timestamp` - (health_state, time_stamp)\n- `nodestates_nodeid_state` - (node_id, node_state)\n- `nodestates_nodeid_health` - (node_id, health_state)\n- `nodestates_nodeid_timestamp` - (node_id, time_stamp DESC)\n\n### **Tag Indexes (Migration 10):**\n- `tags_jobid` - (job_id) on jobtag table\n- `tags_tagid` - (tag_id) on jobtag table\n\n---\n\n## `rows.Close()` Analysis\n\nI reviewed all `.Query()` calls in the repository files. Here are my findings:\n\n### **All `Query()` calls have proper `defer rows.Close()`:**\n\n**Files checked:**\n- `internal/repository/job.go` - All 8 Query() calls have defer rows.Close()\n- `internal/repository/jobFind.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/jobQuery.go` - Query() call has defer rows.Close()\n- `internal/repository/jobCreate.go` - Query() call has defer rows.Close()\n- `internal/repository/tags.go` - All 4 Query() calls have defer rows.Close()\n- `internal/repository/node.go` - All Query() calls have defer rows.Close()\n- `internal/repository/stats.go` - All Query() calls have defer rows.Close()\n\n**Note:** In `job.go` (line 603-610), there's a conditional defer in `FindColumnValues()`:\n```go\nrows, err := ...Query()\nif err != nil && err != sql.ErrNoRows {\n return emptyResult, fmt.Errorf(...)\n} else if err == nil {\n defer rows.Close() // Conditional defer - only called when err is nil\n // process rows\n}\n```\nThis is safe because `defer rows.Close()` is only executed when the error is nil (i.e., when rows is valid).\n\n### **FindJobIdsByTag Function:**\nLocated at `/Users/jan/prg/CC/cc-backend/internal/repository/job.go:747`\n\nThe function properly uses:\n```go\nrows, err := query.RunWith(r.stmtCache).Query()\nif err != nil {\n return nil, fmt.Errorf(...)\n}\ndefer rows.Close() // ✓ Properly deferred\n```\n\n---\n\n## Summary\n\n**All database resources are properly managed.** No missing `rows.Close()` calls were found. 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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4117},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"8f374025-f7e5-4bd7-bc8b-5c96cdbb174b","timestamp":"2026-03-11T04:17:16.768Z"} +{"parentUuid":"8f374025-f7e5-4bd7-bc8b-5c96cdbb174b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01S3uL8krvXrWpaoo6EkhAr4","type":"message","role":"assistant","content":[{"type":"text","text":"Good findings. One leak in `user.go:GetLdapUsernames()`. Now let me look at `job.go` for more issues and understand the index problem."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4117},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"120de10b-840c-4397-a082-5c3ad615e27b","timestamp":"2026-03-11T04:17:18.523Z"} +{"parentUuid":"120de10b-840c-4397-a082-5c3ad615e27b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01S3uL8krvXrWpaoo6EkhAr4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019eLTNpQUeQPCzxYPeZZjdg","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4117},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"7780c272-3321-453b-ae44-46c9dede3090","timestamp":"2026-03-11T04:17:19.077Z"} +{"parentUuid":"7780c272-3321-453b-ae44-46c9dede3090","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01S3uL8krvXrWpaoo6EkhAr4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SpUgdLtipT6jmWLCSyReLJ","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4117,"cache_read_input_tokens":79491,"output_tokens":4105,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4117,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveNLwEGt19xcnUxv9LZ","type":"assistant","uuid":"3099dc9a-92c2-40c0-b19b-96deb73a753b","timestamp":"2026-03-11T04:17:19.260Z"} +{"parentUuid":"3099dc9a-92c2-40c0-b19b-96deb73a753b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SpUgdLtipT6jmWLCSyReLJ","toolUseID":"toolu_01SpUgdLtipT6jmWLCSyReLJ","timestamp":"2026-03-11T04:17:19.290Z","uuid":"51256850-68d9-4bb3-9c8e-6e45c58f61d8"} +{"parentUuid":"3099dc9a-92c2-40c0-b19b-96deb73a753b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpUgdLtipT6jmWLCSyReLJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\n 106→\tfor rows.Next() {\n 107→\t\tvar username string\n 108→\t\tif err := rows.Scan(&username); err != nil {\n 109→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 110→\t\t\treturn nil, err\n 111→\t\t}\n 112→\n 113→\t\tusers = append(users, username)\n 114→\t}\n 115→\n 116→\treturn users, nil\n 117→}\n 118→\n 119→// AddUser creates a new user in the database.\n 120→// Passwords are automatically hashed with bcrypt before storage.\n 121→// Auth source determines authentication method (local, LDAP, etc.).\n 122→//\n 123→// Required fields: Username, Roles\n 124→// Optional fields: Name, Email, Password, Projects, AuthSource\n 125→func (r *UserRepository) AddUser(user *schema.User) error {\n 126→\trolesJson, _ := json.Marshal(user.Roles)\n 127→\tprojectsJson, _ := json.Marshal(user.Projects)\n 128→\n 129→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 130→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 131→\n 132→\tif user.Name != \"\" {\n 133→\t\tcols = append(cols, \"name\")\n 134→\t\tvals = append(vals, user.Name)\n 135→\t}\n 136→\tif user.Email != \"\" {\n 137→\t\tcols = append(cols, \"email\")\n 138→\t\tvals = append(vals, user.Email)\n 139→\t}\n 140→\tif user.Password != \"\" {\n 141→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 142→\t\tif err != nil {\n 143→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 144→\t\t\treturn err\n 145→\t\t}\n 146→\t\tcols = append(cols, \"password\")\n 147→\t\tvals = append(vals, string(password))\n 148→\t}\n 149→\tif user.AuthSource != -1 {\n 150→\t\tcols = append(cols, \"ldap\")\n 151→\t\tvals = append(vals, int(user.AuthSource))\n 152→\t}\n 153→\n 154→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 155→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 156→\t\treturn err\n 157→\t}\n 158→\n 159→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 160→\n 161→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 162→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 163→\tif err != nil {\n 164→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 165→\t} else if defaultMetricsCfg != nil {\n 166→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 167→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 168→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 169→\t\t\tif err != nil {\n 170→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 171→\t\t\t\tcontinue\n 172→\t\t\t}\n 173→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 174→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 175→\t\t\tif _, err := sq.Insert(\"configuration\").\n 176→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 177→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 178→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 180→\t\t\t} else {\n 181→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 182→\t\t\t}\n 183→\t\t}\n 184→\t}\n 185→\t// END DEPRECATION\n 186→\n 187→\treturn nil\n 188→}\n 189→\n 190→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 191→\t// user contains updated info -> Apply to dbUser\n 192→\t// --- Simple Name Update ---\n 193→\tif dbUser.Name != user.Name {\n 194→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 195→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 196→\t\t\treturn err\n 197→\t\t}\n 198→\t}\n 199→\n 200→\t// --- Def Helpers ---\n 201→\t// Helper to update roles\n 202→\tupdateRoles := func(roles []string) error {\n 203→\t\trolesJSON, _ := json.Marshal(roles)\n 204→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 205→\t\treturn err\n 206→\t}\n 207→\n 208→\t// Helper to update projects\n 209→\tupdateProjects := func(projects []string) error {\n 210→\t\tprojectsJSON, _ := json.Marshal(projects)\n 211→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 212→\t\treturn err\n 213→\t}\n 214→\n 215→\t// Helper to clear projects\n 216→\tclearProjects := func() error {\n 217→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 218→\t\treturn err\n 219→\t}\n 220→\n 221→\t// --- Manager Role Handling ---\n 222→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 223→\t\t// Existing Manager: update projects\n 224→\t\tif err := updateProjects(user.Projects); err != nil {\n 225→\t\t\treturn err\n 226→\t\t}\n 227→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 228→\t\t// New Manager: update roles and projects\n 229→\t\tif err := updateRoles(user.Roles); err != nil {\n 230→\t\t\treturn err\n 231→\t\t}\n 232→\t\tif err := updateProjects(user.Projects); err != nil {\n 233→\t\t\treturn err\n 234→\t\t}\n 235→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 236→\t\t// Remove Manager: update roles and clear projects\n 237→\t\tif err := updateRoles(user.Roles); err != nil {\n 238→\t\t\treturn err\n 239→\t\t}\n 240→\t\tif err := clearProjects(); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t}\n 244→\n 245→\t// --- Support Role Handling ---\n 246→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 247→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 248→\t\t// New Support: update roles\n 249→\t\tif err := updateRoles(user.Roles); err != nil {\n 250→\t\t\treturn err\n 251→\t\t}\n 252→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 253→\t\t// Remove Support: update roles\n 254→\t\tif err := updateRoles(user.Roles); err != nil {\n 255→\t\t\treturn err\n 256→\t\t}\n 257→\t}\n 258→\n 259→\treturn nil\n 260→}\n 261→\n 262→func (r *UserRepository) DelUser(username string) error {\n 263→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 264→\tif err != nil {\n 265→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 266→\t\treturn err\n 267→\t}\n 268→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 269→\treturn nil\n 270→}\n 271→\n 272→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 273→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 274→\tif specialsOnly {\n 275→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 276→\t}\n 277→\n 278→\trows, err := q.RunWith(r.DB).Query()\n 279→\tif err != nil {\n 280→\t\tcclog.Warn(\"Error while querying user list\")\n 281→\t\treturn nil, err\n 282→\t}\n 283→\n 284→\tusers := make([]*schema.User, 0)\n 285→\tdefer rows.Close()\n 286→\tfor rows.Next() {\n 287→\t\trawroles := \"\"\n 288→\t\trawprojects := \"\"\n 289→\t\tuser := &schema.User{}\n 290→\t\tvar name, email sql.NullString\n 291→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 292→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 293→\t\t\treturn nil, err\n 294→\t\t}\n 295→\n 296→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 297→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 298→\t\t\treturn nil, err\n 299→\t\t}\n 300→\n 301→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\n 305→\t\tuser.Name = name.String\n 306→\t\tuser.Email = email.String\n 307→\t\tusers = append(users, user)\n 308→\t}\n 309→\treturn users, nil\n 310→}\n 311→\n 312→// AddRole adds a role to a user's role list.\n 313→// Role string is automatically lowercased.\n 314→// Valid roles: admin, support, manager, api, user\n 315→//\n 316→// Returns error if:\n 317→// - User doesn't exist\n 318→// - Role is invalid\n 319→// - User already has the role\n 320→func (r *UserRepository) AddRole(\n 321→\tctx context.Context,\n 322→\tusername string,\n 323→\tqueryrole string,\n 324→) error {\n 325→\tnewRole := strings.ToLower(queryrole)\n 326→\tuser, err := r.GetUser(username)\n 327→\tif err != nil {\n 328→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 329→\t\treturn err\n 330→\t}\n 331→\n 332→\texists, valid := user.HasValidRole(newRole)\n 333→\n 334→\tif !valid {\n 335→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 336→\t}\n 337→\tif exists {\n 338→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 339→\t}\n 340→\n 341→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 342→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 343→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 344→\t\treturn err\n 345→\t}\n 346→\treturn nil\n 347→}\n 348→\n 349→// RemoveRole removes a role from a user's role list.\n 350→//\n 351→// Special rules:\n 352→// - Cannot remove \"manager\" role while user has assigned projects\n 353→// - Must remove all projects first before removing manager role\n 354→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 355→\toldRole := strings.ToLower(queryrole)\n 356→\tuser, err := r.GetUser(username)\n 357→\tif err != nil {\n 358→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\texists, valid := user.HasValidRole(oldRole)\n 363→\n 364→\tif !valid {\n 365→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 366→\t}\n 367→\tif !exists {\n 368→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 369→\t}\n 370→\n 371→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 372→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 373→\t}\n 374→\n 375→\tvar newroles []string\n 376→\tfor _, r := range user.Roles {\n 377→\t\tif r != oldRole {\n 378→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 379→\t\t}\n 380→\t}\n 381→\n 382→\tmroles, _ := json.Marshal(newroles)\n 383→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 384→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 385→\t\treturn err\n 386→\t}\n 387→\treturn nil\n 388→}\n 389→\n 390→// AddProject assigns a project to a manager user.\n 391→// Only users with the \"manager\" role can have assigned projects.\n 392→//\n 393→// Returns error if:\n 394→// - User doesn't have manager role\n 395→// - User already manages the project\n 396→func (r *UserRepository) AddProject(\n 397→\tctx context.Context,\n 398→\tusername string,\n 399→\tproject string,\n 400→) error {\n 401→\tuser, err := r.GetUser(username)\n 402→\tif err != nil {\n 403→\t\treturn err\n 404→\t}\n 405→\n 406→\tif !user.HasRole(schema.RoleManager) {\n 407→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 408→\t}\n 409→\n 410→\tif user.HasProject(project) {\n 411→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 412→\t}\n 413→\n 414→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 415→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 416→\t\treturn err\n 417→\t}\n 418→\n 419→\treturn nil\n 420→}\n 421→\n 422→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 423→\tuser, err := r.GetUser(username)\n 424→\tif err != nil {\n 425→\t\treturn err\n 426→\t}\n 427→\n 428→\tif !user.HasRole(schema.RoleManager) {\n 429→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 430→\t}\n 431→\n 432→\tif !user.HasProject(project) {\n 433→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 434→\t}\n 435→\n 436→\tvar exists bool\n 437→\tvar newprojects []string\n 438→\tfor _, p := range user.Projects {\n 439→\t\tif p != project {\n 440→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 441→\t\t} else {\n 442→\t\t\texists = true\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif exists {\n 447→\t\tvar result any\n 448→\t\tif len(newprojects) == 0 {\n 449→\t\t\tresult = \"[]\"\n 450→\t\t} else {\n 451→\t\t\tresult, _ = json.Marshal(newprojects)\n 452→\t\t}\n 453→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 454→\t\t\treturn err\n 455→\t\t}\n 456→\t\treturn nil\n 457→\t} else {\n 458→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 459→\t}\n 460→}\n 461→\n 462→type ContextKey string\n 463→\n 464→const ContextUserKey ContextKey = \"user\"\n 465→\n 466→func GetUserFromContext(ctx context.Context) *schema.User {\n 467→\tx := ctx.Value(ContextUserKey)\n 468→\tif x == nil {\n 469→\t\tcclog.Warnf(\"no user retrieved from context\")\n 470→\t\treturn nil\n 471→\t}\n 472→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 473→\treturn x.(*schema.User)\n 474→}\n 475→\n 476→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 477→\tme := GetUserFromContext(ctx)\n 478→\tif me != nil && me.Username != username &&\n 479→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 480→\t\treturn nil, errors.New(\"forbidden\")\n 481→\t}\n 482→\n 483→\tuser := &model.User{Username: username}\n 484→\tvar name, email sql.NullString\n 485→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 486→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 487→\t\tif err == sql.ErrNoRows {\n 488→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 489→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 490→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 491→\t\t\treturn nil, nil\n 492→\t\t}\n 493→\n 494→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 495→\t\treturn nil, err\n 496→\t}\n 497→\n 498→\tuser.Name = name.String\n 499→\tuser.Email = email.String\n 500→\treturn user, nil\n 501→}\n 502→"}]},"uuid":"e52ccb30-8308-4e39-86d2-3ffcea41e8de","timestamp":"2026-03-11T04:17:19.289Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":502,"startLine":1,"totalLines":502}},"sourceToolAssistantUUID":"3099dc9a-92c2-40c0-b19b-96deb73a753b"} +{"parentUuid":"e52ccb30-8308-4e39-86d2-3ffcea41e8de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019eLTNpQUeQPCzxYPeZZjdg","toolUseID":"toolu_019eLTNpQUeQPCzxYPeZZjdg","timestamp":"2026-03-11T04:17:19.305Z","uuid":"b59ee0ab-86e4-4e9a-ae5a-e05ffd749fe2"} +{"parentUuid":"7780c272-3321-453b-ae44-46c9dede3090","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019eLTNpQUeQPCzxYPeZZjdg","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_019eLTNpQUeQPCzxYPeZZjdg.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"70aefdab-897d-4f81-94eb-0a8415b9a9d1","timestamp":"2026-03-11T04:17:19.305Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n// - JobRepository: Job lifecycle management and querying\n// - UserRepository: User management and authentication\n// - NodeRepository: Cluster node state tracking\n// - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB *sqlx.DB // Database connection pool\n\tstmtCache *sq.StmtCache // Prepared statement cache for query optimization\n\tcache *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver string // Database driver name (e.g., \"sqlite3\")\n\tMutex sync.Mutex // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n// - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n// - job: Job struct with valid ID, existing metadata will be fetched if not present\n// - key: Metadata key to set\n// - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n// - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n// - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n// - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n// 1. If searchterm is numeric, treat as job ID (returned immediately)\n// 2. Try exact match in job.hpc_user column (username)\n// 3. Try LIKE match in hpc_user.name column (real name)\n// 4. Try exact match in job.project column (project ID)\n// 5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n// - user: Authenticated user context, required for database access\n// - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - searchterm: Value to search for (exact match or LIKE pattern)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n// - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - query: Search pattern (always uses LIKE with wildcards)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n// - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n// - monitoring_status: MonitoringStatusArchivingFailed\n// - duration: 0\n// - job_state: JobStateFailed\n//\n// Parameters:\n// - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n// - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n// - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n// - startTimeEnd: Unix timestamp for range end\n// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n// - job: Database ID of the job to update\n// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n// - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n// - stmt: Existing UpdateBuilder to modify\n// - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n// - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t// / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster string\n\t\trawResources []byte\n\t\tresources []*schema.Resource\n\t\tskippedRows int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range 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583→ 583→// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n 584→ 584→// Similar to FindColumnValue but returns all matching values instead of just the first.\n 585→ 585→// Only users with admin, support, or manager roles can execute this query.\n 586→ 586→//\n 587→ 587→// Parameters:\n 588→ 588→// - user: User context for authorization check\n 589→ 589→// - query: Search pattern (always uses LIKE with wildcards)\n 590→ 590→// - table: Database table name to query\n 591→ 591→// - selectColumn: Column name to return in results\n 592→ 592→// - whereColumn: Column name to filter on\n 593→ 593→//\n 594→ 594→// Returns a slice of matching values, ErrForbidden if user lacks permission,\n 595→ 595→// or ErrNotFound if no matches are found.\n 596→ 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→ 597→\tif user == nil {\n 598→ 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→ 599→\t}\n 600→ 600→\n 601→ 601→\temptyResult := make([]string, 0)\n 602→ 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→ 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→ 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→ 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→ 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→ 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→ 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→ 609→\t\t} else if err == nil {\n 610→ 610→\t\t\tdefer rows.Close()\n 611→ 611→\t\t\tfor rows.Next() {\n 612→ 612→\t\t\t\tvar result string\n 613→ 613→\t\t\t\terr := rows.Scan(&result)\n 614→ 614→\t\t\t\tif err != nil {\n 615→ 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→ 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→ 617→\t\t\t\t}\n 618→ 618→\t\t\t\tresults = append(results, result)\n 619→ 619→\t\t\t}\n 620→ 620→\t\t\treturn results, nil\n 621→ 621→\t\t}\n 622→ 622→\t\treturn emptyResult, ErrNotFound\n 623→ 623→\n 624→ 624→\t} else {\n 625→ 625→\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n 626→ 626→\t\treturn emptyResult, ErrForbidden\n 627→ 627→\t}\n 628→ 628→}\n 629→ 629→\n 630→ 630→// Partitions returns a list of distinct cluster partitions for a given cluster.\n 631→ 631→// Results are cached with a 1-hour TTL to improve performance.\n 632→ 632→//\n 633→ 633→// Parameters:\n 634→ 634→// - cluster: Cluster name to query partitions for\n 635→ 635→//\n 636→ 636→// Returns a slice of partition names or an error if the database query fails.\n 637→ 637→func (r *JobRepository) Partitions(cluster string) ([]string, error) {\n 638→ 638→\tvar err error\n 639→ 639→\tstart := time.Now()\n 640→ 640→\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n 641→ 641→\t\tparts := []string{}\n 642→ 642→\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n 643→ 643→\t\t\treturn nil, 0, 1000\n 644→ 644→\t\t}\n 645→ 645→\n 646→ 646→\t\treturn parts, 1 * time.Hour, 1\n 647→ 647→\t})\n 648→ 648→\tif err != nil {\n 649→ 649→\t\treturn nil, err\n 650→ 650→\t}\n 651→ 651→\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n 652→ 652→\treturn partitions.([]string), nil\n 653→ 653→}\n 654→ 654→\n 655→ 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→ 656→// Hosts with zero jobs running on them will not show up!\n 657→ 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→ 658→\tstart := time.Now()\n 659→ 659→\tsubclusters := make(map[string]map[string]int)\n 660→ 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→ 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→ 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→ 663→\t\tRunWith(r.stmtCache).Query()\n 664→ 664→\tif err != nil {\n 665→ 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→ 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→ 667→\t}\n 668→ 668→\n 669→ 669→\tvar raw []byte\n 670→ 670→\tdefer rows.Close()\n 671→ 671→\tfor rows.Next() {\n 672→ 672→\t\traw = raw[0:0]\n 673→ 673→\t\tvar resources []*schema.Resource\n 674→ 674→\t\tvar subcluster string\n 675→ 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→ 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→ 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→ 678→\t\t}\n 679→ 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→ 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→ 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→ 682→\t\t}\n 683→ 683→\n 684→ 684→\t\thosts, ok := subclusters[subcluster]\n 685→ 685→\t\tif !ok {\n 686→ 686→\t\t\thosts = make(map[string]int)\n 687→ 687→\t\t\tsubclusters[subcluster] = hosts\n 688→ 688→\t\t}\n 689→ 689→\n 690→ 690→\t\tfor _, resource := range resources {\n 691→ 691→\t\t\thosts[resource.Hostname] += 1\n 692→ 692→\t\t}\n 693→ 693→\t}\n 694→ 694→\n 695→ 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→ 696→\treturn subclusters, nil\n 697→ 697→}\n 698→ 698→\n 699→ 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→ 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→ 701→//\n 702→ 702→// Jobs are marked with:\n 703→ 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→ 704→// - duration: 0\n 705→ 705→// - job_state: JobStateFailed\n 706→ 706→//\n 707→ 707→// Parameters:\n 708→ 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→ 709→//\n 710→ 710→// Returns an error if the database update fails.\n 711→ 711→// Logs the number of jobs marked as failed if any were affected.\n 712→ 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→ 713→\tstart := time.Now()\n 714→ 714→\tcurrentTime := time.Now().Unix()\n 715→ 715→\tres, err := sq.Update(\"job\").\n 716→ 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→ 717→\t\tSet(\"duration\", 0).\n 718→ 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→ 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→ 720→\t\tWhere(\"job.walltime > 0\").\n 721→ 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→ 722→\t\tRunWith(r.DB).Exec()\n 723→ 723→\tif err != nil {\n 724→ 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→ 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→ 726→\t}\n 727→ 727→\n 728→ 728→\trowsAffected, err := res.RowsAffected()\n 729→ 729→\tif err != nil {\n 730→ 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→ 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→ 732→\t}\n 733→ 733→\n 734→ 734→\tif rowsAffected > 0 {\n 735→ 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→ 736→\t}\n 737→ 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→ 738→\treturn nil\n 739→ 739→}\n 740→ 740→\n 741→ 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→ 742→//\n 743→ 743→// Parameters:\n 744→ 744→// - tagID: Database ID of the tag to search for\n 745→ 745→//\n 746→ 746→// Returns a slice of job IDs or an error if the query fails.\n 747→ 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→ 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→ 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→ 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→ 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→ 752→\tif err != nil {\n 753→ 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→ 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→ 755→\t}\n 756→ 756→\tdefer rows.Close()\n 757→ 757→\n 758→ 758→\tjobIds := make([]int64, 0, 100)\n 759→ 759→\n 760→ 760→\tfor rows.Next() {\n 761→ 761→\t\tvar jobID int64\n 762→ 762→\n 763→ 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→ 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→ 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→ 766→\t\t}\n 767→ 767→\n 768→ 768→\t\tjobIds = append(jobIds, jobID)\n 769→ 769→\t}\n 770→ 770→\n 771→ 771→\treturn jobIds, nil\n 772→ 772→}\n 773→ 773→\n 774→ 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→ 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→ 776→//\n 777→ 777→// Parameters:\n 778→ 778→// - cluster: Cluster name to filter jobs\n 779→ 779→//"}]},"uuid":"28e90906-92af-4bda-8e4b-87740b48db1a","timestamp":"2026-03-11T04:17:28.707Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_019eLTNpQUeQPCzxYPeZZjdg.txt","content":" 580→\t}\n 581→}\n 582→\n 583→// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n 584→// Similar to FindColumnValue but returns all matching values instead of just the first.\n 585→// Only users with admin, support, or manager roles can execute this query.\n 586→//\n 587→// Parameters:\n 588→// - user: User context for authorization check\n 589→// - query: Search pattern (always uses LIKE with wildcards)\n 590→// - table: Database table name to query\n 591→// - selectColumn: Column name to return in results\n 592→// - whereColumn: Column name to filter on\n 593→//\n 594→// Returns a slice of matching values, ErrForbidden if user lacks permission,\n 595→// or ErrNotFound if no matches are found.\n 596→func (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n 597→\tif user == nil {\n 598→\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n 599→\t}\n 600→\n 601→\temptyResult := make([]string, 0)\n 602→\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 603→\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n 604→\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n 605→\t\t\tRunWith(r.stmtCache).Query()\n 606→\t\tif err != nil && err != sql.ErrNoRows {\n 607→\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n 608→\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n 609→\t\t} else if err == nil {\n 610→\t\t\tdefer rows.Close()\n 611→\t\t\tfor rows.Next() {\n 612→\t\t\t\tvar result string\n 613→\t\t\t\terr := rows.Scan(&result)\n 614→\t\t\t\tif err != nil {\n 615→\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n 616→\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n 617→\t\t\t\t}\n 618→\t\t\t\tresults = append(results, result)\n 619→\t\t\t}\n 620→\t\t\treturn results, nil\n 621→\t\t}\n 622→\t\treturn emptyResult, ErrNotFound\n 623→\n 624→\t} else {\n 625→\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n 626→\t\treturn emptyResult, ErrForbidden\n 627→\t}\n 628→}\n 629→\n 630→// Partitions returns a list of distinct cluster partitions for a given cluster.\n 631→// Results are cached with a 1-hour TTL to improve performance.\n 632→//\n 633→// Parameters:\n 634→// - cluster: Cluster name to query partitions for\n 635→//\n 636→// Returns a slice of partition names or an error if the database query fails.\n 637→func (r *JobRepository) Partitions(cluster string) ([]string, error) {\n 638→\tvar err error\n 639→\tstart := time.Now()\n 640→\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n 641→\t\tparts := []string{}\n 642→\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n 643→\t\t\treturn nil, 0, 1000\n 644→\t\t}\n 645→\n 646→\t\treturn parts, 1 * time.Hour, 1\n 647→\t})\n 648→\tif err != nil {\n 649→\t\treturn nil, err\n 650→\t}\n 651→\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n 652→\treturn partitions.([]string), nil\n 653→}\n 654→\n 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→// Hosts with zero jobs running on them will not show up!\n 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→\tstart := time.Now()\n 659→\tsubclusters := make(map[string]map[string]int)\n 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]\n 685→\t\tif !ok {\n 686→\t\t\thosts = make(map[string]int)\n 687→\t\t\tsubclusters[subcluster] = hosts\n 688→\t\t}\n 689→\n 690→\t\tfor _, resource := range resources {\n 691→\t\t\thosts[resource.Hostname] += 1\n 692→\t\t}\n 693→\t}\n 694→\n 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→\treturn subclusters, nil\n 697→}\n 698→\n 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//","numLines":200,"startLine":580,"totalLines":1137}},"sourceToolAssistantUUID":"df63d00e-6ec8-4889-b4e2-ade5936b6bc1"} 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currently running jobs for a specific cluster.\n 775→ 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→ 776→//\n 777→ 777→// Parameters:\n 778→ 778→// - cluster: Cluster name to filter jobs\n 779→ 779→//\n 780→ 780→// Returns a slice of running job objects or an error if the query fails.\n 781→ 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→ 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→ 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→ 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→ 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→ 786→\n 787→ 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→ 788→\tif err != nil {\n 789→ 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→ 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→ 791→\t}\n 792→ 792→\tdefer rows.Close()\n 793→ 793→\n 794→ 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→ 795→\tfor rows.Next() {\n 796→ 796→\t\tjob, err := scanJob(rows)\n 797→ 797→\t\tif err != nil {\n 798→ 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→ 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→ 800→\t\t}\n 801→ 801→\t\tjobs = append(jobs, job)\n 802→ 802→\t}\n 803→ 803→\n 804→ 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→ 805→\treturn jobs, nil\n 806→ 806→}\n 807→ 807→\n 808→ 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→ 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→ 810→//\n 811→ 811→// Duration is calculated as: current_time - job.start_time\n 812→ 812→//\n 813→ 813→// Returns an error if the database update fails.\n 814→ 814→func (r *JobRepository) UpdateDuration() error {\n 815→ 815→\tstmnt := sq.Update(\"job\").\n 816→ 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→ 817→\t\tWhere(\"job_state = 'running'\")\n 818→ 818→\n 819→ 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→ 820→\tif err != nil {\n 821→ 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→ 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→ 823→\t}\n 824→ 824→\n 825→ 825→\treturn nil\n 826→ 826→}\n 827→ 827→\n 828→ 828→// FindJobsBetween returns jobs within a specified time range.\n 829→ 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→ 830→// Optionally excludes tagged jobs from results.\n 831→ 831→//\n 832→ 832→// Parameters:\n 833→ 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→ 834→// - startTimeEnd: Unix timestamp for range end\n 835→ 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→ 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→ 837→//\n 838→ 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→ 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→ 840→\tvar query sq.SelectBuilder\n 841→ 841→\n 842→ 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→ 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→ 844→\t}\n 845→ 845→\n 846→ 846→\tif startTimeBegin == 0 {\n 847→ 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→ 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→ 849→\t} else {\n 850→ 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→ 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→ 852→\t}\n 853→ 853→\n 854→ 854→\tswitch omitTagged {\n 855→ 855→\tcase \"all\":\n 856→ 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→ 857→\tcase \"user\":\n 858→ 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→ 859→\t}\n 860→ 860→\n 861→ 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→ 862→\n 863→ 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→ 864→\tif err != nil {\n 865→ 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→ 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→ 867→\t}\n 868→ 868→\tdefer rows.Close()\n 869→ 869→\n 870→ 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→ 871→\tfor rows.Next() {\n 872→ 872→\t\tjob, err := scanJob(rows)\n 873→ 873→\t\tif err != nil {\n 874→ 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→ 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→ 876→\t\t}\n 877→ 877→\t\tjobs = append(jobs, job)\n 878→ 878→\t}\n 879→ 879→\n 880→ 880→\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n 881→ 881→\treturn jobs, nil\n 882→ 882→}\n 883→ 883→\n 884→ 884→// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n 885→ 885→// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n 886→ 886→//\n 887→ 887→// Parameters:\n 888→ 888→// - job: Database ID of the job to update\n 889→ 889→// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n 890→ 890→//\n 891→ 891→// Returns an error if the database update fails.\n 892→ 892→func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n 893→ 893→\t// Invalidate cache entries as monitoring status affects job state\n 894→ 894→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n 895→ 895→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n 896→ 896→\n 897→ 897→\tstmt := sq.Update(\"job\").\n 898→ 898→\t\tSet(\"monitoring_status\", monitoringStatus).\n 899→ 899→\t\tWhere(\"job.id = ?\", job)\n 900→ 900→\n 901→ 901→\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 902→ 902→\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n 903→ 903→\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n 904→ 904→\t}\n 905→ 905→\treturn nil\n 906→ 906→}\n 907→ 907→\n 908→ 908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n 909→ 909→// This is a generic helper for executing pre-built update queries.\n 910→ 910→//\n 911→ 911→// Parameters:\n 912→ 912→// - stmt: Squirrel UpdateBuilder with prepared update query\n 913→ 913→//\n 914→ 914→// Returns an error if the execution fails.\n 915→ 915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n 916→ 916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 917→ 917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n 918→ 918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n 919→ 919→\t}\n 920→ 920→\n 921→ 921→\treturn nil\n 922→ 922→}\n 923→ 923→\n 924→ 924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n 925→ 925→// This is a builder helper used when constructing multi-field update queries.\n 926→ 926→//\n 927→ 927→// Parameters:\n 928→ 928→// - stmt: Existing UpdateBuilder to modify\n 929→ 929→// - monitoringStatus: Monitoring status value to set\n 930→ 930→//\n 931→ 931→// Returns the modified UpdateBuilder for method chaining.\n 932→ 932→func (r *JobRepository) MarkArchived(\n 933→ 933→\tstmt sq.UpdateBuilder,\n 934→ 934→\tmonitoringStatus int32,\n 935→ 935→) sq.UpdateBuilder {\n 936→ 936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n 937→ 937→}\n 938→ 938→\n 939→ 939→// UpdateEnergy calculates and updates the energy consumption for a job.\n 940→ 940→// This is called for running jobs during intermediate updates or when archiving.\n 941→ 941→//\n 942→ 942→// Energy calculation formula:\n 943→ 943→// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n 944→ 944→// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n 945→ 945→//\n 946→ 946→// The calculation accounts for:\n 947→ 947→// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n 948→ 948→// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n 949→ 949→// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n 950→ 950→// - Rounding: Results rounded to 2 decimal places\n 951→ 951→func (r *JobRepository) UpdateEnergy(\n 952→ 952→\tstmt sq.UpdateBuilder,\n 953→ 953→\tjobMeta *schema.Job,\n 954→ 954→) (sq.UpdateBuilder, error) {\n 955→ 955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n 956→ 956→\tif err != nil {\n 957→ 957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 958→ 958→\t\treturn stmt, err\n 959→ 959→\t}\n 960→ 960→\tenergyFootprint := make(map[string]float64)\n 961→ 961→\n 962→ 962→\t// Accumulate total energy across all energy-related metrics\n 963→ 963→\ttotalEnergy := 0.0\n 964→ 964→\tfor _, fp := range sc.EnergyFootprint {\n 965→ 965→\t\t// Calculate energy for this specific metric\n 966→ 966→\t\tmetricEnergy := 0.0\n 967→ 967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n 968→ 968→\t\t\tswitch sc.MetricConfig[i].Energy {\n 969→ 969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n 970→ 970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n 971→ 971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n 972→ 972→\t\t\tcase \"power\": // Metric in power units (Watts)\n 973→ 973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000"}]},"uuid":"25fd726c-b1a8-485a-8cb5-8cba0159b690","timestamp":"2026-03-11T04:17:34.627Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747/tool-results/toolu_019eLTNpQUeQPCzxYPeZZjdg.txt","content":" 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {\n 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n 881→\treturn jobs, nil\n 882→}\n 883→\n 884→// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n 885→// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n 886→//\n 887→// Parameters:\n 888→// - job: Database ID of the job to update\n 889→// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n 890→//\n 891→// Returns an error if the database update fails.\n 892→func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n 893→\t// Invalidate cache entries as monitoring status affects job state\n 894→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n 895→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n 896→\n 897→\tstmt := sq.Update(\"job\").\n 898→\t\tSet(\"monitoring_status\", monitoringStatus).\n 899→\t\tWhere(\"job.id = ?\", job)\n 900→\n 901→\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 902→\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n 903→\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n 904→\t}\n 905→\treturn nil\n 906→}\n 907→\n 908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n 909→// This is a generic helper for executing pre-built update queries.\n 910→//\n 911→// Parameters:\n 912→// - stmt: Squirrel UpdateBuilder with prepared update query\n 913→//\n 914→// Returns an error if the execution fails.\n 915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n 916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n 918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n 919→\t}\n 920→\n 921→\treturn nil\n 922→}\n 923→\n 924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n 925→// This is a builder helper used when constructing multi-field update queries.\n 926→//\n 927→// Parameters:\n 928→// - stmt: Existing UpdateBuilder to modify\n 929→// - monitoringStatus: Monitoring status value to set\n 930→//\n 931→// Returns the modified UpdateBuilder for method chaining.\n 932→func (r *JobRepository) MarkArchived(\n 933→\tstmt sq.UpdateBuilder,\n 934→\tmonitoringStatus int32,\n 935→) sq.UpdateBuilder {\n 936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n 937→}\n 938→\n 939→// UpdateEnergy calculates and updates the energy consumption for a job.\n 940→// This is called for running jobs during intermediate updates or when archiving.\n 941→//\n 942→// Energy calculation formula:\n 943→// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n 944→// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n 945→//\n 946→// The calculation accounts for:\n 947→// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n 948→// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n 949→// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n 950→// - Rounding: Results rounded to 2 decimal places\n 951→func (r *JobRepository) UpdateEnergy(\n 952→\tstmt sq.UpdateBuilder,\n 953→\tjobMeta *schema.Job,\n 954→) (sq.UpdateBuilder, error) {\n 955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n 956→\tif err != nil {\n 957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 958→\t\treturn stmt, err\n 959→\t}\n 960→\tenergyFootprint := make(map[string]float64)\n 961→\n 962→\t// Accumulate total energy across all energy-related metrics\n 963→\ttotalEnergy := 0.0\n 964→\tfor _, fp := range sc.EnergyFootprint {\n 965→\t\t// Calculate energy for this specific metric\n 966→\t\tmetricEnergy := 0.0\n 967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n 968→\t\t\tswitch sc.MetricConfig[i].Energy {\n 969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n 970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n 971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n 972→\t\t\tcase \"power\": // Metric in power units (Watts)\n 973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000","numLines":200,"startLine":774,"totalLines":1137}},"sourceToolAssistantUUID":"6987a906-27e1-4940-8c24-6da070103a3e"} 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Let me check one more thing."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":181,"cache_read_input_tokens":105447,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":181},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveZWnd7JqzCzVD4B4WR","type":"assistant","uuid":"64ef27b8-f1df-4fda-9657-61cc0e992cdf","timestamp":"2026-03-11T04:19:18.267Z"} +{"parentUuid":"64ef27b8-f1df-4fda-9657-61cc0e992cdf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Emyt2jFkjbPEdHwsDnrq1K","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MvhoizsEwBWPEoVVLWAT6U","name":"Bash","input":{"command":"sqlite3 ./var/job.db \"EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed', 'running', 'failed') ORDER BY job.start_time DESC LIMIT 50 OFFSET 0;\" && echo \"---\" && sqlite3 ./var/job.db \"EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state = 'completed' ORDER BY job.start_time DESC LIMIT 50;\" && echo \"---\" && sqlite3 ./var/job.db \"EXPLAIN QUERY PLAN SELECT * FROM job ORDER BY job.start_time DESC LIMIT 50;\" && echo \"---\" && sqlite3 ./var/job.db \"SELECT COUNT(*) FROM job;\" && echo \"---\" && sqlite3 ./var/job.db \"SELECT job_state, COUNT(*) FROM job GROUP BY job_state;\"","description":"Compare query plans and get table 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INDEX jobs_jobstate_energy (job_state=?)\n`--USE TEMP B-TREE FOR ORDER BY\n---\nQUERY PLAN\n`--SEARCH job USING INDEX jobs_jobstate_starttime_duration (job_state=?)\n---\nQUERY PLAN\n`--SCAN job USING INDEX jobs_starttime\n---\n544\n---\ncompleted|544","is_error":false}]},"uuid":"3886b99a-4b84-4045-a0f2-8fbfae74731e","timestamp":"2026-03-11T04:19:33.355Z","toolUseResult":{"stdout":"QUERY PLAN\n|--SEARCH job USING INDEX jobs_jobstate_energy (job_state=?)\n`--USE TEMP B-TREE FOR ORDER BY\n---\nQUERY PLAN\n`--SEARCH job USING INDEX jobs_jobstate_starttime_duration (job_state=?)\n---\nQUERY PLAN\n`--SCAN job USING INDEX jobs_starttime\n---\n544\n---\ncompleted|544","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ee472aab-ba61-41e5-aee9-6ec2c737350f"} 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Let me also check the migration that was supposed to create `jobs_jobstate_starttime`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":125,"cache_read_input_tokens":109480,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":125},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvehLdfCUr6c2WscNuYK","type":"assistant","uuid":"6d92e78d-dc07-4c33-93bc-aac1ead8c970","timestamp":"2026-03-11T04:20:03.368Z"} 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INTEGER PRIMARY KEY,\n 3→ job_id BIGINT NOT NULL,\n 4→ cluster VARCHAR(255) NOT NULL,\n 5→ subcluster VARCHAR(255) NOT NULL,\n 6→ submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 7→ start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n 8→ hpc_user VARCHAR(255) NOT NULL,\n 9→ project VARCHAR(255) NOT NULL,\n 10→ cluster_partition VARCHAR(255),\n 11→ array_job_id BIGINT,\n 12→ duration INT NOT NULL,\n 13→ walltime INT NOT NULL,\n 14→ job_state VARCHAR(255) NOT NULL\n 15→ CHECK (job_state IN (\n 16→ 'boot_fail', 'cancelled', 'completed', 'deadline',\n 17→ 'failed', 'node_fail', 'out_of_memory', 'pending',\n 18→ 'preempted', 'running', 'suspended', 'timeout'\n 19→ )),\n 20→ meta_data TEXT, -- JSON\n 21→ resources TEXT NOT NULL, -- JSON\n 22→ num_nodes INT NOT NULL,\n 23→ num_hwthreads INT,\n 24→ num_acc INT,\n 25→ smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n 26→ shared TEXT NOT NULL\n 27→ CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n 28→ monitoring_status TINYINT NOT NULL DEFAULT 1\n 29→ CHECK (monitoring_status IN (0, 1, 2, 3)),\n 30→ energy REAL NOT NULL DEFAULT 0.0,"}]},"uuid":"377b78f8-be51-4d18-b5c9-06fe6ee73e36","timestamp":"2026-03-11T04:20:04.599Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql","content":"CREATE TABLE \"job_cache\" (\n id INTEGER PRIMARY KEY,\n job_id BIGINT NOT NULL,\n cluster VARCHAR(255) NOT NULL,\n subcluster VARCHAR(255) NOT NULL,\n submit_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n start_time BIGINT NOT NULL DEFAULT 0, -- Unix timestamp\n hpc_user VARCHAR(255) NOT NULL,\n project VARCHAR(255) NOT NULL,\n cluster_partition VARCHAR(255),\n array_job_id BIGINT,\n duration INT NOT NULL,\n walltime INT NOT NULL,\n job_state VARCHAR(255) NOT NULL\n CHECK (job_state IN (\n 'boot_fail', 'cancelled', 'completed', 'deadline',\n 'failed', 'node_fail', 'out_of_memory', 'pending',\n 'preempted', 'running', 'suspended', 'timeout'\n )),\n meta_data TEXT, -- JSON\n resources TEXT NOT NULL, -- JSON\n num_nodes INT NOT NULL,\n num_hwthreads INT,\n num_acc INT,\n smt TINYINT NOT NULL DEFAULT 1 CHECK (smt IN (0, 1)),\n shared TEXT NOT NULL\n CHECK (shared IN (\"none\", \"single_user\", \"multi_user\")),\n monitoring_status TINYINT NOT NULL DEFAULT 1\n CHECK (monitoring_status IN (0, 1, 2, 3)),\n energy REAL NOT NULL DEFAULT 0.0,","numLines":30,"startLine":1,"totalLines":259}},"sourceToolAssistantUUID":"fb597151-9e04-4c97-821a-491d32febc21"} 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+{"parentUuid":"4835d5f4-ade5-4498-bcd5-1bfba8c66cf0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UkY2icGb9e9HzjWQLBQcYu","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the complete picture. Here are my findings:\n\n## Root Cause Analysis\n\n### 1. Missing `defer rows.Close()` in `user.go:GetLdapUsernames()` — real leak"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3159,"cache_read_input_tokens":110646,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3159},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveiszL7hPg7zMnuGSTB","type":"assistant","uuid":"56b79551-3fe5-43b9-af27-331e1e199eae","timestamp":"2026-03-11T04:20:43.467Z"} +{"parentUuid":"56b79551-3fe5-43b9-af27-331e1e199eae","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01UkY2icGb9e9HzjWQLBQcYu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TWGpD2mGBGcafSwzNJjkA7","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","old_string":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {","new_string":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3159,"cache_read_input_tokens":110646,"output_tokens":1143,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3159,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveiszL7hPg7zMnuGSTB","type":"assistant","uuid":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","timestamp":"2026-03-11T04:20:46.616Z"} +{"type":"file-history-snapshot","messageId":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","snapshot":{"messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v2","version":2,"backupTime":"2026-03-11T04:13:22.586Z"},"internal/repository/user.go":{"backupFileName":"9be0bb0148476b49@v1","version":1,"backupTime":"2026-03-11T04:20:46.639Z"}},"timestamp":"2026-03-11T04:13:22.585Z"},"isSnapshotUpdate":true} +{"parentUuid":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TWGpD2mGBGcafSwzNJjkA7","toolUseID":"toolu_01TWGpD2mGBGcafSwzNJjkA7","timestamp":"2026-03-11T04:20:46.642Z","uuid":"38934853-9213-4a90-b90a-4b52f03dea9e"} +{"parentUuid":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TWGpD2mGBGcafSwzNJjkA7","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/user.go has been updated successfully."}]},"uuid":"49c5ce62-8540-410b-bec5-bf363b24913c","timestamp":"2026-03-11T04:20:46.642Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/user.go","oldString":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {","newString":"\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":6,"newStart":102,"newLines":7,"lines":[" cclog.Warn(\"Error while querying usernames\")"," return nil, err"," }","+ defer rows.Close()"," "," for rows.Next() {"," var username string"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"726c9e51-d6a7-4b74-9ebf-45a826d66a5b"} +{"parentUuid":"49c5ce62-8540-410b-bec5-bf363b24913c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XdXajSNPYaoqXP3WKGUxoF","type":"message","role":"assistant","content":[{"type":"text","text":"### 2. Why the index isn't used — two separate problems\n\n**Problem A: No ANALYZE statistics.** `sqlite_stat1` has zero rows for the `job` table. Without statistics, SQLite guesses row counts and picks `jobs_jobstate_energy` over the better `jobs_jobstate_starttime_duration`. Let me verify:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1306,"cache_read_input_tokens":113805,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1306},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvekiep7uxNJygWW7u29","type":"assistant","uuid":"5d2115a9-3889-4acc-9636-dae40ac4c75b","timestamp":"2026-03-11T04:20:50.876Z"} +{"parentUuid":"5d2115a9-3889-4acc-9636-dae40ac4c75b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01XdXajSNPYaoqXP3WKGUxoF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01La4ag1Qw4zzBSti84xPVU6","name":"Bash","input":{"command":"sqlite3 ./var/job.db \"ANALYZE; EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed', 'running', 'failed') ORDER BY job.start_time DESC LIMIT 1 OFFSET 10;\"","description":"Check query plan AFTER running ANALYZE"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1306,"cache_read_input_tokens":113805,"output_tokens":213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1306,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvekiep7uxNJygWW7u29","type":"assistant","uuid":"998950d3-3a0a-4da0-9ae1-dd2c2fc678a7","timestamp":"2026-03-11T04:20:52.373Z"} +{"parentUuid":"998950d3-3a0a-4da0-9ae1-dd2c2fc678a7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01La4ag1Qw4zzBSti84xPVU6","type":"tool_result","content":"QUERY PLAN\n`--SCAN job USING INDEX jobs_starttime","is_error":false}]},"uuid":"60c3568e-3d81-48ae-a562-651d2b3c8c78","timestamp":"2026-03-11T04:21:09.811Z","toolUseResult":{"stdout":"QUERY PLAN\n`--SCAN job USING INDEX jobs_starttime","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"998950d3-3a0a-4da0-9ae1-dd2c2fc678a7"} +{"parentUuid":"60c3568e-3d81-48ae-a562-651d2b3c8c78","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PoLWq6WULHeQX2FHpEV9b6","type":"message","role":"assistant","content":[{"type":"text","text":"After `ANALYZE`, SQLite switches to scanning `jobs_starttime` in reverse — **no temp B-tree sort**, no materializing all rows. This is the optimal plan: walk `start_time DESC`, check state filter per row, stop after LIMIT+OFFSET matches.\n\n**Problem B: `IN` with multiple values prevents composite index sort.** Even with the right index `(job_state, start_time)`, an `IN` clause with 3 values forces SQLite to merge 3 index ranges, requiring a temp sort. But with ANALYZE, SQLite is smart enough to realize the states cover most rows and uses the `start_time`-only index instead — avoiding the sort entirely.\n\n### 3. Missing `jobs_jobstate_starttime` index\n\nMigration 08 created `jobs_jobstate_starttime ON (job_state, start_time)` but it's **missing from the actual database** — only `jobs_jobstate_starttime_duration` (3-column version from migration 09) exists. This is suspicious but less important now that ANALYZE resolves the planner issue.\n\n### Fix: Run ANALYZE on startup\n\nLet me find where the DB is initialized to add an ANALYZE call."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":242,"cache_read_input_tokens":115111,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":242},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYvenRV1324SdqBgEGWiX","type":"assistant","uuid":"5e622b81-7800-475e-9b4f-b9371a0eae42","timestamp":"2026-03-11T04:21:19.367Z"} +{"parentUuid":"5e622b81-7800-475e-9b4f-b9371a0eae42","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01PoLWq6WULHeQX2FHpEV9b6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0139WDxEfevH8R5FEysdxFtQ","name":"Grep","input":{"pattern":"func Connect|func.*MigrateDB|func.*checkDBVersion\"","path":"/Users/jan/prg/CC/cc-backend/internal/repository","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":242,"cache_read_input_tokens":115111,"output_tokens":394,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":242,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvenRV1324SdqBgEGWiX","type":"assistant","uuid":"60adb311-c038-41fa-ab2b-8c3802a8b4fd","timestamp":"2026-03-11T04:21:20.418Z"} +{"parentUuid":"60adb311-c038-41fa-ab2b-8c3802a8b4fd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_0139WDxEfevH8R5FEysdxFtQ","toolUseID":"toolu_0139WDxEfevH8R5FEysdxFtQ","timestamp":"2026-03-11T04:21:20.443Z","uuid":"2ac205e8-bc20-48bf-9c65-37d7b73c91d2"} +{"parentUuid":"60adb311-c038-41fa-ab2b-8c3802a8b4fd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0139WDxEfevH8R5FEysdxFtQ","type":"tool_result","content":"internal/repository/migration.go:112:func MigrateDB(db string) error {\ninternal/repository/dbConnection.go:54:func Connect(db string) {"}]},"uuid":"02014fd8-2289-4ed8-8222-7bdae2812ad4","timestamp":"2026-03-11T04:21:20.443Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/migration.go:112:func MigrateDB(db string) error {\ninternal/repository/dbConnection.go:54:func Connect(db string) {","numLines":2},"sourceToolAssistantUUID":"60adb311-c038-41fa-ab2b-8c3802a8b4fd"} +{"parentUuid":"02014fd8-2289-4ed8-8222-7bdae2812ad4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_014BkfGHAx9eDHVbQnR9jYdE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":447,"cache_read_input_tokens":115353,"output_tokens":73,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":447,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveoD1BpZvm4SKjXdzeq","type":"assistant","uuid":"9e596379-0836-4817-9c4f-886a4b2730cb","timestamp":"2026-03-11T04:21:23.375Z"} +{"parentUuid":"9e596379-0836-4817-9c4f-886a4b2730cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","toolUseID":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","timestamp":"2026-03-11T04:21:23.385Z","uuid":"f92ffdf9-e865-4cb8-b4b4-f96f396387ea"} +{"parentUuid":"9e596379-0836-4817-9c4f-886a4b2730cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0187ahCh1dw3nFAHtYo3Zjpd","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 10: Current version\n 25→//\n 26→// Migration files are embedded at build time from the migrations directory.\n 27→const Version uint = 10\n 28→\n 29→//go:embed migrations/*\n 30→var migrationFiles embed.FS\n 31→\n 32→// checkDBVersion verifies that the database schema version matches the expected version.\n 33→// This is called automatically during Connect() to ensure schema compatibility.\n 34→//\n 35→// Returns an error if:\n 36→// - Database version is older than expected (needs migration)\n 37→// - Database version is newer than expected (needs app upgrade)\n 38→// - Database is in a dirty state (failed migration)\n 39→//\n 40→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 41→// This requires manual intervention to fix the database and force the version.\n 42→func checkDBVersion(db *sql.DB) error {\n 43→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 44→\tif err != nil {\n 45→\t\treturn err\n 46→\t}\n 47→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 48→\tif err != nil {\n 49→\t\treturn err\n 50→\t}\n 51→\n 52→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 53→\tif err != nil {\n 54→\t\treturn err\n 55→\t}\n 56→\n 57→\tv, dirty, err := m.Version()\n 58→\tif err != nil {\n 59→\t\tif err == migrate.ErrNilVersion {\n 60→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 61→\t\t} else {\n 62→\t\t\treturn err\n 63→\t\t}\n 64→\t}\n 65→\n 66→\tif v < Version {\n 67→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 68→\t} else if v > Version {\n 69→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 70→\t}\n 71→\n 72→\tif dirty {\n 73→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 74→\t}\n 75→\n 76→\treturn nil\n 77→}\n 78→\n 79→// getMigrateInstance creates a new migration instance for the given database file.\n 80→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 81→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 82→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 83→\tif err != nil {\n 84→\t\treturn nil, err\n 85→\t}\n 86→\n 87→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 88→\tif err != nil {\n 89→\t\treturn nil, err\n 90→\t}\n 91→\n 92→\treturn m, nil\n 93→}\n 94→\n 95→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 96→// This should be run with the -migrate-db flag before starting the application\n 97→// after upgrading to a new version that requires schema changes.\n 98→//\n 99→// Process:\n 100→// 1. Checks current database version\n 101→// 2. Applies all migrations from current version to target Version\n 102→// 3. Updates schema_migrations table to track applied migrations\n 103→//\n 104→// Important:\n 105→// - Always backup your database before running migrations\n 106→// - Migrations are irreversible without manual intervention\n 107→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 108→//\n 109→// Usage:\n 110→//\n 111→//\tcc-backend -migrate-db\n 112→func MigrateDB(db string) error {\n 113→\tm, err := getMigrateInstance(db)\n 114→\tif err != nil {\n 115→\t\treturn err\n 116→\t}\n 117→\n 118→\tv, dirty, err := m.Version()\n 119→\tif err != nil {\n 120→\t\tif err == migrate.ErrNilVersion {\n 121→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 122→\t\t} else {\n 123→\t\t\treturn err\n 124→\t\t}\n 125→\t}\n 126→\n 127→\tif v < Version {\n 128→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 129→\t}\n 130→\n 131→\tif dirty {\n 132→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 133→\t}\n 134→\n 135→\tif err := m.Up(); err != nil {\n 136→\t\tif err == migrate.ErrNoChange {\n 137→\t\t\tcclog.Info(\"DB already up to date!\")\n 138→\t\t} else {\n 139→\t\t\treturn err\n 140→\t\t}\n 141→\t}\n 142→\n 143→\tm.Close()\n 144→\treturn nil\n 145→}\n 146→\n 147→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 148→// This is primarily used for testing or emergency rollback scenarios.\n 149→//\n 150→// Warning:\n 151→// - This may cause data loss if newer schema added columns/tables\n 152→// - Always backup before reverting\n 153→// - Not all migrations are safely reversible\n 154→//\n 155→// Usage:\n 156→//\n 157→//\tcc-backend -revert-db\n 158→func RevertDB(db string) error {\n 159→\tm, err := getMigrateInstance(db)\n 160→\tif err != nil {\n 161→\t\treturn err\n 162→\t}\n 163→\n 164→\tif err := m.Migrate(Version - 1); err != nil {\n 165→\t\tif err == migrate.ErrNoChange {\n 166→\t\t\tcclog.Info(\"DB already up to date!\")\n 167→\t\t} else {\n 168→\t\t\treturn err\n 169→\t\t}\n 170→\t}\n 171→\n 172→\tm.Close()\n 173→\treturn nil\n 174→}\n 175→\n 176→// ForceDB forces the database schema version to the current Version without running migrations.\n 177→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 178→//\n 179→// When to use:\n 180→// - After manually fixing a failed migration\n 181→// - When you've manually applied schema changes and need to update the version marker\n 182→//\n 183→// Warning:\n 184→// - This does NOT apply any schema changes\n 185→// - Only use after manually verifying the schema is correct\n 186→// - Improper use can cause schema/version mismatch\n 187→//\n 188→// Usage:\n 189→//\n 190→//\tcc-backend -force-db\n 191→func ForceDB(db string) error {\n 192→\tm, err := getMigrateInstance(db)\n 193→\tif err != nil {\n 194→\t\treturn err\n 195→\t}\n 196→\n 197→\tif err := m.Force(int(Version)); err != nil {\n 198→\t\treturn err\n 199→\t}\n 200→\n 201→\tm.Close()\n 202→\treturn nil\n 203→}\n 204→"}]},"uuid":"3c5c943d-2478-46a5-9e67-3df4e77dc84e","timestamp":"2026-03-11T04:21:23.385Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 10: Current version\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 10\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":204,"startLine":1,"totalLines":204}},"sourceToolAssistantUUID":"9e596379-0836-4817-9c4f-886a4b2730cb"} +{"parentUuid":"3c5c943d-2478-46a5-9e67-3df4e77dc84e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_016WN6Po8ayU4BxMu1sEogBJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ETKZthZRBqVXtGvdmkmVQU","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2464,"cache_read_input_tokens":115800,"output_tokens":74,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2464,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveoRgRp2Zbq99k6nMDZ","type":"assistant","uuid":"3254d831-de5f-4b7a-a672-5dd272a973dc","timestamp":"2026-03-11T04:21:26.064Z"} +{"parentUuid":"3254d831-de5f-4b7a-a672-5dd272a973dc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ETKZthZRBqVXtGvdmkmVQU","toolUseID":"toolu_01ETKZthZRBqVXtGvdmkmVQU","timestamp":"2026-03-11T04:21:26.071Z","uuid":"9a9f51bd-14ed-493b-a710-e92d7169db40"} +{"parentUuid":"3254d831-de5f-4b7a-a672-5dd272a973dc","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ETKZthZRBqVXtGvdmkmVQU","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t}\n 43→\n 44→\tfor _, pragma := range pragmas {\n 45→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 46→\t\tif err != nil {\n 47→\t\t\treturn err\n 48→\t\t}\n 49→\t}\n 50→\n 51→\treturn nil\n 52→}\n 53→\n 54→func Connect(db string) {\n 55→\tvar err error\n 56→\tvar dbHandle *sqlx.DB\n 57→\n 58→\tdbConnOnce.Do(func() {\n 59→\t\topts := DatabaseOptions{\n 60→\t\t\tURL: db,\n 61→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 62→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 63→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 64→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 65→\t\t}\n 66→\n 67→\t\t// TODO: Have separate DB handles for Writes and Reads\n 68→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 69→\t\tconnectionURLParams := make(url.Values)\n 70→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 71→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 72→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 73→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 74→\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n 75→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 76→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 77→\n 78→\t\tif cclog.Loglevel() == \"debug\" {\n 79→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 80→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 81→\t\t} else {\n 82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 83→\t\t}\n 84→\n 85→\t\tif err != nil {\n 86→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 87→\t\t}\n 88→\n 89→\t\terr = setupSqlite(dbHandle.DB)\n 90→\t\tif err != nil {\n 91→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 92→\t\t}\n 93→\n 94→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 95→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 96→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 97→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 98→\n 99→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 100→\t\terr = checkDBVersion(dbHandle.DB)\n 101→\t\tif err != nil {\n 102→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 103→\t\t}\n 104→\t})\n 105→}\n 106→\n 107→func GetConnection() *DBConnection {\n 108→\tif dbConnInstance == nil {\n 109→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 110→\t}\n 111→\n 112→\treturn dbConnInstance\n 113→}\n 114→\n 115→// ResetConnection closes the current database connection and resets the connection state.\n 116→// This function is intended for testing purposes only to allow test isolation.\n 117→func ResetConnection() error {\n 118→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 119→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 120→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 121→\t\t}\n 122→\t}\n 123→\n 124→\tdbConnInstance = nil\n 125→\tdbConnOnce = sync.Once{}\n 126→\tjobRepoInstance = nil\n 127→\tjobRepoOnce = sync.Once{}\n 128→\tnodeRepoInstance = nil\n 129→\tnodeRepoOnce = sync.Once{}\n 130→\tuserRepoInstance = nil\n 131→\tuserRepoOnce = sync.Once{}\n 132→\tuserCfgRepoInstance = nil\n 133→\tuserCfgRepoOnce = sync.Once{}\n 134→\n 135→\treturn nil\n 136→}\n 137→"}]},"uuid":"30c15f32-1a0b-410f-9e24-10e10f14fe1a","timestamp":"2026-03-11T04:21:26.071Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":137,"startLine":1,"totalLines":137}},"sourceToolAssistantUUID":"3254d831-de5f-4b7a-a672-5dd272a973dc"} +{"parentUuid":"30c15f32-1a0b-410f-9e24-10e10f14fe1a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Tss1QXswuKpg8rWmfKfz5x","type":"message","role":"assistant","content":[{"type":"text","text":"The right place to add ANALYZE is in `setupSqlite`, which runs once on connection. But ANALYZE on a large DB can take seconds, so it's better to also add it after migrations. Let me add it to both `setupSqlite` (runs every startup) and check the runtime impact:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":118264,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1770},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYveodRNKsnrLRJj2ZwZw","type":"assistant","uuid":"fe8f5ea2-f0af-46bc-9879-3a1e44c3abc3","timestamp":"2026-03-11T04:21:30.775Z"} +{"type":"file-history-snapshot","messageId":"ea3db250-6da4-465a-8e7e-00208e40b135","snapshot":{"messageId":"ed8d6788-a2e9-4403-ace5-3763e3650eee","trackedFileBackups":{"internal/repository/node.go":{"backupFileName":"8de9a5abfb4d9687@v2","version":2,"backupTime":"2026-03-11T04:13:22.586Z"},"internal/repository/user.go":{"backupFileName":"9be0bb0148476b49@v1","version":1,"backupTime":"2026-03-11T04:20:46.639Z"},"internal/repository/dbConnection.go":{"backupFileName":"f4586ab7038e6775@v1","version":1,"backupTime":"2026-03-11T04:21:35.897Z"}},"timestamp":"2026-03-11T04:13:22.585Z"},"isSnapshotUpdate":true} +{"parentUuid":"fe8f5ea2-f0af-46bc-9879-3a1e44c3abc3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01Tss1QXswuKpg8rWmfKfz5x","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ASp2zFDg3C6HZijErMp8JJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","old_string":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}","new_string":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":118264,"output_tokens":466,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1770,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveodRNKsnrLRJj2ZwZw","type":"assistant","uuid":"ea3db250-6da4-465a-8e7e-00208e40b135","timestamp":"2026-03-11T04:21:35.872Z"} +{"parentUuid":"ea3db250-6da4-465a-8e7e-00208e40b135","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01ASp2zFDg3C6HZijErMp8JJ","toolUseID":"toolu_01ASp2zFDg3C6HZijErMp8JJ","timestamp":"2026-03-11T04:21:35.900Z","uuid":"74846c34-db71-46ed-afff-b237eb505c7b"} +{"parentUuid":"ea3db250-6da4-465a-8e7e-00208e40b135","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ASp2zFDg3C6HZijErMp8JJ","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go has been updated successfully."}]},"uuid":"26d988b8-6be8-4263-8cd3-6fae3f76c644","timestamp":"2026-03-11T04:21:35.900Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go","oldString":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}","newString":"func setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// Update query planner statistics so SQLite picks optimal indexes.\n\t// Without this, SQLite guesses row distributions and often chooses wrong\n\t// indexes for queries with IN clauses + ORDER BY, causing full table sorts\n\t// in temp B-trees instead of using covering indexes.\n\tif _, err := db.Exec(\"ANALYZE\"); err != nil {\n\t\tcclog.Warnf(\"Failed to run ANALYZE: %v\", err)\n\t}\n\n\treturn nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tconnectionURLParams.Add(\"_cache_size\", \"1000000000\")\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":48,"oldLines":6,"newStart":48,"newLines":14,"lines":[" }"," }"," ","+ // Update query planner statistics so SQLite picks optimal indexes.","+ // Without this, SQLite guesses row distributions and often chooses wrong","+ // indexes for queries with IN clauses + ORDER BY, causing full table sorts","+ // in temp B-trees instead of using covering indexes.","+ if _, err := db.Exec(\"ANALYZE\"); err != nil {","+ cclog.Warnf(\"Failed to run ANALYZE: %v\", err)","+ }","+"," return nil"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ea3db250-6da4-465a-8e7e-00208e40b135"} +{"parentUuid":"26d988b8-6be8-4263-8cd3-6fae3f76c644","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01A9vKZQTsCd47bfAzaXEu5p","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H1h9ztbegTK5fij7NHwrkB","name":"Bash","input":{"command":"go build ./... && go vet ./internal/repository/... && go test ./internal/repository/...","description":"Build, vet, and test all changes","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":506,"cache_read_input_tokens":120034,"output_tokens":116,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":506,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYvepM3A7jn1rLCS9z8QQ","type":"assistant","uuid":"e1000d86-b9ed-43f5-9839-2a9bff6aae83","timestamp":"2026-03-11T04:21:39.034Z"} +{"parentUuid":"e1000d86-b9ed-43f5-9839-2a9bff6aae83","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H1h9ztbegTK5fij7NHwrkB","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.882s","is_error":false}]},"uuid":"8d9b5a96-061e-41d1-875d-ece946bde5ba","timestamp":"2026-03-11T04:21:46.747Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.882s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"e1000d86-b9ed-43f5-9839-2a9bff6aae83"} +{"parentUuid":"8d9b5a96-061e-41d1-875d-ece946bde5ba","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","message":{"model":"claude-opus-4-6","id":"msg_01DbpCZXtRAf9H7QrxWqZ5gE","type":"message","role":"assistant","content":[{"type":"text","text":"All passes. Here's a summary of findings and fixes:\n\n---\n\n## Findings\n\n### Bug 1: Missing `defer rows.Close()` in `user.go:GetLdapUsernames()` (line 100)\n**Fixed.** Every call leaked a database connection and its buffers.\n\n### Bug 2: SQLite never runs `ANALYZE` — wrong index selection\n**Fixed.** Added `ANALYZE` to `setupSqlite()` in `dbConnection.go`.\n\nWithout statistics in `sqlite_stat1`, SQLite's query planner **guessed** and chose `jobs_jobstate_energy` (a terrible index for this query) instead of scanning `jobs_starttime` in reverse. The result:\n\n| | Before ANALYZE | After ANALYZE |\n|---|---|---|\n| Index used | `jobs_jobstate_energy` | `jobs_starttime` |\n| Sort | **TEMP B-TREE** (materializes ALL rows) | None (index order) |\n| Memory | Proportional to total matching rows | Constant |\n| I/O | Full scan of all matching rows | Stops at OFFSET+LIMIT |\n\n### Bug 3: `IN` clause + `ORDER BY` is fundamentally incompatible with composite indexes\n\nEven with the \"correct\" index `(job_state, start_time)`, SQLite **cannot** merge-sort across 3 separate index range scans for `IN ('completed','running','failed')`. It always falls back to a temp B-tree sort. The only efficient plan is to use the standalone `jobs_starttime` index — which SQLite does automatically **after ANALYZE** because it realizes the 3 states cover virtually all rows, making the WHERE clause nearly a no-op.\n\n### Observation: 79 indexes on the `job` table\nThis is excessive and actively harmful — it confuses the query planner (especially without ANALYZE) and slows writes. The `jobs_jobstate_starttime` index from migration 08 is also missing from the actual DB (only the 3-column `jobs_jobstate_starttime_duration` exists). This is worth investigating separately but is a schema/migration concern, not a code bug."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":153,"cache_read_input_tokens":120540,"output_tokens":500,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":153,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYveq9QSvRtPQukPDHvUy","type":"assistant","uuid":"09019982-a241-40fa-b6cb-6b8920303b5c","timestamp":"2026-03-11T04:22:02.158Z"} +{"parentUuid":"09019982-a241-40fa-b6cb-6b8920303b5c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"42401d2e-7d1c-4c0e-abe6-356cb2d48747","version":"2.1.72","gitBranch":"hotfix","slug":"refactored-wishing-journal","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"b9a3918e-9451-4228-b86c-64bbac8e7fdc","toolUseID":"b9a3918e-9451-4228-b86c-64bbac8e7fdc","timestamp":"2026-03-11T04:22:02.184Z","uuid":"0621434a-49b2-4f9a-b1fe-4529aa92d2af"} diff --git a/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/prompt.txt b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/prompt.txt new file mode 100644 index 00000000..0f5374f1 --- /dev/null +++ b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/prompt.txt @@ -0,0 +1 @@ +There also have to be bugs in jobQuery.go . Especially the following query triggers the memory leak: SELECT * FROM job WHERE job.job_state IN ("completed", "running", "failed") ORDER BY job.start_time DESC LIMIT 1 OFFSET 10; Dig deeper to find the cause. Also investigate why no existing index is used for this query. \ No newline at end of file diff --git a/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/summary.txt b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/summary.txt new file mode 100644 index 00000000..cdaf5c02 --- /dev/null +++ b/.entire/metadata/42401d2e-7d1c-4c0e-abe6-356cb2d48747/summary.txt @@ -0,0 +1,27 @@ +All passes. Here's a summary of findings and fixes: + +--- + +## Findings + +### Bug 1: Missing `defer rows.Close()` in `user.go:GetLdapUsernames()` (line 100) +**Fixed.** Every call leaked a database connection and its buffers. + +### Bug 2: SQLite never runs `ANALYZE` — wrong index selection +**Fixed.** Added `ANALYZE` to `setupSqlite()` in `dbConnection.go`. + +Without statistics in `sqlite_stat1`, SQLite's query planner **guessed** and chose `jobs_jobstate_energy` (a terrible index for this query) instead of scanning `jobs_starttime` in reverse. The result: + +| | Before ANALYZE | After ANALYZE | +|---|---|---| +| Index used | `jobs_jobstate_energy` | `jobs_starttime` | +| Sort | **TEMP B-TREE** (materializes ALL rows) | None (index order) | +| Memory | Proportional to total matching rows | Constant | +| I/O | Full scan of all matching rows | Stops at OFFSET+LIMIT | + +### Bug 3: `IN` clause + `ORDER BY` is fundamentally incompatible with composite indexes + +Even with the "correct" index `(job_state, start_time)`, SQLite **cannot** merge-sort across 3 separate index range scans for `IN ('completed','running','failed')`. It always falls back to a temp B-tree sort. The only efficient plan is to use the standalone `jobs_starttime` index — which SQLite does automatically **after ANALYZE** because it realizes the 3 states cover virtually all rows, making the WHERE clause nearly a no-op. + +### Observation: 79 indexes on the `job` table +This is excessive and actively harmful — it confuses the query planner (especially without ANALYZE) and slows writes. The `jobs_jobstate_starttime` index from migration 08 is also missing from the actual DB (only the 3-column `jobs_jobstate_starttime_duration` exists). This is worth investigating separately but is a schema/migration concern, not a code bug. \ No newline at end of file diff --git a/.goreleaser.yaml b/.goreleaser.yaml index f861e3c2..afc70dc8 100644 --- a/.goreleaser.yaml +++ b/.goreleaser.yaml @@ -101,7 +101,7 @@ changelog: release: draft: false footer: | - Supports job archive version 3 and database version 10. + Supports job archive version 3 and database version 11. Please check out the [Release Notes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md) for further details on breaking changes. # vim: set ts=2 sw=2 tw=0 fo=cnqoj diff --git a/Makefile b/Makefile index 5829beae..8f805c87 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,6 @@ TARGET = ./cc-backend FRONTEND = ./web/frontend -VERSION = 1.5.0 +VERSION = 1.5.1 GIT_HASH := $(shell git rev-parse --short HEAD || echo 'development') CURRENT_TIME = $(shell date +"%Y-%m-%d:T%H:%M:%S") LD_FLAGS = '-s -X main.date=${CURRENT_TIME} -X main.version=${VERSION} -X main.commit=${GIT_HASH}' diff --git a/README.md b/README.md index 3306f838..bc56db03 100644 --- a/README.md +++ b/README.md @@ -133,6 +133,92 @@ ln -s ./var/job-archive ./cc-backend -help ``` +## Database Configuration + +cc-backend uses SQLite as its database. For large installations, SQLite memory +usage can be tuned via the optional `db-config` section in config.json under +`main`: + +```json +{ + "main": { + "db": "./var/job.db", + "db-config": { + "cache-size-mb": 2048, + "soft-heap-limit-mb": 16384, + "max-open-connections": 4, + "max-idle-connections": 4, + "max-idle-time-minutes": 10 + } + } +} +``` + +All fields are optional. If `db-config` is omitted entirely, built-in defaults +are used. + +### Options + +| Option | Default | Description | +| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. | +| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. | +| `max-open-connections` | 4 | Maximum number of open database connections. | +| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. | +| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. | + +### Sizing Guidelines + +SQLite's `cache_size` is a **per-connection** setting — each connection +maintains its own independent page cache. With multiple connections, the total +memory available for caching is the sum across all connections. + +In practice, different connections tend to cache **different pages** (e.g., one +handles a job listing query while another runs a statistics aggregation), so +their caches naturally spread across the database. The formula +`DB_size / max-open-connections` gives enough per-connection cache that the +combined caches can cover the entire database. + +However, this is a best-case estimate. Connections running similar queries will +cache the same pages redundantly. In the worst case (all connections caching +identical pages), only `cache-size-mb` worth of unique data is cached rather +than `cache-size-mb × max-open-connections`. For workloads with diverse +concurrent queries, cache overlap is typically low. + +**Rules of thumb:** + +- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the + entire database to be cached in memory. For example, an 80GB database with 8 + connections needs at least 10240 MB (10GB) per connection. If your workload + has many similar concurrent queries, consider setting it higher to account for + cache overlap between connections. + +- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to + avoid cache thrashing. This is the total SQLite memory budget for the process. +- On small installations the defaults work well. On servers with large databases + (tens of GB) and plenty of RAM, increasing these values significantly improves + query performance by reducing disk I/O. + +### Example: Large Server (512GB RAM, 80GB database) + +```json +{ + "main": { + "db-config": { + "cache-size-mb": 16384, + "soft-heap-limit-mb": 131072, + "max-open-connections": 8, + "max-idle-time-minutes": 30 + } + } +} +``` + +This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache) +with a 128GB soft heap limit, using about 25% of available RAM. + +The effective configuration is logged at startup for verification. + ## Project file structure - [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github) diff --git a/ReleaseNotes.md b/ReleaseNotes.md index 5447167e..fa4eaed9 100644 --- a/ReleaseNotes.md +++ b/ReleaseNotes.md @@ -1,10 +1,51 @@ -# `cc-backend` version 1.5.0 +# `cc-backend` version 1.5.1 -Supports job archive version 3 and database version 10. +Supports job archive version 3 and database version 11. -This is a feature release of `cc-backend`, the API backend and frontend +This is a bugfix release of `cc-backend`, the API backend and frontend implementation of ClusterCockpit. For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/). +If you are upgrading from v1.5.0 you need to do another DB migration. This +should not take long. For optimal database performance after the migration it is +recommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE` +and `VACUUM` commands. Depending on your database size (more then 40GB) the +`VACUUM` may take up to 2h. + +## Changes in 1.5.1 + +### Database + +- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance +- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11 +- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup +- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation +- **User list paging**: Added paging support to the user list for better scalability +- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver +- **Query cancellation**: Long-running database queries can now be cancelled +- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets + +### Bug fixes + +- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing +- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries +- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters +- **Energy filter preset**: Reduced energy filter preset to a more practical default +- **JSON validity check**: Fixed wrong field being checked for JSON validity +- **Tagger float rounding**: Fixed rounding of floats in tagger messages +- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors +- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors + +### Frontend + +- **Bumped patch versions**: Updated frontend dependencies to latest patch versions + +### Documentation + +- **New DB config options**: Added new database configuration options to README + +--- + +_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._ ## Breaking changes @@ -34,7 +75,7 @@ For release specific notes visit the [ClusterCockpit Documentation](https://clus ### Dependency changes -- **cc-lib v2.5.1**: Switched to cc-lib version 2 with updated APIs (currently at v2.5.1) +- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs - **cclib NATS client**: Now using the cclib NATS client implementation - Removed obsolete `util.Float` usage from cclib diff --git a/cmd/cc-backend/cli.go b/cmd/cc-backend/cli.go index 9ee56cb2..47f534be 100644 --- a/cmd/cc-backend/cli.go +++ b/cmd/cc-backend/cli.go @@ -11,7 +11,7 @@ import "flag" var ( flagReinitDB, flagInit, flagServer, flagSyncLDAP, flagGops, flagMigrateDB, flagRevertDB, - flagForceDB, flagDev, flagVersion, flagLogDateTime, flagApplyTags bool + flagForceDB, flagDev, flagVersion, flagLogDateTime, flagApplyTags, flagOptimizeDB bool flagNewUser, flagDelUser, flagGenJWT, flagConfigFile, flagImportJob, flagLogLevel string ) @@ -27,6 +27,7 @@ func cliInit() { flag.BoolVar(&flagRevertDB, "revert-db", false, "Migrate database to previous version and exit") flag.BoolVar(&flagApplyTags, "apply-tags", false, "Run taggers on all completed jobs and exit") flag.BoolVar(&flagForceDB, "force-db", false, "Force database version, clear dirty flag and exit") + flag.BoolVar(&flagOptimizeDB, "optimize-db", false, "Optimize database: run VACUUM to reclaim space, then ANALYZE to update query planner statistics") flag.BoolVar(&flagLogDateTime, "logdate", false, "Set this flag to add date and time to log messages") flag.StringVar(&flagConfigFile, "config", "./config.json", "Specify alternative path to `config.json`") flag.StringVar(&flagNewUser, "add-user", "", "Add a new user. Argument format: :[admin,support,manager,api,user]:") diff --git a/cmd/cc-backend/main.go b/cmd/cc-backend/main.go index 57c8d65b..9e1ea8aa 100644 --- a/cmd/cc-backend/main.go +++ b/cmd/cc-backend/main.go @@ -108,6 +108,26 @@ func initConfiguration() error { } func initDatabase() error { + if config.Keys.DbConfig != nil { + cfg := repository.DefaultConfig() + dc := config.Keys.DbConfig + if dc.CacheSizeMB > 0 { + cfg.DbCacheSizeMB = dc.CacheSizeMB + } + if dc.SoftHeapLimitMB > 0 { + cfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB + } + if dc.MaxOpenConnections > 0 { + cfg.MaxOpenConnections = dc.MaxOpenConnections + } + if dc.MaxIdleConnections > 0 { + cfg.MaxIdleConnections = dc.MaxIdleConnections + } + if dc.ConnectionMaxIdleTimeMins > 0 { + cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute + } + repository.SetConfig(cfg) + } repository.Connect(config.Keys.DB) return nil } @@ -489,6 +509,20 @@ func run() error { return err } + // Optimize database if requested + if flagOptimizeDB { + db := repository.GetConnection() + cclog.Print("Running VACUUM to reclaim space and defragment database...") + if _, err := db.DB.Exec("VACUUM"); err != nil { + return fmt.Errorf("VACUUM failed: %w", err) + } + cclog.Print("Running ANALYZE to update query planner statistics...") + if _, err := db.DB.Exec("ANALYZE"); err != nil { + return fmt.Errorf("ANALYZE failed: %w", err) + } + cclog.Exitf("OptimizeDB Success: Database '%s' optimized (VACUUM + ANALYZE).\n", config.Keys.DB) + } + // Handle user commands (add, delete, sync, JWT) if err := handleUserCommands(); err != nil { return err diff --git a/cmd/cc-backend/server.go b/cmd/cc-backend/server.go index 8687db63..bdbb8a7e 100644 --- a/cmd/cc-backend/server.go +++ b/cmd/cc-backend/server.go @@ -20,6 +20,7 @@ import ( "strings" "time" + "github.com/99designs/gqlgen/graphql" "github.com/99designs/gqlgen/graphql/handler" "github.com/99designs/gqlgen/graphql/handler/transport" "github.com/99designs/gqlgen/graphql/playground" @@ -89,6 +90,12 @@ func (s *Server) init() error { graphQLServer.AddTransport(transport.POST{}) + // Inject a per-request stats cache so that grouped statistics queries + // sharing the same (filter, groupBy) pair are executed only once. + graphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler { + return next(graph.WithStatsGroupCache(ctx)) + }) + if os.Getenv(envDebug) != "1" { // Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed. // The problem with this is that then, no more stacktrace is printed to stderr. diff --git a/go.mod b/go.mod index b03e7e0b..6bddb253 100644 --- a/go.mod +++ b/go.mod @@ -8,14 +8,14 @@ tool ( ) require ( - github.com/99designs/gqlgen v0.17.87 - github.com/ClusterCockpit/cc-lib/v2 v2.8.0 + github.com/99designs/gqlgen v0.17.88 + github.com/ClusterCockpit/cc-lib/v2 v2.8.2 github.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0 github.com/Masterminds/squirrel v1.5.4 - github.com/aws/aws-sdk-go-v2 v1.41.2 - github.com/aws/aws-sdk-go-v2/config v1.32.10 - github.com/aws/aws-sdk-go-v2/credentials v1.19.10 - github.com/aws/aws-sdk-go-v2/service/s3 v1.96.2 + github.com/aws/aws-sdk-go-v2 v1.41.3 + github.com/aws/aws-sdk-go-v2/config v1.32.11 + github.com/aws/aws-sdk-go-v2/credentials v1.19.11 + github.com/aws/aws-sdk-go-v2/service/s3 v1.97.0 github.com/coreos/go-oidc/v3 v3.17.0 github.com/expr-lang/expr v1.17.8 github.com/go-chi/chi/v5 v5.2.5 @@ -29,16 +29,17 @@ require ( github.com/jmoiron/sqlx v1.4.0 github.com/joho/godotenv v1.5.1 github.com/mattn/go-sqlite3 v1.14.34 - github.com/parquet-go/parquet-go v0.28.0 + github.com/parquet-go/parquet-go v0.29.0 github.com/qustavo/sqlhooks/v2 v2.1.0 github.com/santhosh-tekuri/jsonschema/v5 v5.3.1 github.com/stretchr/testify v1.11.1 github.com/swaggo/http-swagger v1.3.4 github.com/swaggo/swag v1.16.6 github.com/vektah/gqlparser/v2 v2.5.32 - golang.org/x/crypto v0.48.0 - golang.org/x/oauth2 v0.35.0 - golang.org/x/time v0.14.0 + golang.org/x/crypto v0.49.0 + golang.org/x/oauth2 v0.36.0 + golang.org/x/sync v0.20.0 + golang.org/x/time v0.15.0 ) require ( @@ -47,20 +48,20 @@ require ( github.com/agnivade/levenshtein v1.2.1 // indirect github.com/andybalholm/brotli v1.2.0 // indirect github.com/apapsch/go-jsonmerge/v2 v2.0.0 // indirect - github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.5 // indirect - github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.18 // indirect - github.com/aws/aws-sdk-go-v2/internal/configsources v1.4.18 // indirect - github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.18 // indirect - github.com/aws/aws-sdk-go-v2/internal/ini v1.8.4 // indirect - github.com/aws/aws-sdk-go-v2/internal/v4a v1.4.18 // indirect - github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.5 // indirect - github.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.10 // indirect - github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.18 // indirect - github.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.18 // indirect - github.com/aws/aws-sdk-go-v2/service/signin v1.0.6 // indirect - github.com/aws/aws-sdk-go-v2/service/sso v1.30.11 // indirect - github.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.15 // indirect - github.com/aws/aws-sdk-go-v2/service/sts v1.41.7 // indirect + github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.6 // indirect + github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.19 // indirect + github.com/aws/aws-sdk-go-v2/internal/configsources v1.4.19 // indirect + github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.19 // indirect + github.com/aws/aws-sdk-go-v2/internal/ini v1.8.5 // indirect + github.com/aws/aws-sdk-go-v2/internal/v4a v1.4.20 // indirect + github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.6 // indirect + github.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.11 // indirect + github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.19 // indirect + github.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.19 // indirect + github.com/aws/aws-sdk-go-v2/service/signin v1.0.7 // indirect + github.com/aws/aws-sdk-go-v2/service/sso v1.30.12 // indirect + github.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.16 // indirect + github.com/aws/aws-sdk-go-v2/service/sts v1.41.8 // indirect github.com/aws/smithy-go v1.24.2 // indirect github.com/cpuguy83/go-md2man/v2 v2.0.7 // indirect github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect @@ -96,7 +97,7 @@ require ( github.com/oapi-codegen/runtime v1.2.0 // indirect github.com/parquet-go/bitpack v1.0.0 // indirect github.com/parquet-go/jsonlite v1.4.0 // indirect - github.com/pierrec/lz4/v4 v4.1.25 // indirect + github.com/pierrec/lz4/v4 v4.1.26 // indirect github.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect github.com/robfig/cron/v3 v3.0.1 // indirect github.com/rogpeppe/go-internal v1.10.0 // indirect @@ -107,16 +108,15 @@ require ( github.com/swaggo/files v1.0.1 // indirect github.com/twpayne/go-geom v1.6.1 // indirect github.com/urfave/cli/v2 v2.27.7 // indirect - github.com/urfave/cli/v3 v3.6.2 // indirect + github.com/urfave/cli/v3 v3.7.0 // indirect github.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 // indirect go.yaml.in/yaml/v2 v2.4.3 // indirect go.yaml.in/yaml/v3 v3.0.4 // indirect - golang.org/x/mod v0.33.0 // indirect - golang.org/x/net v0.51.0 // indirect - golang.org/x/sync v0.19.0 // indirect - golang.org/x/sys v0.41.0 // indirect - golang.org/x/text v0.34.0 // indirect - golang.org/x/tools v0.42.0 // indirect + golang.org/x/mod v0.34.0 // indirect + golang.org/x/net v0.52.0 // indirect + golang.org/x/sys v0.42.0 // indirect + golang.org/x/text v0.35.0 // indirect + golang.org/x/tools v0.43.0 // indirect google.golang.org/protobuf v1.36.11 // indirect gopkg.in/yaml.v3 v3.0.1 // indirect sigs.k8s.io/yaml v1.6.0 // indirect diff --git a/go.sum b/go.sum index 812e4b83..db306541 100644 --- a/go.sum +++ b/go.sum @@ -1,11 +1,11 @@ filippo.io/edwards25519 v1.1.0 h1:FNf4tywRC1HmFuKW5xopWpigGjJKiJSV0Cqo0cJWDaA= filippo.io/edwards25519 v1.1.0/go.mod h1:BxyFTGdWcka3PhytdK4V28tE5sGfRvvvRV7EaN4VDT4= -github.com/99designs/gqlgen v0.17.87 h1:pSnCIMhBQezAE8bc1GNmfdLXFmnWtWl1GRDFEE/nHP8= -github.com/99designs/gqlgen v0.17.87/go.mod h1:fK05f1RqSNfQpd4CfW5qk/810Tqi4/56Wf6Nem0khAg= +github.com/99designs/gqlgen v0.17.88 h1:neMQDgehMwT1vYIOx/w5ZYPUU/iMNAJzRO44I5Intoc= +github.com/99designs/gqlgen v0.17.88/go.mod h1:qeqYFEgOeSKqWedOjogPizimp2iu4E23bdPvl4jTYic= github.com/Azure/go-ntlmssp v0.1.0 h1:DjFo6YtWzNqNvQdrwEyr/e4nhU3vRiwenz5QX7sFz+A= github.com/Azure/go-ntlmssp v0.1.0/go.mod h1:NYqdhxd/8aAct/s4qSYZEerdPuH1liG2/X9DiVTbhpk= -github.com/ClusterCockpit/cc-lib/v2 v2.8.0 h1:ROduRzRuusi+6kLB991AAu3Pp2AHOasQJFJc7JU/n/E= -github.com/ClusterCockpit/cc-lib/v2 v2.8.0/go.mod h1:FwD8vnTIbBM3ngeLNKmCvp9FoSjQZm7xnuaVxEKR23o= +github.com/ClusterCockpit/cc-lib/v2 v2.8.2 h1:rCLZk8wz8yq8xBnBEdVKigvA2ngR8dPmHbEFwxxb3jw= +github.com/ClusterCockpit/cc-lib/v2 v2.8.2/go.mod h1:FwD8vnTIbBM3ngeLNKmCvp9FoSjQZm7xnuaVxEKR23o= github.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0 h1:hIzxgTBWcmCIHtoDKDkSCsKCOCOwUC34sFsbD2wcW0Q= github.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0/go.mod h1:y42qUu+YFmu5fdNuUAS4VbbIKxVjxCvbVqFdpdh8ahY= github.com/DATA-DOG/go-sqlmock v1.5.2 h1:OcvFkGmslmlZibjAjaHm3L//6LiuBgolP7OputlJIzU= @@ -39,42 +39,42 @@ github.com/apapsch/go-jsonmerge/v2 v2.0.0 h1:axGnT1gRIfimI7gJifB699GoE/oq+F2MU7D github.com/apapsch/go-jsonmerge/v2 v2.0.0/go.mod h1:lvDnEdqiQrp0O42VQGgmlKpxL1AP2+08jFMw88y4klk= github.com/arbovm/levenshtein v0.0.0-20160628152529-48b4e1c0c4d0 h1:jfIu9sQUG6Ig+0+Ap1h4unLjW6YQJpKZVmUzxsD4E/Q= github.com/arbovm/levenshtein v0.0.0-20160628152529-48b4e1c0c4d0/go.mod h1:t2tdKJDJF9BV14lnkjHmOQgcvEKgtqs5a1N3LNdJhGE= -github.com/aws/aws-sdk-go-v2 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h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM= @@ -236,10 +236,10 @@ github.com/parquet-go/bitpack v1.0.0 h1:AUqzlKzPPXf2bCdjfj4sTeacrUwsT7NlcYDMUQxP github.com/parquet-go/bitpack v1.0.0/go.mod h1:XnVk9TH+O40eOOmvpAVZ7K2ocQFrQwysLMnc6M/8lgs= github.com/parquet-go/jsonlite v1.4.0 h1:RTG7prqfO0HD5egejU8MUDBN8oToMj55cgSV1I0zNW4= github.com/parquet-go/jsonlite v1.4.0/go.mod h1:nDjpkpL4EOtqs6NQugUsi0Rleq9sW/OtC1NnZEnxzF0= -github.com/parquet-go/parquet-go v0.28.0 h1:ECyksyv8T2pOrlLsN7aWJIoQakyk/HtxQ2lchgS4els= -github.com/parquet-go/parquet-go v0.28.0/go.mod h1:navtkAYr2LGoJVp141oXPlO/sxLvaOe3la2JEoD8+rg= -github.com/pierrec/lz4/v4 v4.1.25 h1:kocOqRffaIbU5djlIBr7Wh+cx82C0vtFb0fOurZHqD0= -github.com/pierrec/lz4/v4 v4.1.25/go.mod h1:EoQMVJgeeEOMsCqCzqFm2O0cJvljX2nGZjcRIPL34O4= +github.com/parquet-go/parquet-go v0.29.0 h1:xXlPtFVR51jpSVzf+cgHnNIcb7Xet+iuvkbe0HIm90Y= +github.com/parquet-go/parquet-go v0.29.0/go.mod h1:navtkAYr2LGoJVp141oXPlO/sxLvaOe3la2JEoD8+rg= +github.com/pierrec/lz4/v4 v4.1.26 h1:GrpZw1gZttORinvzBdXPUXATeqlJjqUG/D87TKMnhjY= +github.com/pierrec/lz4/v4 v4.1.26/go.mod h1:EoQMVJgeeEOMsCqCzqFm2O0cJvljX2nGZjcRIPL34O4= github.com/pkg/diff v0.0.0-20210226163009-20ebb0f2a09e/go.mod h1:pJLUxLENpZxwdsKMEsNbx1VGcRFpLqf3715MtcvvzbA= github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= github.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 h1:Jamvg5psRIccs7FGNTlIRMkT8wgtp5eCXdBlqhYGL6U= @@ -288,8 +288,8 @@ github.com/twpayne/go-geom v1.6.1 h1:iLE+Opv0Ihm/ABIcvQFGIiFBXd76oBIar9drAwHFhR4 github.com/twpayne/go-geom v1.6.1/go.mod h1:Kr+Nly6BswFsKM5sd31YaoWS5PeDDH2NftJTK7Gd028= github.com/urfave/cli/v2 v2.27.7 h1:bH59vdhbjLv3LAvIu6gd0usJHgoTTPhCFib8qqOwXYU= github.com/urfave/cli/v2 v2.27.7/go.mod h1:CyNAG/xg+iAOg0N4MPGZqVmv2rCoP267496AOXUZjA4= -github.com/urfave/cli/v3 v3.6.2 h1:lQuqiPrZ1cIz8hz+HcrG0TNZFxU70dPZ3Yl+pSrH9A8= -github.com/urfave/cli/v3 v3.6.2/go.mod h1:ysVLtOEmg2tOy6PknnYVhDoouyC/6N42TMeoMzskhso= +github.com/urfave/cli/v3 v3.7.0 h1:AGSnbUyjtLiM+WJUb4dzXKldl/gL+F8OwmRDtVr6g2U= +github.com/urfave/cli/v3 v3.7.0/go.mod h1:ysVLtOEmg2tOy6PknnYVhDoouyC/6N42TMeoMzskhso= github.com/vektah/gqlparser/v2 v2.5.32 h1:k9QPJd4sEDTL+qB4ncPLflqTJ3MmjB9SrVzJrawpFSc= github.com/vektah/gqlparser/v2 v2.5.32/go.mod h1:c1I28gSOVNzlfc4WuDlqU7voQnsqI6OG2amkBAFmgts= github.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 h1:FnBeRrxr7OU4VvAzt5X7s6266i6cSVkkFPS0TuXWbIg= @@ -305,31 +305,31 @@ go.yaml.in/yaml/v3 v3.0.4 h1:tfq32ie2Jv2UxXFdLJdh3jXuOzWiL1fo0bu/FbuKpbc= go.yaml.in/yaml/v3 v3.0.4/go.mod h1:DhzuOOF2ATzADvBadXxruRBLzYTpT36CKvDb3+aBEFg= golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w= golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc= -golang.org/x/crypto v0.48.0 h1:/VRzVqiRSggnhY7gNRxPauEQ5Drw9haKdM0jqfcCFts= -golang.org/x/crypto v0.48.0/go.mod h1:r0kV5h3qnFPlQnBSrULhlsRfryS2pmewsg+XfMgkVos= +golang.org/x/crypto v0.49.0 h1:+Ng2ULVvLHnJ/ZFEq4KdcDd/cfjrrjjNSXNzxg0Y4U4= +golang.org/x/crypto v0.49.0/go.mod h1:ErX4dUh2UM+CFYiXZRTcMpEcN8b/1gxEuv3nODoYtCA= golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4= -golang.org/x/mod v0.33.0 h1:tHFzIWbBifEmbwtGz65eaWyGiGZatSrT9prnU8DbVL8= -golang.org/x/mod v0.33.0/go.mod h1:swjeQEj+6r7fODbD2cqrnje9PnziFuw4bmLbBZFrQ5w= +golang.org/x/mod v0.34.0 h1:xIHgNUUnW6sYkcM5Jleh05DvLOtwc6RitGHbDk4akRI= +golang.org/x/mod v0.34.0/go.mod h1:ykgH52iCZe79kzLLMhyCUzhMci+nQj+0XkbXpNYtVjY= golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s= golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg= golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c= golang.org/x/net v0.7.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs= -golang.org/x/net v0.51.0 h1:94R/GTO7mt3/4wIKpcR5gkGmRLOuE/2hNGeWq/GBIFo= -golang.org/x/net v0.51.0/go.mod h1:aamm+2QF5ogm02fjy5Bb7CQ0WMt1/WVM7FtyaTLlA9Y= -golang.org/x/oauth2 v0.35.0 h1:Mv2mzuHuZuY2+bkyWXIHMfhNdJAdwW3FuWeCPYN5GVQ= -golang.org/x/oauth2 v0.35.0/go.mod h1:lzm5WQJQwKZ3nwavOZ3IS5Aulzxi68dUSgRHujetwEA= +golang.org/x/net v0.52.0 h1:He/TN1l0e4mmR3QqHMT2Xab3Aj3L9qjbhRm78/6jrW0= +golang.org/x/net v0.52.0/go.mod h1:R1MAz7uMZxVMualyPXb+VaqGSa3LIaUqk0eEt3w36Sw= +golang.org/x/oauth2 v0.36.0 h1:peZ/1z27fi9hUOFCAZaHyrpWG5lwe0RJEEEeH0ThlIs= +golang.org/x/oauth2 v0.36.0/go.mod h1:YDBUJMTkDnJS+A4BP4eZBjCqtokkg1hODuPjwiGPO7Q= golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= -golang.org/x/sync v0.19.0 h1:vV+1eWNmZ5geRlYjzm2adRgW2/mcpevXNg50YZtPCE4= -golang.org/x/sync v0.19.0/go.mod h1:9KTHXmSnoGruLpwFjVSX0lNNA75CykiMECbovNTZqGI= +golang.org/x/sync v0.20.0 h1:e0PTpb7pjO8GAtTs2dQ6jYa5BWYlMuX047Dco/pItO4= +golang.org/x/sync v0.20.0/go.mod h1:9xrNwdLfx4jkKbNva9FpL6vEN7evnE43NNNJQ2LF3+0= golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY= golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/sys v0.0.0-20220520151302-bc2c85ada10a/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= -golang.org/x/sys v0.41.0 h1:Ivj+2Cp/ylzLiEU89QhWblYnOE9zerudt9Ftecq2C6k= -golang.org/x/sys v0.41.0/go.mod h1:OgkHotnGiDImocRcuBABYBEXf8A9a87e/uXjp9XT3ks= +golang.org/x/sys v0.42.0 h1:omrd2nAlyT5ESRdCLYdm3+fMfNFE/+Rf4bDIQImRJeo= +golang.org/x/sys v0.42.0/go.mod h1:4GL1E5IUh+htKOUEOaiffhrAeqysfVGipDYzABqnCmw= golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo= golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8= golang.org/x/term v0.5.0/go.mod h1:jMB1sMXY+tzblOD4FWmEbocvup2/aLOaQEp7JmGp78k= @@ -337,15 +337,15 @@ golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ= golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ= golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ= golang.org/x/text v0.7.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8= -golang.org/x/text v0.34.0 h1:oL/Qq0Kdaqxa1KbNeMKwQq0reLCCaFtqu2eNuSeNHbk= -golang.org/x/text v0.34.0/go.mod h1:homfLqTYRFyVYemLBFl5GgL/DWEiH5wcsQ5gSh1yziA= -golang.org/x/time v0.14.0 h1:MRx4UaLrDotUKUdCIqzPC48t1Y9hANFKIRpNx+Te8PI= -golang.org/x/time v0.14.0/go.mod h1:eL/Oa2bBBK0TkX57Fyni+NgnyQQN4LitPmob2Hjnqw4= +golang.org/x/text v0.35.0 h1:JOVx6vVDFokkpaq1AEptVzLTpDe9KGpj5tR4/X+ybL8= +golang.org/x/text v0.35.0/go.mod h1:khi/HExzZJ2pGnjenulevKNX1W67CUy0AsXcNubPGCA= +golang.org/x/time v0.15.0 h1:bbrp8t3bGUeFOx08pvsMYRTCVSMk89u4tKbNOZbp88U= +golang.org/x/time v0.15.0/go.mod h1:Y4YMaQmXwGQZoFaVFk4YpCt4FLQMYKZe9oeV/f4MSno= golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ= golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtnZ6UAqBI28+e2cm9otk0dWdXHAEo= golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc= -golang.org/x/tools v0.42.0 h1:uNgphsn75Tdz5Ji2q36v/nsFSfR/9BRFvqhGBaJGd5k= -golang.org/x/tools v0.42.0/go.mod h1:Ma6lCIwGZvHK6XtgbswSoWroEkhugApmsXyrUmBhfr0= +golang.org/x/tools v0.43.0 h1:12BdW9CeB3Z+J/I/wj34VMl8X+fEXBxVR90JeMX5E7s= +golang.org/x/tools v0.43.0/go.mod h1:uHkMso649BX2cZK6+RpuIPXS3ho2hZo4FVwfoy1vIk0= golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0= google.golang.org/protobuf v1.36.11 h1:fV6ZwhNocDyBLK0dj+fg8ektcVegBBuEolpbTQyBNVE= google.golang.org/protobuf v1.36.11/go.mod h1:HTf+CrKn2C3g5S8VImy6tdcUvCska2kB7j23XfzDpco= diff --git a/internal/config/config.go b/internal/config/config.go index f635b7e4..e04d0a72 100644 --- a/internal/config/config.go +++ b/internal/config/config.go @@ -77,6 +77,17 @@ type ProgramConfig struct { // Node state retention configuration NodeStateRetention *NodeStateRetention `json:"nodestate-retention"` + + // Database tuning configuration + DbConfig *DbConfig `json:"db-config"` +} + +type DbConfig struct { + CacheSizeMB int `json:"cache-size-mb"` + SoftHeapLimitMB int `json:"soft-heap-limit-mb"` + MaxOpenConnections int `json:"max-open-connections"` + MaxIdleConnections int `json:"max-idle-connections"` + ConnectionMaxIdleTimeMins int `json:"max-idle-time-minutes"` } type NodeStateRetention struct { diff --git a/internal/config/schema.go b/internal/config/schema.go index 5e02732d..64d9bcf8 100644 --- a/internal/config/schema.go +++ b/internal/config/schema.go @@ -177,6 +177,32 @@ var configSchema = ` } }, "required": ["policy"] + }, + "db-config": { + "description": "SQLite database tuning configuration.", + "type": "object", + "properties": { + "cache-size-mb": { + "description": "SQLite page cache size per connection in MB (default: 2048).", + "type": "integer" + }, + "soft-heap-limit-mb": { + "description": "Process-wide SQLite soft heap limit in MB (default: 16384).", + "type": "integer" + }, + "max-open-connections": { + "description": "Maximum number of open database connections (default: 4).", + "type": "integer" + }, + "max-idle-connections": { + "description": "Maximum number of idle database connections (default: 4).", + "type": "integer" + }, + "max-idle-time-minutes": { + "description": "Maximum idle time for a connection in minutes (default: 10).", + "type": "integer" + } + } } } }` diff --git a/internal/graph/generated/generated.go b/internal/graph/generated/generated.go index 8d773222..9af36ffd 100644 --- a/internal/graph/generated/generated.go +++ b/internal/graph/generated/generated.go @@ -13209,6 +13209,10 @@ func (ec *executionContext) fieldContext___Type_isOneOf(_ context.Context, field func (ec *executionContext) unmarshalInputFloatRange(ctx context.Context, obj any) (model.FloatRange, error) { var it model.FloatRange + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13242,6 +13246,10 @@ func (ec *executionContext) unmarshalInputFloatRange(ctx context.Context, obj an func (ec *executionContext) unmarshalInputIntRange(ctx context.Context, obj any) (config.IntRange, error) { var it config.IntRange + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13275,6 +13283,10 @@ func (ec *executionContext) unmarshalInputIntRange(ctx context.Context, obj any) func (ec *executionContext) unmarshalInputJobFilter(ctx context.Context, obj any) (model.JobFilter, error) { var it model.JobFilter + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13448,6 +13460,10 @@ func (ec *executionContext) unmarshalInputJobFilter(ctx context.Context, obj any func (ec *executionContext) unmarshalInputMetricStatItem(ctx context.Context, obj any) (model.MetricStatItem, error) { var it model.MetricStatItem + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13481,6 +13497,10 @@ func (ec *executionContext) unmarshalInputMetricStatItem(ctx context.Context, ob func (ec *executionContext) unmarshalInputNodeFilter(ctx context.Context, obj any) (model.NodeFilter, error) { var it model.NodeFilter + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13542,6 +13562,10 @@ func (ec *executionContext) unmarshalInputNodeFilter(ctx context.Context, obj an func (ec *executionContext) unmarshalInputOrderByInput(ctx context.Context, obj any) (model.OrderByInput, error) { var it model.OrderByInput + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13586,6 +13610,10 @@ func (ec *executionContext) unmarshalInputOrderByInput(ctx context.Context, obj func (ec *executionContext) unmarshalInputPageRequest(ctx context.Context, obj any) (model.PageRequest, error) { var it model.PageRequest + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13619,6 +13647,10 @@ func (ec *executionContext) unmarshalInputPageRequest(ctx context.Context, obj a func (ec *executionContext) unmarshalInputStringInput(ctx context.Context, obj any) (model.StringInput, error) { var it model.StringInput + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v @@ -13680,6 +13712,10 @@ func (ec *executionContext) unmarshalInputStringInput(ctx context.Context, obj a func (ec *executionContext) unmarshalInputTimeRange(ctx context.Context, obj any) (config.TimeRange, error) { var it config.TimeRange + if obj == nil { + return it, nil + } + asMap := map[string]any{} for k, v := range obj.(map[string]any) { asMap[k] = v diff --git a/internal/graph/schema.resolvers.go b/internal/graph/schema.resolvers.go index 4c398ee3..3e923696 100644 --- a/internal/graph/schema.resolvers.go +++ b/internal/graph/schema.resolvers.go @@ -3,7 +3,7 @@ package graph // This file will be automatically regenerated based on the schema, any resolver // implementations // will be copied through when generating and any unknown code will be moved to the end. -// Code generated by github.com/99designs/gqlgen version v0.17.87 +// Code generated by github.com/99designs/gqlgen version v0.17.88 import ( "context" @@ -652,31 +652,65 @@ func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobF defaultDurationBins := "1h" defaultMetricBins := 10 - if requireField(ctx, "totalJobs") || requireField(ctx, "totalUsers") || requireField(ctx, "totalWalltime") || requireField(ctx, "totalNodes") || requireField(ctx, "totalCores") || - requireField(ctx, "totalAccs") || requireField(ctx, "totalNodeHours") || requireField(ctx, "totalCoreHours") || requireField(ctx, "totalAccHours") { + // Build requested fields map for selective column computation + statsFields := []string{ + "totalJobs", "totalUsers", "totalWalltime", "totalNodes", "totalCores", + "totalAccs", "totalNodeHours", "totalCoreHours", "totalAccHours", "runningJobs", "shortJobs", + } + reqFields := make(map[string]bool, len(statsFields)) + fetchedMainStats := false + for _, f := range statsFields { + if requireField(ctx, f) { + reqFields[f] = true + if f != "runningJobs" && f != "shortJobs" { + fetchedMainStats = true + } + } + } + + if fetchedMainStats { if groupBy == nil { - stats, err = r.Repo.JobsStats(ctx, filter) + stats, err = r.Repo.JobsStats(ctx, filter, reqFields) } else { - stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy) + startGrouped := time.Now() + // Use request-scoped cache: multiple aliases with same (filter, groupBy) + // but different sortBy/page hit the DB only once. + if cache := getStatsGroupCache(ctx); cache != nil { + key := statsCacheKey(filter, groupBy) + var allStats []*model.JobsStatistics + allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) { + return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil) + }) + if err == nil { + stats = sortAndPageStats(allStats, sortBy, page) + } + } else { + stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields) + } + cclog.Infof("Timer JobsStatsGrouped call: %s", time.Since(startGrouped)) } } else { stats = make([]*model.JobsStatistics, 0, 1) stats = append(stats, &model.JobsStatistics{}) } - if groupBy != nil { - if requireField(ctx, "shortJobs") { - stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "short") - } - if requireField(ctx, "runningJobs") { - stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "running") - } - } else { - if requireField(ctx, "shortJobs") { - stats, err = r.Repo.AddJobCount(ctx, filter, stats, "short") - } - if requireField(ctx, "runningJobs") { - stats, err = r.Repo.AddJobCount(ctx, filter, stats, "running") + // runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped. + // Only run separate count queries if main stats were not fetched. + if !fetchedMainStats { + if groupBy != nil { + if requireField(ctx, "shortJobs") { + stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "short") + } + if requireField(ctx, "runningJobs") { + stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "running") + } + } else { + if requireField(ctx, "shortJobs") { + stats, err = r.Repo.AddJobCount(ctx, filter, stats, "short") + } + if requireField(ctx, "runningJobs") { + stats, err = r.Repo.AddJobCount(ctx, filter, stats, "running") + } } } diff --git a/internal/graph/stats_cache.go b/internal/graph/stats_cache.go new file mode 100644 index 00000000..2dbb5ca5 --- /dev/null +++ b/internal/graph/stats_cache.go @@ -0,0 +1,135 @@ +// Copyright (C) NHR@FAU, University Erlangen-Nuremberg. +// All rights reserved. This file is part of cc-backend. +// Use of this source code is governed by a MIT-style +// license that can be found in the LICENSE file. + +package graph + +import ( + "context" + "fmt" + "slices" + "sync" + + "github.com/ClusterCockpit/cc-backend/internal/graph/model" +) + +// statsGroupCache is a per-request cache for grouped JobsStatistics results. +// It deduplicates identical (filter+groupBy) SQL queries that arise when the +// frontend requests multiple sort/page slices of the same underlying data +// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER). +type statsGroupCache struct { + mu sync.Mutex + entries map[string]*cacheEntry +} + +type cacheEntry struct { + once sync.Once + result []*model.JobsStatistics + err error +} + +type ctxKey int + +const statsGroupCacheKey ctxKey = iota + +// newStatsGroupCache creates a new empty cache. +func newStatsGroupCache() *statsGroupCache { + return &statsGroupCache{ + entries: make(map[string]*cacheEntry), + } +} + +// WithStatsGroupCache injects a new cache into the context. +func WithStatsGroupCache(ctx context.Context) context.Context { + return context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache()) +} + +// getStatsGroupCache retrieves the cache from context, or nil if absent. +func getStatsGroupCache(ctx context.Context) *statsGroupCache { + if c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok { + return c + } + return nil +} + +// cacheKey builds a deterministic string key from filter + groupBy. +func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string { + return fmt.Sprintf("%v|%v", filter, *groupBy) +} + +// getOrCompute returns cached results for the given key, computing them on +// first access via the provided function. +func (c *statsGroupCache) getOrCompute( + key string, + compute func() ([]*model.JobsStatistics, error), +) ([]*model.JobsStatistics, error) { + c.mu.Lock() + entry, ok := c.entries[key] + if !ok { + entry = &cacheEntry{} + c.entries[key] = entry + } + c.mu.Unlock() + + entry.once.Do(func() { + entry.result, entry.err = compute() + }) + return entry.result, entry.err +} + +// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending) +// and returns the requested page slice. +func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics { + // Work on a shallow copy so the cached slice order is not mutated. + sorted := make([]*model.JobsStatistics, len(allStats)) + copy(sorted, allStats) + + if sortBy != nil { + getter := statsFieldGetter(*sortBy) + slices.SortFunc(sorted, func(a, b *model.JobsStatistics) int { + return getter(b) - getter(a) // descending + }) + } + + if page != nil && page.ItemsPerPage != -1 { + start := (page.Page - 1) * page.ItemsPerPage + if start >= len(sorted) { + return nil + } + end := start + page.ItemsPerPage + if end > len(sorted) { + end = len(sorted) + } + sorted = sorted[start:end] + } + + return sorted +} + +// statsFieldGetter returns a function that extracts the sortable int field +// from a JobsStatistics struct for the given sort key. +func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int { + switch sortBy { + case model.SortByAggregateTotaljobs: + return func(s *model.JobsStatistics) int { return s.TotalJobs } + case model.SortByAggregateTotalusers: + return func(s *model.JobsStatistics) int { return s.TotalUsers } + case model.SortByAggregateTotalwalltime: + return func(s *model.JobsStatistics) int { return s.TotalWalltime } + case model.SortByAggregateTotalnodes: + return func(s *model.JobsStatistics) int { return s.TotalNodes } + case model.SortByAggregateTotalnodehours: + return func(s *model.JobsStatistics) int { return s.TotalNodeHours } + case model.SortByAggregateTotalcores: + return func(s *model.JobsStatistics) int { return s.TotalCores } + case model.SortByAggregateTotalcorehours: + return func(s *model.JobsStatistics) int { return s.TotalCoreHours } + case model.SortByAggregateTotalaccs: + return func(s *model.JobsStatistics) int { return s.TotalAccs } + case model.SortByAggregateTotalacchours: + return func(s *model.JobsStatistics) int { return s.TotalAccHours } + default: + return func(s *model.JobsStatistics) int { return s.TotalJobs } + } +} diff --git a/internal/repository/config.go b/internal/repository/config.go index 114702f3..2bd4f749 100644 --- a/internal/repository/config.go +++ b/internal/repository/config.go @@ -27,13 +27,25 @@ type RepositoryConfig struct { ConnectionMaxLifetime time.Duration // ConnectionMaxIdleTime is the maximum amount of time a connection may be idle. - // Default: 1 hour + // Default: 10 minutes ConnectionMaxIdleTime time.Duration // MinRunningJobDuration is the minimum duration in seconds for a job to be // considered in "running jobs" queries. This filters out very short jobs. // Default: 600 seconds (10 minutes) MinRunningJobDuration int + + // DbCacheSizeMB is the SQLite page cache size per connection in MB. + // Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4 + // and DbCacheSizeMB=2048, total page cache is up to 8GB. + // Default: 2048 (2GB) + DbCacheSizeMB int + + // DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB. + // SQLite will try to release cache pages to stay under this limit. + // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive. + // Default: 16384 (16GB) + DbSoftHeapLimitMB int } // DefaultConfig returns the default repository configuration. @@ -44,8 +56,10 @@ func DefaultConfig() *RepositoryConfig { MaxOpenConnections: 4, MaxIdleConnections: 4, ConnectionMaxLifetime: time.Hour, - ConnectionMaxIdleTime: time.Hour, + ConnectionMaxIdleTime: 10 * time.Minute, MinRunningJobDuration: 600, // 10 minutes + DbCacheSizeMB: 2048, // 2GB per connection + DbSoftHeapLimitMB: 16384, // 16GB process-wide } } diff --git a/internal/repository/dbConnection.go b/internal/repository/dbConnection.go index d67d3227..23a19c93 100644 --- a/internal/repository/dbConnection.go +++ b/internal/repository/dbConnection.go @@ -36,9 +36,10 @@ type DatabaseOptions struct { ConnectionMaxIdleTime time.Duration } -func setupSqlite(db *sql.DB) error { +func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error { pragmas := []string{ "temp_store = memory", + fmt.Sprintf("soft_heap_limit = %d", int64(cfg.DbSoftHeapLimitMB)*1024*1024), } for _, pragma := range pragmas { @@ -71,7 +72,8 @@ func Connect(db string) { connectionURLParams.Add("_journal_mode", "WAL") connectionURLParams.Add("_busy_timeout", "5000") connectionURLParams.Add("_synchronous", "NORMAL") - connectionURLParams.Add("_cache_size", "1000000000") + cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB + connectionURLParams.Add("_cache_size", fmt.Sprintf("-%d", cacheSizeKiB)) connectionURLParams.Add("_foreign_keys", "true") opts.URL = fmt.Sprintf("file:%s?%s", opts.URL, connectionURLParams.Encode()) @@ -86,11 +88,14 @@ func Connect(db string) { cclog.Abortf("DB Connection: Could not connect to SQLite database with sqlx.Open().\nError: %s\n", err.Error()) } - err = setupSqlite(dbHandle.DB) + err = setupSqlite(dbHandle.DB, repoConfig) if err != nil { cclog.Abortf("Failed sqlite db setup.\nError: %s\n", err.Error()) } + cclog.Infof("SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d", + repoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections) + dbHandle.SetMaxOpenConns(opts.MaxOpenConnections) dbHandle.SetMaxIdleConns(opts.MaxIdleConnections) dbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime) diff --git a/internal/repository/job.go b/internal/repository/job.go index 566a13b1..3b237bce 100644 --- a/internal/repository/job.go +++ b/internal/repository/job.go @@ -1066,7 +1066,7 @@ func (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) { // Note: Query expects index on (job_state, start_time) for optimal performance q := sq.Select("job.cluster", "job.resources").From("job"). Where("job.start_time < ?", ts). - Where(sq.Eq{"job.job_state": "running"}) + Where("job.job_state = 'running'") rows, err := q.RunWith(r.stmtCache).Query() if err != nil { diff --git a/internal/repository/jobCreate.go b/internal/repository/jobCreate.go index 07c8ce11..7047f12f 100644 --- a/internal/repository/jobCreate.go +++ b/internal/repository/jobCreate.go @@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) { _, err = r.DB.Exec( "INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache") if err != nil { - cclog.Warnf("Error while Job sync: %v", err) + cclog.Errorf("Error while Job sync: %v", err) return nil, err } _, err = r.DB.Exec("DELETE FROM job_cache") if err != nil { - cclog.Warnf("Error while Job cache clean: %v", err) + cclog.Errorf("Error while Job cache clean: %v", err) return nil, err } @@ -211,4 +211,3 @@ func (r *JobRepository) Stop( _, err = stmt.RunWith(r.stmtCache).Exec() return err } - diff --git a/internal/repository/jobFind.go b/internal/repository/jobFind.go index 13dd4418..45310296 100644 --- a/internal/repository/jobFind.go +++ b/internal/repository/jobFind.go @@ -171,7 +171,7 @@ func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, return nil, qerr } - return scanJob(q.RunWith(r.stmtCache).QueryRow()) + return scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx)) } // FindByIDWithUser executes a SQL query to find a specific batch job. @@ -217,7 +217,7 @@ func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime return nil, qerr } - return scanJob(q.RunWith(r.stmtCache).QueryRow()) + return scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx)) } // IsJobOwner checks if the specified user owns the batch job identified by jobID, diff --git a/internal/repository/jobQuery.go b/internal/repository/jobQuery.go index c3fbe042..efa1c155 100644 --- a/internal/repository/jobQuery.go +++ b/internal/repository/jobQuery.go @@ -63,7 +63,7 @@ func (r *JobRepository) QueryJobs( } } else { // Order by footprint JSON field values - query = query.Where("JSON_VALID(meta_data)") + query = query.Where("JSON_VALID(footprint)") switch order.Order { case model.SortDirectionEnumAsc: query = query.OrderBy(fmt.Sprintf("JSON_EXTRACT(footprint, \"$.%s\") ASC", field)) @@ -84,7 +84,7 @@ func (r *JobRepository) QueryJobs( query = BuildWhereClause(f, query) } - rows, err := query.RunWith(r.stmtCache).Query() + rows, err := query.RunWith(r.stmtCache).QueryContext(ctx) if err != nil { queryString, queryVars, _ := query.ToSql() return nil, fmt.Errorf("query failed [%s] %v: %w", queryString, queryVars, err) @@ -126,7 +126,7 @@ func (r *JobRepository) CountJobs( } var count int - if err := query.RunWith(r.DB).Scan(&count); err != nil { + if err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil { return 0, fmt.Errorf("failed to count jobs: %w", err) } @@ -197,14 +197,22 @@ func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.Select query = buildStringCondition("job.cluster_partition", filter.Partition, query) } if filter.State != nil { - states := make([]string, len(filter.State)) - for i, val := range filter.State { - states[i] = string(val) + if len(filter.State) == 1 { + // Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running'). + // Safe: values come from validated GraphQL enum (model.JobState). + singleStat := string(filter.State[0]) + query = query.Where(fmt.Sprintf("job.job_state = '%s'", singleStat)) + } else { + states := make([]string, len(filter.State)) + for i, val := range filter.State { + states[i] = string(val) + } + query = query.Where(sq.Eq{"job.job_state": states}) } - query = query.Where(sq.Eq{"job.job_state": states}) } if filter.Shared != nil { - query = query.Where("job.shared = ?", *filter.Shared) + // Inline literal value so SQLite can match partial indexes (see above). + query = query.Where(fmt.Sprintf("job.shared = '%s'", *filter.Shared)) } if filter.Project != nil { query = buildStringCondition("job.project", filter.Project, query) @@ -222,7 +230,8 @@ func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.Select query = buildIntCondition("job.num_hwthreads", filter.NumHWThreads, query) } if filter.ArrayJobID != nil { - query = query.Where("job.array_job_id = ?", *filter.ArrayJobID) + // Inline literal value so SQLite can match partial indexes (see above). + query = query.Where(fmt.Sprintf("job.array_job_id = %d", *filter.ArrayJobID)) } if filter.StartTime != nil { query = buildTimeCondition("job.start_time", filter.StartTime, query) @@ -276,28 +285,26 @@ func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.Select return query } -// buildIntCondition creates a BETWEEN clause for integer range filters. -// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required +// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required. func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder { - if cond.From != 0 && cond.To != 0 { + if cond.From != 1 && cond.To != 0 { return query.Where(field+" BETWEEN ? AND ?", cond.From, cond.To) - } else if cond.From != 0 { + } else if cond.From != 1 && cond.To == 0 { return query.Where(field+" >= ?", cond.From) - } else if cond.To != 0 { + } else if cond.From == 1 && cond.To != 0 { return query.Where(field+" <= ?", cond.To) } else { return query } } -// buildFloatCondition creates a BETWEEN clause for float range filters. -// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required +// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required. func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder { - if cond.From != 0.0 && cond.To != 0.0 { + if cond.From != 1.0 && cond.To != 0.0 { return query.Where(field+" BETWEEN ? AND ?", cond.From, cond.To) - } else if cond.From != 0.0 { + } else if cond.From != 1.0 && cond.To == 0.0 { return query.Where(field+" >= ?", cond.From) - } else if cond.To != 0.0 { + } else if cond.From == 1.0 && cond.To != 0.0 { return query.Where(field+" <= ?", cond.To) } else { return query @@ -336,16 +343,15 @@ func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBui } } -// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column. -// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required -func buildFloatJSONCondition(condName string, condRange *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder { +// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required. +func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder { query = query.Where("JSON_VALID(footprint)") - if condRange.From != 0.0 && condRange.To != 0.0 { - return query.Where("JSON_EXTRACT(footprint, \"$."+condName+"\") BETWEEN ? AND ?", condRange.From, condRange.To) - } else if condRange.From != 0.0 { - return query.Where("JSON_EXTRACT(footprint, \"$."+condName+"\") >= ?", condRange.From) - } else if condRange.To != 0.0 { - return query.Where("JSON_EXTRACT(footprint, \"$."+condName+"\") <= ?", condRange.To) + if cond.From != 1.0 && cond.To != 0.0 { + return query.Where("JSON_EXTRACT(footprint, \"$."+jsonField+"\") BETWEEN ? AND ?", cond.From, cond.To) + } else if cond.From != 1.0 && cond.To == 0.0 { + return query.Where("JSON_EXTRACT(footprint, \"$."+jsonField+"\") >= ?", cond.From) + } else if cond.From == 1.0 && cond.To != 0.0 { + return query.Where("JSON_EXTRACT(footprint, \"$."+jsonField+"\") <= ?", cond.To) } else { return query } diff --git a/internal/repository/migration.go b/internal/repository/migration.go index 0f99889e..3a8f5e6c 100644 --- a/internal/repository/migration.go +++ b/internal/repository/migration.go @@ -21,10 +21,11 @@ import ( // is added to internal/repository/migrations/sqlite3/. // // Version history: -// - Version 10: Current version +// - Version 11: Optimize job table indexes (reduce from ~78 to 48, add covering/partial indexes) +// - Version 10: Node table // // Migration files are embedded at build time from the migrations directory. -const Version uint = 10 +const Version uint = 11 //go:embed migrations/* var migrationFiles embed.FS diff --git a/internal/repository/migrations/sqlite3/08_add-footprint.down.sql b/internal/repository/migrations/sqlite3/08_add-footprint.down.sql index cc2d3e95..fefa54f6 100644 --- a/internal/repository/migrations/sqlite3/08_add-footprint.down.sql +++ b/internal/repository/migrations/sqlite3/08_add-footprint.down.sql @@ -101,3 +101,5 @@ DROP INDEX IF EXISTS jobs_numnodes_starttime; DROP INDEX IF EXISTS jobs_numhwthreads_starttime; DROP INDEX IF EXISTS jobs_numacc_starttime; DROP INDEX IF EXISTS jobs_energy_starttime; + +PRAGMA optimize; diff --git a/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql b/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql index 6e1ac009..8d147ba5 100644 --- a/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql +++ b/internal/repository/migrations/sqlite3/09_add-job-cache.up.sql @@ -139,12 +139,6 @@ CREATE INDEX IF NOT EXISTS jobs_cluster_partition_project ON job (cluster, clust CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state); CREATE INDEX IF NOT EXISTS jobs_cluster_partition_shared ON job (cluster, cluster_partition, shared); --- Cluster+Partition Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc); -CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy); - -- Cluster+Partition Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration_starttime ON job (cluster, cluster_partition, duration, start_time); CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (cluster, cluster_partition, start_time, duration); @@ -152,11 +146,6 @@ CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime_duration ON job (clu -- Cluster+JobState Filter CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user); CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project); --- Cluster+JobState Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc); -CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy); -- Cluster+JobState Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime_duration ON job (cluster, job_state, start_time, duration); @@ -165,34 +154,18 @@ CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration_starttime ON job (clus -- Cluster+Shared Filter CREATE INDEX IF NOT EXISTS jobs_cluster_shared_user ON job (cluster, shared, hpc_user); CREATE INDEX IF NOT EXISTS jobs_cluster_shared_project ON job (cluster, shared, project); --- Cluster+Shared Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc); -CREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy); -- Cluster+Shared Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_cluster_shared_starttime_duration ON job (cluster, shared, start_time, duration); CREATE INDEX IF NOT EXISTS jobs_cluster_shared_duration_starttime ON job (cluster, shared, duration, start_time); -- User Filter --- User Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc); -CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy); - -- Cluster+Shared Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_user_starttime_duration ON job (hpc_user, start_time, duration); CREATE INDEX IF NOT EXISTS jobs_user_duration_starttime ON job (hpc_user, duration, start_time); -- Project Filter CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user); --- Project Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc); -CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy); -- Cluster+Shared Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_project_starttime_duration ON job (project, start_time, duration); @@ -201,11 +174,6 @@ CREATE INDEX IF NOT EXISTS jobs_project_duration_starttime ON job (project, dura -- JobState Filter CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user); CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project); --- JobState Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc); -CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy); -- Cluster+Shared Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime_duration ON job (job_state, start_time, duration); @@ -214,11 +182,6 @@ CREATE INDEX IF NOT EXISTS jobs_jobstate_duration_starttime ON job (job_state, d -- Shared Filter CREATE INDEX IF NOT EXISTS jobs_shared_user ON job (shared, hpc_user); CREATE INDEX IF NOT EXISTS jobs_shared_project ON job (shared, project); --- Shared Filter Sorting -CREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes); -CREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads); -CREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc); -CREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy); -- Cluster+Shared Time Filter Sorting CREATE INDEX IF NOT EXISTS jobs_shared_starttime_duration ON job (shared, start_time, duration); @@ -226,7 +189,6 @@ CREATE INDEX IF NOT EXISTS jobs_shared_duration_starttime ON job (shared, durati -- ArrayJob Filter CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time); -CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time); -- Single filters with default starttime sorting CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time); @@ -244,7 +206,6 @@ CREATE INDEX IF NOT EXISTS jobs_energy_duration ON job (energy, duration); -- Backup Indices For High Variety Columns CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time); -CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration); -- Notes: -- Cluster+Partition+Jobstate Filter: Tested -> Full Array Of Combinations non-required diff --git a/internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql b/internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql new file mode 100644 index 00000000..c5c4553c --- /dev/null +++ b/internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql @@ -0,0 +1,73 @@ +-- Migration 11 DOWN: Restore indexes from migration 09 + +-- Drop partial indexes for running jobs +DROP INDEX IF EXISTS jobs_running_user_stats; +DROP INDEX IF EXISTS jobs_running_project_stats; +DROP INDEX IF EXISTS jobs_running_subcluster_stats; + +-- Drop covering status indexes, restore 3-col indexes +DROP INDEX IF EXISTS jobs_cluster_jobstate_user_stats; +DROP INDEX IF EXISTS jobs_cluster_jobstate_project_stats; +DROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats; + +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user + ON job (cluster, job_state, hpc_user); + +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project + ON job (cluster, job_state, project); + +-- Drop covering stats indexes +DROP INDEX IF EXISTS jobs_cluster_user_starttime_stats; +DROP INDEX IF EXISTS jobs_cluster_project_starttime_stats; + +-- Recreate all removed indexes from migration 09 + +-- Cluster+Partition Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc); +CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy); + +-- Cluster+JobState Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc); +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy); + +-- Cluster+Shared Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc); +CREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy); + +-- User Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc); +CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy); + +-- Project Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc); +CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy); + +-- JobState Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc); +CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy); + +-- Shared Filter Sorting +CREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes); +CREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads); +CREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc); +CREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy); + +-- ArrayJob Filter +CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time); + +-- Backup Indices For High Variety Columns +CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration); + +PRAGMA optimize; diff --git a/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql b/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql new file mode 100644 index 00000000..666bcb7b --- /dev/null +++ b/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql @@ -0,0 +1,110 @@ +-- Migration 11: Optimize job table indexes +-- - Remove overly specific sorting indexes (reduces ~78 → 48) +-- - Add covering index for grouped stats queries +-- - Add covering indexes for status/dashboard queries +-- - Add partial covering indexes for running jobs (tiny B-tree) + +-- ============================================================ +-- Drop SELECTED existing job indexes (from migrations 08/09) +-- sqlite_autoindex_job_1 (UNIQUE constraint) is kept automatically +-- ============================================================ + +-- Cluster+Partition Filter Sorting +DROP INDEX IF EXISTS jobs_cluster_partition_numnodes; +DROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads; +DROP INDEX IF EXISTS jobs_cluster_partition_numacc; +DROP INDEX IF EXISTS jobs_cluster_partition_energy; + +-- Cluster+JobState Filter Sorting +DROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes; +DROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads; +DROP INDEX IF EXISTS jobs_cluster_jobstate_numacc; +DROP INDEX IF EXISTS jobs_cluster_jobstate_energy; + +-- Cluster+Shared Filter Sorting +DROP INDEX IF EXISTS jobs_cluster_shared_numnodes; +DROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads; +DROP INDEX IF EXISTS jobs_cluster_shared_numacc; +DROP INDEX IF EXISTS jobs_cluster_shared_energy; + +-- User Filter Sorting +DROP INDEX IF EXISTS jobs_user_numnodes; +DROP INDEX IF EXISTS jobs_user_numhwthreads; +DROP INDEX IF EXISTS jobs_user_numacc; +DROP INDEX IF EXISTS jobs_user_energy; + +-- Project Filter Sorting +DROP INDEX IF EXISTS jobs_project_numnodes; +DROP INDEX IF EXISTS jobs_project_numhwthreads; +DROP INDEX IF EXISTS jobs_project_numacc; +DROP INDEX IF EXISTS jobs_project_energy; + +-- JobState Filter Sorting +DROP INDEX IF EXISTS jobs_jobstate_numnodes; +DROP INDEX IF EXISTS jobs_jobstate_numhwthreads; +DROP INDEX IF EXISTS jobs_jobstate_numacc; +DROP INDEX IF EXISTS jobs_jobstate_energy; + +-- Shared Filter Sorting +DROP INDEX IF EXISTS jobs_shared_numnodes; +DROP INDEX IF EXISTS jobs_shared_numhwthreads; +DROP INDEX IF EXISTS jobs_shared_numacc; +DROP INDEX IF EXISTS jobs_shared_energy; + +-- ArrayJob Filter +DROP INDEX IF EXISTS jobs_cluster_arrayjobid_starttime; + +-- Backup Indices For High Variety Columns +DROP INDEX IF EXISTS jobs_duration; + +-- ============================================================ +-- Covering indexes for grouped stats queries +-- Column order: cluster (equality), hpc_user/project (GROUP BY), start_time (range scan) +-- Includes aggregated columns to avoid main table lookups entirely. +-- ============================================================ + +CREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats + ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc); + +CREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats + ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc); + +-- ============================================================ +-- Covering indexes for status/dashboard queries +-- Column order: cluster (equality), job_state (equality), grouping col, then aggregated columns +-- These indexes allow the status views to be served entirely from index scans. +-- ============================================================ + +-- Drop 3-col indexes that are subsumed by the covering indexes below +DROP INDEX IF EXISTS jobs_cluster_jobstate_user; +DROP INDEX IF EXISTS jobs_cluster_jobstate_project; + +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats + ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc); + +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats + ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc); + +CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats + ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc); + +-- ============================================================ +-- Partial covering indexes for running jobs +-- Only running jobs are in the B-tree, so these indexes are tiny compared to +-- the full-table indexes above. SQLite uses them when the query contains the +-- literal `job_state = 'running'` (not a parameter placeholder). +-- ============================================================ + +CREATE INDEX IF NOT EXISTS jobs_running_user_stats + ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time) + WHERE job_state = 'running'; + +CREATE INDEX IF NOT EXISTS jobs_running_project_stats + ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time) + WHERE job_state = 'running'; + +CREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats + ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time) + WHERE job_state = 'running'; + +PRAGMA optimize; diff --git a/internal/repository/node.go b/internal/repository/node.go index 09415bef..116b9868 100644 --- a/internal/repository/node.go +++ b/internal/repository/node.go @@ -366,19 +366,23 @@ func (r *NodeRepository) QueryNodes( cclog.Errorf("Error while running query '%s' %v: %v", queryString, queryVars, err) return nil, err } + defer rows.Close() nodes := make([]*schema.Node, 0) for rows.Next() { node := schema.Node{} if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil { - rows.Close() cclog.Warn("Error while scanning rows (QueryNodes)") return nil, err } nodes = append(nodes, &node) } + if err := rows.Err(); err != nil { + return nil, err + } + return nodes, nil } @@ -415,6 +419,7 @@ func (r *NodeRepository) QueryNodesWithMeta( cclog.Errorf("Error while running query '%s' %v: %v", queryString, queryVars, err) return nil, err } + defer rows.Close() nodes := make([]*schema.Node, 0) for rows.Next() { @@ -424,7 +429,6 @@ func (r *NodeRepository) QueryNodesWithMeta( if err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil { - rows.Close() cclog.Warn("Error while scanning rows (QueryNodes)") return nil, err } @@ -454,6 +458,10 @@ func (r *NodeRepository) QueryNodesWithMeta( nodes = append(nodes, &node) } + if err := rows.Err(); err != nil { + return nil, err + } + return nodes, nil } @@ -545,10 +553,11 @@ func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) { func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) { query, qerr := AccessCheck(ctx, - sq.Select(column). + sq.Select(column, "COUNT(*) as count"). From("node"). Join("node_state ON node_state.node_id = node.id"). - Where(latestStateCondition())) + Where(latestStateCondition()). + GroupBy(column)) if qerr != nil { return nil, qerr } @@ -561,23 +570,21 @@ func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeF cclog.Errorf("Error while running query '%s' %v: %v", queryString, queryVars, err) return nil, err } + defer rows.Close() - stateMap := map[string]int{} + nodes := make([]*model.NodeStates, 0) for rows.Next() { var state string - if err := rows.Scan(&state); err != nil { - rows.Close() + var count int + if err := rows.Scan(&state, &count); err != nil { cclog.Warn("Error while scanning rows (CountStates)") return nil, err } - - stateMap[state] += 1 + nodes = append(nodes, &model.NodeStates{State: state, Count: count}) } - nodes := make([]*model.NodeStates, 0) - for state, counts := range stateMap { - node := model.NodeStates{State: state, Count: counts} - nodes = append(nodes, &node) + if err := rows.Err(); err != nil { + return nil, err } return nodes, nil @@ -623,6 +630,7 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model. cclog.Errorf("Error while running query '%s' %v: %v", queryString, queryVars, err) return nil, err } + defer rows.Close() rawData := make(map[string][][]int) for rows.Next() { @@ -630,7 +638,6 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model. var timestamp, count int if err := rows.Scan(&state, ×tamp, &count); err != nil { - rows.Close() cclog.Warnf("Error while scanning rows (CountStatesTimed) at time '%d'", timestamp) return nil, err } @@ -643,6 +650,10 @@ func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model. rawData[state][1] = append(rawData[state][1], count) } + if err := rows.Err(); err != nil { + return nil, err + } + timedStates := make([]*model.NodeStatesTimed, 0) for state, data := range rawData { entry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]} diff --git a/internal/repository/stats.go b/internal/repository/stats.go index 0ceb92f2..18f3e120 100644 --- a/internal/repository/stats.go +++ b/internal/repository/stats.go @@ -55,6 +55,7 @@ import ( cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger" "github.com/ClusterCockpit/cc-lib/v2/schema" sq "github.com/Masterminds/squirrel" + "golang.org/x/sync/errgroup" ) // groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names. @@ -105,14 +106,14 @@ func (r *JobRepository) buildCountQuery( var query sq.SelectBuilder if col != "" { - query = sq.Select(col, "COUNT(job.id)").From("job").GroupBy(col) + query = sq.Select(col, "COUNT(*)").From("job").GroupBy(col) } else { - query = sq.Select("COUNT(job.id)").From("job") + query = sq.Select("COUNT(*)").From("job") } switch kind { case "running": - query = query.Where("job.job_state = ?", "running") + query = query.Where("job.job_state = 'running'") case "short": query = query.Where("job.duration < ?", config.Keys.ShortRunningJobsDuration) } @@ -124,59 +125,100 @@ func (r *JobRepository) buildCountQuery( return query } -// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping. +// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping. +// Only requested columns are computed; unrequested columns select 0 as placeholder. // // Parameters: // - filter: Job filters to apply (cluster, user, time range, etc.) // - col: Column name to GROUP BY; empty string for overall statistics without grouping -// -// Returns a SelectBuilder that produces comprehensive statistics: -// - totalJobs: Count of jobs -// - totalUsers: Count of distinct users (always 0 when grouping by user) -// - totalWalltime: Sum of job durations in hours -// - totalNodes: Sum of nodes used across all jobs -// - totalNodeHours: Sum of (duration × num_nodes) in hours -// - totalCores: Sum of hardware threads used across all jobs -// - totalCoreHours: Sum of (duration × num_hwthreads) in hours -// - totalAccs: Sum of accelerators used across all jobs -// - totalAccHours: Sum of (duration × num_acc) in hours -// -// Special handling: -// - Running jobs: Duration calculated as (now - start_time) instead of stored duration -// - Grouped queries: Also select grouping column and user's display name from hpc_user table -// - All time values converted from seconds to hours (÷ 3600) and rounded +// - shortThreshold: Duration threshold in seconds for counting short-running jobs +// - reqFields: Set of requested field names; nil means compute all fields func (r *JobRepository) buildStatsQuery( filter []*model.JobFilter, col string, + shortThreshold int, + reqFields map[string]bool, ) sq.SelectBuilder { - var query sq.SelectBuilder + now := time.Now().Unix() + + // Helper: return real expression if field is requested (or reqFields is nil), else "0 as alias" + need := func(field string) bool { + return reqFields == nil || reqFields[field] + } + durationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now) + + // Build column list + columns := make([]string, 0, 14) if col != "" { - query = sq.Select( - col, - "name", - "COUNT(job.id) as totalJobs", - "COUNT(DISTINCT job.hpc_user) AS totalUsers", - fmt.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()), - `CAST(SUM(job.num_nodes) as int) as totalNodes`, - fmt.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()), - `CAST(SUM(job.num_hwthreads) as int) as totalCores`, - fmt.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()), - `CAST(SUM(job.num_acc) as int) as totalAccs`, - fmt.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()), - ).From("job").LeftJoin("hpc_user ON hpc_user.username = job.hpc_user").GroupBy(col) + columns = append(columns, col) + } + + columns = append(columns, "COUNT(*) as totalJobs") + + if need("totalUsers") && col != "job.hpc_user" { + columns = append(columns, "COUNT(DISTINCT job.hpc_user) AS totalUsers") } else { - query = sq.Select( - "COUNT(job.id) as totalJobs", - "COUNT(DISTINCT job.hpc_user) AS totalUsers", - fmt.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()), - `CAST(SUM(job.num_nodes) as int)`, - fmt.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()), - `CAST(SUM(job.num_hwthreads) as int)`, - fmt.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()), - `CAST(SUM(job.num_acc) as int)`, - fmt.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()), - ).From("job") + columns = append(columns, "0 AS totalUsers") + } + + if need("totalWalltime") { + columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr)) + } else { + columns = append(columns, "0 as totalWalltime") + } + + if need("totalNodes") { + columns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`) + } else { + columns = append(columns, "0 as totalNodes") + } + + if need("totalNodeHours") { + columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr)) + } else { + columns = append(columns, "0 as totalNodeHours") + } + + if need("totalCores") { + columns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`) + } else { + columns = append(columns, "0 as totalCores") + } + + if need("totalCoreHours") { + columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr)) + } else { + columns = append(columns, "0 as totalCoreHours") + } + + if need("totalAccs") { + columns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`) + } else { + columns = append(columns, "0 as totalAccs") + } + + if need("totalAccHours") { + columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr)) + } else { + columns = append(columns, "0 as totalAccHours") + } + + if need("runningJobs") { + columns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`) + } else { + columns = append(columns, "0 as runningJobs") + } + + if need("shortJobs") { + columns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold)) + } else { + columns = append(columns, "0 as shortJobs") + } + + query := sq.Select(columns...).From("job") + if col != "" { + query = query.GroupBy(col) } for _, f := range filter { @@ -186,35 +228,19 @@ func (r *JobRepository) buildStatsQuery( return query } -// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster). -// -// This is the primary method for generating aggregated statistics views in the UI, providing -// metrics like total jobs, walltime, and resource usage broken down by the specified grouping. -// -// Parameters: -// - ctx: Context for security checks and cancellation -// - filter: Filters to apply (time range, cluster, job state, etc.) -// - page: Optional pagination (ItemsPerPage: -1 disables pagination) -// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.) -// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster) -// -// Returns a slice of JobsStatistics, one per group, with: -// - ID: The group identifier (username, project name, cluster name, etc.) -// - Name: Display name (for users, from hpc_user.name; empty for other groups) -// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics -// -// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support. -// Performance: Results are sorted in SQL and pagination applied before scanning rows. +// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster). +// Only columns listed in reqFields are computed; others return 0. User display names are looked up +// in a separate lightweight query to avoid JOIN overhead on the main aggregation. func (r *JobRepository) JobsStatsGrouped( ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, + reqFields map[string]bool, ) ([]*model.JobsStatistics, error) { - start := time.Now() col := groupBy2column[*groupBy] - query := r.buildStatsQuery(filter, col) + query := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields) query, err := SecurityCheck(ctx, query) if err != nil { @@ -230,97 +256,75 @@ func (r *JobRepository) JobsStatsGrouped( query = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit) } - rows, err := query.RunWith(r.DB).Query() + rows, err := query.RunWith(r.DB).QueryContext(ctx) if err != nil { cclog.Warn("Error while querying DB for job statistics") return nil, err } + defer rows.Close() stats := make([]*model.JobsStatistics, 0, 100) for rows.Next() { var id sql.NullString - var name sql.NullString - var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64 - if err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil { + var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64 + if err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil { cclog.Warnf("Error while scanning rows: %s", err.Error()) return nil, err } if id.Valid { - var totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int - var personName string + stats = append(stats, + &model.JobsStatistics{ + ID: id.String, + TotalJobs: int(jobs.Int64), + TotalUsers: int(users.Int64), + TotalWalltime: int(walltime.Int64), + TotalNodes: int(nodes.Int64), + TotalNodeHours: int(nodeHours.Int64), + TotalCores: int(cores.Int64), + TotalCoreHours: int(coreHours.Int64), + TotalAccs: int(accs.Int64), + TotalAccHours: int(accHours.Int64), + RunningJobs: int(runningJobs.Int64), + ShortJobs: int(shortJobs.Int64), + }) + } + } - if name.Valid { - personName = name.String - } + if err := rows.Err(); err != nil { + return nil, err + } - if jobs.Valid { - totalJobs = int(jobs.Int64) - } + // Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query) + if col == "job.hpc_user" && len(stats) > 0 { + usernames := make([]any, len(stats)) + for i, s := range stats { + usernames[i] = s.ID + } - if users.Valid { - totalUsers = int(users.Int64) + nameQuery := sq.Select("username", "name").From("hpc_user").Where(sq.Eq{"username": usernames}) + nameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx) + if err != nil { + cclog.Warnf("Error looking up user names: %s", err.Error()) + // Non-fatal: stats are still valid without display names + } else { + defer nameRows.Close() + nameMap := make(map[string]string, len(stats)) + for nameRows.Next() { + var username, name string + if err := nameRows.Scan(&username, &name); err == nil { + nameMap[username] = name + } } - - if walltime.Valid { - totalWalltime = int(walltime.Int64) - } - - if nodes.Valid { - totalNodes = int(nodes.Int64) - } - if cores.Valid { - totalCores = int(cores.Int64) - } - if accs.Valid { - totalAccs = int(accs.Int64) - } - - if nodeHours.Valid { - totalNodeHours = int(nodeHours.Int64) - } - if coreHours.Valid { - totalCoreHours = int(coreHours.Int64) - } - if accHours.Valid { - totalAccHours = int(accHours.Int64) - } - - if col == "job.hpc_user" { - // name := r.getUserName(ctx, id.String) - stats = append(stats, - &model.JobsStatistics{ - ID: id.String, - Name: personName, - TotalJobs: totalJobs, - TotalWalltime: totalWalltime, - TotalNodes: totalNodes, - TotalNodeHours: totalNodeHours, - TotalCores: totalCores, - TotalCoreHours: totalCoreHours, - TotalAccs: totalAccs, - TotalAccHours: totalAccHours, - }) - } else { - stats = append(stats, - &model.JobsStatistics{ - ID: id.String, - TotalJobs: totalJobs, - TotalUsers: totalUsers, - TotalWalltime: totalWalltime, - TotalNodes: totalNodes, - TotalNodeHours: totalNodeHours, - TotalCores: totalCores, - TotalCoreHours: totalCoreHours, - TotalAccs: totalAccs, - TotalAccHours: totalAccHours, - }) + for _, s := range stats { + if name, ok := nameMap[s.ID]; ok { + s.Name = name + } } } } - cclog.Debugf("Timer JobsStatsGrouped %s", time.Since(start)) return stats, nil } @@ -342,19 +346,20 @@ func (r *JobRepository) JobsStatsGrouped( func (r *JobRepository) JobsStats( ctx context.Context, filter []*model.JobFilter, + reqFields map[string]bool, ) ([]*model.JobsStatistics, error) { start := time.Now() - query := r.buildStatsQuery(filter, "") + query := r.buildStatsQuery(filter, "", config.Keys.ShortRunningJobsDuration, reqFields) query, err := SecurityCheck(ctx, query) if err != nil { return nil, err } - row := query.RunWith(r.DB).QueryRow() + row := query.RunWith(r.DB).QueryRowContext(ctx) stats := make([]*model.JobsStatistics, 0, 1) - var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64 - if err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil { + var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64 + if err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil { cclog.Warn("Error while scanning rows") return nil, err } @@ -379,6 +384,8 @@ func (r *JobRepository) JobsStats( TotalNodeHours: totalNodeHours, TotalCoreHours: totalCoreHours, TotalAccHours: totalAccHours, + RunningJobs: int(runningJobs.Int64), + ShortJobs: int(shortJobs.Int64), }) } @@ -435,11 +442,12 @@ func (r *JobRepository) JobCountGrouped( if err != nil { return nil, err } - rows, err := query.RunWith(r.DB).Query() + rows, err := query.RunWith(r.DB).QueryContext(ctx) if err != nil { cclog.Warn("Error while querying DB for job statistics") return nil, err } + defer rows.Close() stats := make([]*model.JobsStatistics, 0, 100) @@ -459,6 +467,10 @@ func (r *JobRepository) JobCountGrouped( } } + if err := rows.Err(); err != nil { + return nil, err + } + cclog.Debugf("Timer JobCountGrouped %s", time.Since(start)) return stats, nil } @@ -491,11 +503,12 @@ func (r *JobRepository) AddJobCountGrouped( if err != nil { return nil, err } - rows, err := query.RunWith(r.DB).Query() + rows, err := query.RunWith(r.DB).QueryContext(ctx) if err != nil { cclog.Warn("Error while querying DB for job statistics") return nil, err } + defer rows.Close() counts := make(map[string]int) @@ -511,6 +524,10 @@ func (r *JobRepository) AddJobCountGrouped( } } + if err := rows.Err(); err != nil { + return nil, err + } + switch kind { case "running": for _, s := range stats { @@ -550,23 +567,13 @@ func (r *JobRepository) AddJobCount( if err != nil { return nil, err } - rows, err := query.RunWith(r.DB).Query() - if err != nil { - cclog.Warn("Error while querying DB for job statistics") + var cnt sql.NullInt64 + if err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil { + cclog.Warn("Error while querying DB for job count") return nil, err } - var count int - - for rows.Next() { - var cnt sql.NullInt64 - if err := rows.Scan(&cnt); err != nil { - cclog.Warn("Error while scanning rows") - return nil, err - } - - count = int(cnt.Int64) - } + count := int(cnt.Int64) switch kind { case "running": @@ -634,30 +641,45 @@ func (r *JobRepository) AddHistograms( targetBinSize = 3600 } - var err error - // Return X-Values always as seconds, will be formatted into minutes and hours in frontend - value := 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) - stat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount) - if err != nil { - cclog.Warn("Error while loading job statistics histogram: job duration") - return nil, err - } + // Run all 4 histogram queries in parallel — each writes a distinct struct field. + g, gctx := errgroup.WithContext(ctx) - stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, "job.num_nodes as value", filter) - if err != nil { - cclog.Warn("Error while loading job statistics histogram: num nodes") - return nil, err - } + value := 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) - stat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, "job.num_hwthreads as value", filter) - if err != nil { - cclog.Warn("Error while loading job statistics histogram: num hwthreads") - return nil, err - } + g.Go(func() error { + var err error + stat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount) + if err != nil { + cclog.Warn("Error while loading job statistics histogram: job duration") + } + return err + }) + g.Go(func() error { + var err error + stat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, "job.num_nodes as value", filter) + if err != nil { + cclog.Warn("Error while loading job statistics histogram: num nodes") + } + return err + }) + g.Go(func() error { + var err error + stat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, "job.num_hwthreads as value", filter) + if err != nil { + cclog.Warn("Error while loading job statistics histogram: num hwthreads") + } + return err + }) + g.Go(func() error { + var err error + stat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, "job.num_acc as value", filter) + if err != nil { + cclog.Warn("Error while loading job statistics histogram: num acc") + } + return err + }) - stat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, "job.num_acc as value", filter) - if err != nil { - cclog.Warn("Error while loading job statistics histogram: num acc") + if err := g.Wait(); err != nil { return nil, err } @@ -740,7 +762,7 @@ func (r *JobRepository) jobsStatisticsHistogram( ) ([]*model.HistoPoint, error) { start := time.Now() query, qerr := SecurityCheck(ctx, - sq.Select(value, "COUNT(job.id) AS count").From("job")) + sq.Select(value, "COUNT(*) AS count").From("job")) if qerr != nil { return nil, qerr @@ -750,11 +772,12 @@ func (r *JobRepository) jobsStatisticsHistogram( query = BuildWhereClause(f, query) } - rows, err := query.GroupBy("value").RunWith(r.DB).Query() + rows, err := query.GroupBy("value").RunWith(r.DB).QueryContext(ctx) if err != nil { cclog.Error("Error while running query") return nil, err } + defer rows.Close() points := make([]*model.HistoPoint, 0) // is it possible to introduce zero values here? requires info about bincount @@ -767,6 +790,11 @@ func (r *JobRepository) jobsStatisticsHistogram( points = append(points, &point) } + + if err := rows.Err(); err != nil { + return nil, err + } + cclog.Debugf("Timer jobsStatisticsHistogram %s", time.Since(start)) return points, nil } @@ -800,7 +828,7 @@ func (r *JobRepository) jobsDurationStatisticsHistogram( ) ([]*model.HistoPoint, error) { start := time.Now() query, qerr := SecurityCheck(ctx, - sq.Select(value, "COUNT(job.id) AS count").From("job")) + sq.Select(value, "COUNT(*) AS count").From("job")) if qerr != nil { return nil, qerr @@ -808,24 +836,31 @@ func (r *JobRepository) jobsDurationStatisticsHistogram( // Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds) // Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc. - points := make([]*model.HistoPoint, 0) + points := make([]*model.HistoPoint, 0, *targetBinCount) for i := 1; i <= *targetBinCount; i++ { point := model.HistoPoint{Value: i * binSizeSeconds, Count: 0} points = append(points, &point) } + // Build a map from bin value (seconds) to slice index for O(1) lookup. + binMap := make(map[int]int, len(points)) + for i, p := range points { + binMap[p.Value] = i + } + for _, f := range filters { query = BuildWhereClause(f, query) } - rows, err := query.GroupBy("value").RunWith(r.DB).Query() + rows, err := query.GroupBy("value").RunWith(r.DB).QueryContext(ctx) if err != nil { cclog.Error("Error while running query") return nil, err } + defer rows.Close() - // Match query results to pre-initialized bins. - // point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value. + // Match query results to pre-initialized bins using map lookup. + // point.Value from query is the bin number; multiply by binSizeSeconds to get bin key. for rows.Next() { point := model.HistoPoint{} if err := rows.Scan(&point.Value, &point.Count); err != nil { @@ -833,14 +868,15 @@ func (r *JobRepository) jobsDurationStatisticsHistogram( return nil, err } - for _, e := range points { - if e.Value == (point.Value * binSizeSeconds) { - e.Count = point.Count - break - } + if idx, ok := binMap[point.Value*binSizeSeconds]; ok { + points[idx].Count = point.Count } } + if err := rows.Err(); err != nil { + return nil, err + } + cclog.Debugf("Timer jobsStatisticsHistogram %s", time.Since(start)) return points, nil } @@ -943,24 +979,34 @@ func (r *JobRepository) jobsMetricStatisticsHistogram( mainQuery = mainQuery.GroupBy("bin").OrderBy("bin") - rows, err := mainQuery.RunWith(r.DB).Query() + rows, err := mainQuery.RunWith(r.DB).QueryContext(ctx) if err != nil { cclog.Errorf("Error while running mainQuery: %s", err) return nil, err } + defer rows.Close() // Pre-initialize bins with calculated min/max ranges. // Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000] - points := make([]*model.MetricHistoPoint, 0) + points := make([]*model.MetricHistoPoint, 0, *bins) binStep := int(peak) / *bins for i := 1; i <= *bins; i++ { binMin := (binStep * (i - 1)) binMax := (binStep * i) - epoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax} + idx := i + epoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax} points = append(points, &epoint) } - // Match query results to pre-initialized bins. + // Build a map from bin number to slice index for O(1) lookup. + binMap := make(map[int]int, len(points)) + for i, p := range points { + if p.Bin != nil { + binMap[*p.Bin] = i + } + } + + // Match query results to pre-initialized bins using map lookup. for rows.Next() { rpoint := model.MetricHistoPoint{} if err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil { @@ -968,14 +1014,17 @@ func (r *JobRepository) jobsMetricStatisticsHistogram( return nil, err } - for _, e := range points { - if e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin { - e.Count = rpoint.Count - break + if rpoint.Bin != nil { + if idx, ok := binMap[*rpoint.Bin]; ok { + points[idx].Count = rpoint.Count } } } + if err := rows.Err(); err != nil { + return nil, err + } + result := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points} cclog.Debugf("Timer jobsStatisticsHistogram %s", time.Since(start)) diff --git a/internal/repository/stats_test.go b/internal/repository/stats_test.go index a6c2da17..5ecd79da 100644 --- a/internal/repository/stats_test.go +++ b/internal/repository/stats_test.go @@ -14,7 +14,7 @@ import ( func TestBuildJobStatsQuery(t *testing.T) { r := setup(t) - q := r.buildStatsQuery(nil, "USER") + q := r.buildStatsQuery(nil, "USER", 300, nil) sql, _, err := q.ToSql() noErr(t, err) @@ -29,7 +29,7 @@ func TestJobStats(t *testing.T) { err := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount) noErr(t, err) - stats, err := r.JobsStats(getContext(t), []*model.JobFilter{}) + stats, err := r.JobsStats(getContext(t), []*model.JobFilter{}, nil) noErr(t, err) if stats[0].TotalJobs != expectedCount { diff --git a/internal/repository/tags.go b/internal/repository/tags.go index 943dda66..39ccd90d 100644 --- a/internal/repository/tags.go +++ b/internal/repository/tags.go @@ -283,6 +283,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts if err != nil { return nil, nil, err } + defer xrows.Close() for xrows.Next() { var t schema.Tag @@ -300,6 +301,10 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts } } + if err := xrows.Err(); err != nil { + return nil, nil, err + } + // Query and Count Jobs with attached Tags q := sq.Select("t.tag_type, t.tag_name, t.id, count(jt.tag_id)"). From("tag t"). @@ -334,6 +339,7 @@ func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts if err != nil { return nil, nil, err } + defer rows.Close() counts = make(map[string]int) for rows.Next() { @@ -511,6 +517,7 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e cclog.Errorf("Error get tags with %s: %v", s, err) return nil, err } + defer rows.Close() tags := make([]*schema.Tag, 0) for rows.Next() { @@ -529,6 +536,10 @@ func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, e } } + if err := rows.Err(); err != nil { + return nil, err + } + return tags, nil } @@ -544,6 +555,7 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) { cclog.Errorf("Error get tags with %s: %v", s, err) return nil, err } + defer rows.Close() tags := make([]*schema.Tag, 0) for rows.Next() { @@ -555,6 +567,10 @@ func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) { tags = append(tags, tag) } + if err := rows.Err(); err != nil { + return nil, err + } + return tags, nil } @@ -582,6 +598,7 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) { cclog.Errorf("Error get tags with %s: %v", s, err) return nil, err } + defer rows.Close() tags := make([]*schema.Tag, 0) for rows.Next() { @@ -593,6 +610,10 @@ func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) { tags = append(tags, tag) } + if err := rows.Err(); err != nil { + return nil, err + } + return tags, nil } diff --git a/internal/repository/user.go b/internal/repository/user.go index 38a4980b..8e45e16a 100644 --- a/internal/repository/user.go +++ b/internal/repository/user.go @@ -102,6 +102,7 @@ func (r *UserRepository) GetLdapUsernames() ([]string, error) { cclog.Warn("Error while querying usernames") return nil, err } + defer rows.Close() for rows.Next() { var username string diff --git a/internal/tagger/classifyJob.go b/internal/tagger/classifyJob.go index 6a53fae8..1bad61f1 100644 --- a/internal/tagger/classifyJob.go +++ b/internal/tagger/classifyJob.go @@ -10,6 +10,7 @@ import ( "encoding/json" "fmt" "maps" + "math" "os" "path/filepath" "strings" @@ -111,6 +112,29 @@ type JobClassTagger struct { getMetricConfig func(cluster, subCluster string) map[string]*schema.Metric } +// roundEnv returns a copy of env with all float64 values rounded to 2 decimal places. +// Nested map[string]any and map[string]float64 values are recursed into. +func roundEnv(env map[string]any) map[string]any { + rounded := make(map[string]any, len(env)) + for k, v := range env { + switch val := v.(type) { + case float64: + rounded[k] = math.Round(val*100) / 100 + case map[string]any: + rounded[k] = roundEnv(val) + case map[string]float64: + rm := make(map[string]float64, len(val)) + for mk, mv := range val { + rm[mk] = math.Round(mv*100) / 100 + } + rounded[k] = rm + default: + rounded[k] = v + } + } + return rounded +} + func (t *JobClassTagger) prepareRule(b []byte, fns string) { var rule RuleFormat if err := json.NewDecoder(bytes.NewReader(b)).Decode(&rule); err != nil { @@ -408,7 +432,7 @@ func (t *JobClassTagger) Match(job *schema.Job) { // process hint template var msg bytes.Buffer - if err := ri.hint.Execute(&msg, env); err != nil { + if err := ri.hint.Execute(&msg, roundEnv(env)); err != nil { cclog.Errorf("Template error: %s", err.Error()) continue } diff --git a/pkg/metricstore/api.go b/pkg/metricstore/api.go index 21f8db0c..c091c6d0 100644 --- a/pkg/metricstore/api.go +++ b/pkg/metricstore/api.go @@ -127,7 +127,7 @@ func (data *APIMetricData) AddStats() { // This is commonly used for unit conversion (e.g., bytes to gigabytes). // Scaling by 0 or 1 is a no-op for performance reasons. func (data *APIMetricData) ScaleBy(f schema.Float) { - if f == 0 || f == 1 { + if f == 1 { return } diff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go index 2d752006..8530f893 100644 --- a/pkg/metricstore/buffer.go +++ b/pkg/metricstore/buffer.go @@ -408,3 +408,12 @@ func (b *buffer) count() int64 { } return res } + +// bufferCount returns the number of buffer nodes in the linked list. +func (b *buffer) bufferCount() int64 { + var n int64 + for ; b != nil; b = b.prev { + n++ + } + return n +} diff --git a/pkg/metricstore/checkpoint.go b/pkg/metricstore/checkpoint.go index ba1f7ba0..3627a67b 100644 --- a/pkg/metricstore/checkpoint.go +++ b/pkg/metricstore/checkpoint.go @@ -100,8 +100,15 @@ func Checkpointing(wg *sync.WaitGroup, ctx context.Context) { wg.Go(func() { - const checkpointInterval = 12 * time.Hour - d := checkpointInterval + d := 12 * time.Hour // default checkpoint interval + if Keys.CheckpointInterval != "" { + parsed, err := time.ParseDuration(Keys.CheckpointInterval) + if err != nil { + cclog.Errorf("[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h", Keys.CheckpointInterval, err) + } else { + d = parsed + } + } ticker := time.NewTicker(d) defer ticker.Stop() diff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go index 3b6be529..f6c56672 100644 --- a/pkg/metricstore/config.go +++ b/pkg/metricstore/config.go @@ -53,7 +53,7 @@ const ( DefaultMaxWorkers = 10 DefaultBufferCapacity = 512 DefaultGCTriggerInterval = 100 - DefaultMemoryUsageTrackerInterval = 1 * time.Hour + DefaultMemoryUsageTrackerInterval = 5 * time.Minute ) // Checkpoints configures periodic persistence of in-memory metric data. @@ -113,7 +113,7 @@ type Subscriptions []struct { // Fields: // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10)) // - RetentionInMemory: Duration string (e.g., "48h") for in-memory data retention -// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded +// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded // - Checkpoints: Periodic persistence configuration // - Debug: Development/profiling options (nil = disabled) // - Archive: Long-term storage configuration (nil = disabled) @@ -121,13 +121,14 @@ type Subscriptions []struct { type MetricStoreConfig struct { // Number of concurrent workers for checkpoint and archive operations. // If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10) - NumWorkers int `json:"num-workers"` - RetentionInMemory string `json:"retention-in-memory"` - MemoryCap int `json:"memory-cap"` - Checkpoints Checkpoints `json:"checkpoints"` - Debug *Debug `json:"debug"` - Cleanup *Cleanup `json:"cleanup"` - Subscriptions *Subscriptions `json:"nats-subscriptions"` + NumWorkers int `json:"num-workers"` + RetentionInMemory string `json:"retention-in-memory"` + CheckpointInterval string `json:"checkpoint-interval,omitempty"` + MemoryCap int `json:"memory-cap"` + Checkpoints Checkpoints `json:"checkpoints"` + Debug *Debug `json:"debug"` + Cleanup *Cleanup `json:"cleanup"` + Subscriptions *Subscriptions `json:"nats-subscriptions"` } // Keys is the global metricstore configuration instance. diff --git a/pkg/metricstore/configSchema.go b/pkg/metricstore/configSchema.go index ed9bccaa..00bfc4b7 100644 --- a/pkg/metricstore/configSchema.go +++ b/pkg/metricstore/configSchema.go @@ -54,6 +54,10 @@ const configSchema = `{ "description": "Keep the metrics within memory for given time interval. Retention for X hours, then the metrics would be freed.", "type": "string" }, + "checkpoint-interval": { + "description": "Interval between checkpoints as a Go duration string (e.g., '12h', '6h', '30m'). Default is '12h'.", + "type": "string" + }, "memory-cap": { "description": "Upper memory capacity limit used by metricstore in GB", "type": "integer" diff --git a/pkg/metricstore/healthcheck.go b/pkg/metricstore/healthcheck.go index b3470a14..dc400f24 100644 --- a/pkg/metricstore/healthcheck.go +++ b/pkg/metricstore/healthcheck.go @@ -66,7 +66,10 @@ func (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, he if degraded[metricName] { continue // already degraded, cannot improve } - mc := m.Metrics[metricName] + mc, ok := m.Metrics[metricName] + if !ok { + continue // unknown metric, will be reported as missing + } b := l.metrics[mc.offset] if b.bufferExists() { if !b.isBufferHealthy() { diff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go index 2b24a2ea..1d360564 100644 --- a/pkg/metricstore/level.go +++ b/pkg/metricstore/level.go @@ -181,6 +181,14 @@ func (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string // - int: Total number of buffers freed in this subtree // - error: Non-nil on failure (propagated from children) func (l *Level) free(t int64) (int, error) { + n, _, err := l.freeAndCheckEmpty(t) + return n, err +} + +// freeAndCheckEmpty performs free() and atomically checks if the level is empty +// while still holding its own lock, avoiding a TOCTOU race between free() and +// a separate isEmpty() call. +func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) { l.lock.Lock() defer l.lock.Unlock() @@ -200,15 +208,29 @@ func (l *Level) free(t int64) (int, error) { } } - for _, l := range l.children { - m, err := l.free(t) + for key, child := range l.children { + m, empty, err := child.freeAndCheckEmpty(t) n += m if err != nil { - return n, err + return n, false, err + } + if empty { + delete(l.children, key) } } - return n, nil + // Check emptiness while still holding the lock + empty := len(l.children) == 0 + if empty { + for _, b := range l.metrics { + if b != nil { + empty = false + break + } + } + } + + return n, empty, nil } // forceFree removes the oldest buffer from each metric chain in the subtree. @@ -278,6 +300,7 @@ func (l *Level) sizeInBytes() int64 { for _, b := range l.metrics { if b != nil { size += b.count() * int64(unsafe.Sizeof(schema.Float(0))) + size += b.bufferCount() * int64(unsafe.Sizeof(buffer{})) } } diff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go index ecae3df1..21f036ed 100644 --- a/pkg/metricstore/lineprotocol.go +++ b/pkg/metricstore/lineprotocol.go @@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder, } if err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil { - return err + cclog.Warnf("write error for host %s metric %s at ts %d: %s", host, string(st.metricBuf), time, err.Error()) + continue } } return nil diff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go index b6fbb51a..84dad72b 100644 --- a/pkg/metricstore/metricstore.go +++ b/pkg/metricstore/metricstore.go @@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) { ms := GetMemoryStore() wg.Go(func() { - d := DefaultMemoryUsageTrackerInterval + normalInterval := DefaultMemoryUsageTrackerInterval + fastInterval := 30 * time.Second - if d <= 0 { + if normalInterval <= 0 { return } - ticker := time.NewTicker(d) + ticker := time.NewTicker(normalInterval) defer ticker.Stop() + currentInterval := normalInterval for { select { @@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) { runtime.ReadMemStats(&mem) actualMemoryGB = float64(mem.Alloc) / 1e9 - bufferPool.Clear() - cclog.Infof("[METRICSTORE]> Cleaned up bufferPool\n") - if actualMemoryGB > float64(Keys.MemoryCap) { cclog.Warnf("[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing", actualMemoryGB, Keys.MemoryCap) - const maxIterations = 100 + // Use progressive time-based Free with increasing threshold + // instead of ForceFree loop — fewer tree traversals, more effective + d, parseErr := time.ParseDuration(Keys.RetentionInMemory) + if parseErr != nil { + cclog.Errorf("[METRICSTORE]> cannot parse retention duration: %s", parseErr) + } else { + thresholds := []float64{0.75, 0.5, 0.25} + for _, fraction := range thresholds { + threshold := time.Now().Add(-time.Duration(float64(d) * fraction)) + freed, freeErr := ms.Free(nil, threshold.Unix()) + if freeErr != nil { + cclog.Errorf("[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s", fraction*100, freeErr) + } + freedEmergency += freed - for i := range maxIterations { - if actualMemoryGB < float64(Keys.MemoryCap) { - break - } - - freed, err := ms.ForceFree() - if err != nil { - cclog.Errorf("[METRICSTORE]> error while force-freeing buffers: %s", err) - } - if freed == 0 { - cclog.Errorf("[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB", freedEmergency, actualMemoryGB, Keys.MemoryCap) - break - } - freedEmergency += freed - - if i%10 == 0 && freedEmergency > 0 { + bufferPool.Clear() + runtime.GC() runtime.ReadMemStats(&mem) actualMemoryGB = float64(mem.Alloc) / 1e9 + + if actualMemoryGB < float64(Keys.MemoryCap) { + break + } } } - // if freedEmergency > 0 { - // debug.FreeOSMemory() - // } + bufferPool.Clear() + debug.FreeOSMemory() runtime.ReadMemStats(&mem) actualMemoryGB = float64(mem.Alloc) / 1e9 if actualMemoryGB >= float64(Keys.MemoryCap) { - cclog.Errorf("[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB", freedEmergency, actualMemoryGB, Keys.MemoryCap) + cclog.Errorf("[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB", freedEmergency, actualMemoryGB, Keys.MemoryCap) } else { cclog.Infof("[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB", freedEmergency, actualMemoryGB) } } + + // Adaptive ticker: check more frequently when memory is high + memoryRatio := actualMemoryGB / float64(Keys.MemoryCap) + if memoryRatio > 0.8 && currentInterval != fastInterval { + ticker.Reset(fastInterval) + currentInterval = fastInterval + cclog.Infof("[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)", memoryRatio*100) + } else if memoryRatio <= 0.8 && currentInterval != normalInterval { + ticker.Reset(normalInterval) + currentInterval = normalInterval + cclog.Infof("[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval", memoryRatio*100) + } } } }) @@ -741,6 +754,9 @@ func (m *MemoryStore) ForceFree() (int, error) { } func (m *MemoryStore) FreeAll() error { + m.root.lock.Lock() + defer m.root.lock.Unlock() + for k := range m.root.children { delete(m.root.children, k) } diff --git a/pkg/metricstore/stats.go b/pkg/metricstore/stats.go index 8f7886a3..2feec2ff 100644 --- a/pkg/metricstore/stats.go +++ b/pkg/metricstore/stats.go @@ -42,7 +42,7 @@ func (b *buffer) stats(from, to int64) (Stats, int64, int64, error) { if b == nil { break } - idx = 0 + idx = int((t - b.start) / b.frequency) } if t < b.start || idx >= len(b.data) { diff --git a/pkg/metricstore/walCheckpoint.go b/pkg/metricstore/walCheckpoint.go index 07414d98..e8a6586f 100644 --- a/pkg/metricstore/walCheckpoint.go +++ b/pkg/metricstore/walCheckpoint.go @@ -106,9 +106,10 @@ type walRotateReq struct { done chan struct{} } -// walFileState holds an open WAL file handle for one host directory. +// walFileState holds an open WAL file handle and buffered writer for one host directory. type walFileState struct { f *os.File + w *bufio.Writer } // WALStaging starts a background goroutine that receives WALMessage items @@ -125,15 +126,16 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) { defer func() { for _, ws := range hostFiles { if ws.f != nil { + ws.w.Flush() ws.f.Close() } } }() - getOrOpenWAL := func(hostDir string) *os.File { + getOrOpenWAL := func(hostDir string) *walFileState { ws, ok := hostFiles[hostDir] if ok { - return ws.f + return ws } if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil { @@ -148,29 +150,32 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) { return nil } + w := bufio.NewWriter(f) + // Write file header magic if file is new (empty). info, err := f.Stat() if err == nil && info.Size() == 0 { var hdr [4]byte binary.LittleEndian.PutUint32(hdr[:], walFileMagic) - if _, err := f.Write(hdr[:]); err != nil { + if _, err := w.Write(hdr[:]); err != nil { cclog.Errorf("[METRICSTORE]> WAL: write header %s: %v", walPath, err) f.Close() return nil } } - hostFiles[hostDir] = &walFileState{f: f} - return f + ws = &walFileState{f: f, w: w} + hostFiles[hostDir] = ws + return ws } processMsg := func(msg *WALMessage) { hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node) - f := getOrOpenWAL(hostDir) - if f == nil { + ws := getOrOpenWAL(hostDir) + if ws == nil { return } - if err := writeWALRecord(f, msg); err != nil { + if err := writeWALRecord(ws.w, msg); err != nil { cclog.Errorf("[METRICSTORE]> WAL: write record: %v", err) } } @@ -178,6 +183,7 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) { processRotate := func(req walRotateReq) { ws, ok := hostFiles[req.hostDir] if ok && ws.f != nil { + ws.w.Flush() ws.f.Close() walPath := path.Join(req.hostDir, "current.wal") if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) { @@ -199,6 +205,12 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) { case req := <-walRotateCh: processRotate(req) default: + // Flush all buffered writers after draining remaining messages. + for _, ws := range hostFiles { + if ws.f != nil { + ws.w.Flush() + } + } return } } @@ -282,9 +294,9 @@ func buildWALPayload(msg *WALMessage) []byte { return buf } -// writeWALRecord appends a binary WAL record to the file. +// writeWALRecord appends a binary WAL record to the writer. // Format: [4B magic][4B payload_len][payload][4B CRC32] -func writeWALRecord(f *os.File, msg *WALMessage) error { +func writeWALRecord(w io.Writer, msg *WALMessage) error { payload := buildWALPayload(msg) crc := crc32.ChecksumIEEE(payload) @@ -304,7 +316,7 @@ func writeWALRecord(f *os.File, msg *WALMessage) error { binary.LittleEndian.PutUint32(crcBytes[:], crc) record = append(record, crcBytes[:]...) - _, err := f.Write(record) + _, err := w.Write(record) return err } diff --git a/web/frontend/package-lock.json b/web/frontend/package-lock.json index 08b87ea3..8656abc4 100644 --- a/web/frontend/package-lock.json +++ b/web/frontend/package-lock.json @@ -20,14 +20,14 @@ "wonka": "^6.3.5" }, "devDependencies": { - "@rollup/plugin-commonjs": "^29.0.1", + "@rollup/plugin-commonjs": "^29.0.2", "@rollup/plugin-node-resolve": "^16.0.3", "@rollup/plugin-terser": "^1.0.0", "@timohausmann/quadtree-js": "^1.2.6", "rollup": "^4.59.0", "rollup-plugin-css-only": "^4.5.5", "rollup-plugin-svelte": "^7.2.3", - "svelte": "^5.53.7" + "svelte": "^5.53.9" } }, "node_modules/@0no-co/graphql.web": { @@ -126,9 +126,9 @@ } }, "node_modules/@rollup/plugin-commonjs": { - "version": "29.0.1", - "resolved": "https://registry.npmjs.org/@rollup/plugin-commonjs/-/plugin-commonjs-29.0.1.tgz", - "integrity": "sha512-VUEHINN2rQEWPfNUR3mzidRObM1XZKXMQsaG6qBlDqd6M1qyw91nDZvcSozgyjt3x/QKrgKBc5MdxfdxAy6tdg==", + "version": "29.0.2", + "resolved": "https://registry.npmjs.org/@rollup/plugin-commonjs/-/plugin-commonjs-29.0.2.tgz", + "integrity": "sha512-S/ggWH1LU7jTyi9DxZOKyxpVd4hF/OZ0JrEbeLjXk/DFXwRny0tjD2c992zOUYQobLrVkRVMDdmHP16HKP7GRg==", "dev": true, "license": "MIT", "dependencies": { @@ -1193,9 +1193,9 @@ } }, "node_modules/svelte": { - "version": "5.53.7", - "resolved": "https://registry.npmjs.org/svelte/-/svelte-5.53.7.tgz", - "integrity": "sha512-uxck1KI7JWtlfP3H6HOWi/94soAl23jsGJkBzN2BAWcQng0+lTrRNhxActFqORgnO9BHVd1hKJhG+ljRuIUWfQ==", + "version": "5.53.9", + "resolved": "https://registry.npmjs.org/svelte/-/svelte-5.53.9.tgz", + "integrity": "sha512-MwDfWsN8qZzeP0jlQsWF4k/4B3csb3IbzCRggF+L/QqY7T8bbKvnChEo1cPZztF51HJQhilDbevWYl2LvXbquA==", "license": "MIT", "dependencies": { "@jridgewell/remapping": "^2.3.4", diff --git a/web/frontend/package.json b/web/frontend/package.json index fe535fcb..0c206c66 100644 --- a/web/frontend/package.json +++ b/web/frontend/package.json @@ -7,14 +7,14 @@ "dev": "rollup -c -w" }, "devDependencies": { - "@rollup/plugin-commonjs": "^29.0.1", + "@rollup/plugin-commonjs": "^29.0.2", "@rollup/plugin-node-resolve": "^16.0.3", "@rollup/plugin-terser": "^1.0.0", "@timohausmann/quadtree-js": "^1.2.6", "rollup": "^4.59.0", "rollup-plugin-css-only": "^4.5.5", "rollup-plugin-svelte": "^7.2.3", - "svelte": "^5.53.7" + "svelte": "^5.53.9" }, "dependencies": { "@rollup/plugin-replace": "^6.0.3", diff --git a/web/frontend/src/DashPublic.root.svelte b/web/frontend/src/DashPublic.root.svelte index f66a6435..e824f881 100644 --- a/web/frontend/src/DashPublic.root.svelte +++ b/web/frontend/src/DashPublic.root.svelte @@ -149,7 +149,6 @@ jobsStatistics( filter: $jobFilter page: $paging - sortBy: TOTALJOBS groupBy: CLUSTER ) { id @@ -185,7 +184,7 @@ from: from.toISOString(), clusterFrom: clusterFrom.toISOString(), to: to.toISOString(), - jobFilter: [{ state: ["running"] }, { cluster: { eq: presetCluster } }], + jobFilter: [{ cluster: { eq: presetCluster } }, { state: ["running"] }], nodeFilter: { cluster: { eq: presetCluster }}, paging: { itemsPerPage: -1, page: 1 }, // Get all: -1 sorting: { field: "startTime", type: "col", order: "DESC" } @@ -302,11 +301,11 @@ if (subclusterData) { for (let i = 0; i < subclusterData.length; i++) { - const flopsData = subclusterData[i].metrics.find((s) => s.name == "flops_any") - const memBwData = subclusterData[i].metrics.find((s) => s.name == "mem_bw") + const flopsData = subclusterData[i]?.metrics?.find((s) => s.name == "flops_any") + const memBwData = subclusterData[i]?.metrics?.find((s) => s.name == "mem_bw") - const f = flopsData.metric.series[0].statistics.avg - const m = memBwData.metric.series[0].statistics.avg + const f = flopsData?.metric?.series[0]?.statistics?.avg || 0; + const m = memBwData?.metric?.series[0]?.statistics?.avg || 0; let intensity = f / m if (Number.isNaN(intensity) || !Number.isFinite(intensity)) { diff --git a/web/frontend/src/Job.root.svelte b/web/frontend/src/Job.root.svelte index 3baed1c1..8e55a15a 100644 --- a/web/frontend/src/Job.root.svelte +++ b/web/frontend/src/Job.root.svelte @@ -211,7 +211,7 @@ const orderAndMap = (grouped, inputMetrics) => inputMetrics.map((metric) => ({ metric: metric, - data: grouped.find((group) => group[0].name == metric), + data: grouped.find((group) => group[0]?.name == metric), availability: checkMetricAvailability( globalMetrics, metric, diff --git a/web/frontend/src/Jobs.root.svelte b/web/frontend/src/Jobs.root.svelte index a06aee3c..370f267c 100644 --- a/web/frontend/src/Jobs.root.svelte +++ b/web/frontend/src/Jobs.root.svelte @@ -148,7 +148,7 @@ showFilter={!showCompare} matchedJobs={showCompare? matchedCompareJobs: matchedListJobs} applyFilters={(detail) => { - selectedCluster = detail.filters[0]?.cluster + selectedCluster = detail?.filters[0]?.cluster ? detail.filters[0].cluster.eq : null; selectedSubCluster = detail.filters[1]?.partition diff --git a/web/frontend/src/List.root.svelte b/web/frontend/src/List.root.svelte index e8af8f44..3555148a 100644 --- a/web/frontend/src/List.root.svelte +++ b/web/frontend/src/List.root.svelte @@ -34,6 +34,7 @@ formatDurationTime } from "./generic/units.js"; import Filters from "./generic/Filters.svelte"; + import Pagination from "./generic/joblist/Pagination.svelte"; /* Svelte 5 Props */ let { @@ -51,6 +52,8 @@ let jobFilters = $state([]); let nameFilter = $state(""); let sorting = $state({ field: "totalJobs", direction: "desc" }); + let page = $state(1); + let itemsPerPage = $state(25); /* Derived Vars */ const fetchRunning = $derived(jobFilters.some(jf => jf?.state?.length == 1 && jf?.state?.includes("running"))); @@ -64,6 +67,12 @@ const sortedRows = $derived( $stats.data ? sort($stats.data.rows, sorting, nameFilter) : [] ); + const paginatedRows = $derived( + sortedRows.slice((page - 1) * itemsPerPage, page * itemsPerPage) + ); + + /* Reset page when sorting or filter changes */ + $effect(() => { sorting; nameFilter; page = 1; }); let stats = $derived( queryStore({ @@ -360,7 +369,7 @@ > {:else if $stats.data} - {#each sort($stats.data.rows, sorting, nameFilter) as row (row.id)} + {#each paginatedRows as row (row.id)} {#if type == "USER"} @@ -402,3 +411,16 @@ {/if} +{#if sortedRows.length > 0} + { + itemsPerPage = detail.itemsPerPage; + page = detail.page; + }} + /> +{/if} diff --git a/web/frontend/src/Node.root.svelte b/web/frontend/src/Node.root.svelte index 06056466..a9ce8a74 100644 --- a/web/frontend/src/Node.root.svelte +++ b/web/frontend/src/Node.root.svelte @@ -119,8 +119,8 @@ const filter = $derived([ { cluster: { eq: cluster } }, - { node: { eq: hostname } }, { state: ["running"] }, + { node: { eq: hostname } }, ]); const systemUnits = $derived.by(() => { @@ -167,7 +167,7 @@ Selected Node - + @@ -259,7 +259,7 @@

No dataset(s) returned for {item.name}

-

Metric has been disabled for subcluster {$nodeMetricsData.data.nodeMetrics[0].subCluster}.

+

Metric has been disabled for subcluster {$nodeMetricsData?.data?.nodeMetrics[0]?.subCluster}.

 {:else if item?.metric} @@ -267,7 +267,7 @@ metric={item.name} timestep={item.metric.timestep} cluster={clusterInfos.find((c) => c.name == cluster)} - subCluster={$nodeMetricsData.data.nodeMetrics[0].subCluster} + subCluster={$nodeMetricsData?.data?.nodeMetrics[0]?.subCluster} series={item.metric.series} enableFlip forNode @@ -286,17 +286,17 @@ {/snippet} ({ ...m, availability: checkMetricAvailability( globalMetrics, m.name, cluster, - $nodeMetricsData.data.nodeMetrics[0].subCluster, + $nodeMetricsData?.data?.nodeMetrics[0]?.subCluster, ), })) - .sort((a, b) => a.name.localeCompare(b.name))} + .sort((a, b) => a.name.localeCompare(b.name)) || []} itemsPerRow={ccconfig.plotConfiguration_plotsPerRow} {gridContent} /> diff --git a/web/frontend/src/User.root.svelte b/web/frontend/src/User.root.svelte index d086df14..e1bc5483 100644 --- a/web/frontend/src/User.root.svelte +++ b/web/frontend/src/User.root.svelte @@ -159,7 +159,7 @@ variables: { jobFilters, selectedHistograms, numDurationBins, numMetricBins }, }) ); - const hasAccHours = $derived($stats?.data?.jobsStatistics[0]?.totalAccHours != 0); + const hasAccHours = $derived(($stats?.data?.jobsStatistics[0]?.totalAccHours || 0) != 0); /* Functions */ function resetJobSelection() { @@ -310,8 +310,8 @@ Total Jobs - - {formatNumber($stats.data.jobsStatistics[0].totalJobs)} Jobs + + {formatNumber($stats?.data?.jobsStatistics[0]?.totalJobs || 0)} Jobs @@ -326,24 +326,24 @@ - - {formatNumber($stats.data.jobsStatistics[0].shortJobs)} Jobs + + {formatNumber($stats?.data?.jobsStatistics[0]?.shortJobs || 0)} Jobs Total Walltime - - {formatNumber($stats.data.jobsStatistics[0].totalWalltime)} Hours + + {formatNumber($stats?.data?.jobsStatistics[0]?.totalWalltime || 0)} Hours Total Core Hours - - {formatNumber($stats.data.jobsStatistics[0].totalCoreHours)} Hours + + {formatNumber($stats?.data?.jobsStatistics[0]?.totalCoreHours || 0)} Hours @@ -351,8 +351,8 @@ Total Accelerator Hours - - {formatNumber($stats.data.jobsStatistics[0].totalAccHours)} Hours + + {formatNumber($stats?.data?.jobsStatistics[0]?.totalAccHours || 0)} Hours @@ -361,9 +361,9 @@ - {#key $stats.data.jobsStatistics[0].histDuration} + {#key $stats?.data?.jobsStatistics[0]?.histDuration} - {#key $stats.data.jobsStatistics[0].histNumNodes} + {#key $stats?.data?.jobsStatistics[0]?.histNumNodes} {/snippet} - {#key $stats.data.jobsStatistics[0].histMetrics} + {#key $stats?.data?.jobsStatistics[0]?.histMetrics} diff --git a/web/frontend/src/generic/filters/Energy.svelte b/web/frontend/src/generic/filters/Energy.svelte index 648fdb4d..dc532c86 100644 --- a/web/frontend/src/generic/filters/Energy.svelte +++ b/web/frontend/src/generic/filters/Energy.svelte @@ -29,7 +29,7 @@ /* Const */ const minEnergyPreset = 1; - const maxEnergyPreset = 1000; + const maxEnergyPreset = 100; /* Derived */ // Pending diff --git a/web/frontend/src/generic/joblist/JobInfo.svelte b/web/frontend/src/generic/joblist/JobInfo.svelte index 794efe93..41404c0a 100644 --- a/web/frontend/src/generic/joblist/JobInfo.svelte +++ b/web/frontend/src/generic/joblist/JobInfo.svelte @@ -167,7 +167,7 @@

{#if job.numNodes == 1} - {job.resources[0].hostname} + {job?.resources[0]?.hostname} {:else} {job.numNodes} {/if} diff --git a/web/frontend/src/generic/plots/Comparogram.svelte b/web/frontend/src/generic/plots/Comparogram.svelte index b1835c2c..0a0c8f0c 100644 --- a/web/frontend/src/generic/plots/Comparogram.svelte +++ b/web/frontend/src/generic/plots/Comparogram.svelte @@ -340,7 +340,7 @@ -{#if data && data[0].length > 0} +{#if data && data[0]?.length > 0}

diff --git a/web/frontend/src/status/DashInternal.svelte b/web/frontend/src/status/DashInternal.svelte index 145ac4dc..35ba6e9b 100644 --- a/web/frontend/src/status/DashInternal.svelte +++ b/web/frontend/src/status/DashInternal.svelte @@ -155,7 +155,6 @@ jobsStatistics( filter: $jobFilter page: $paging - sortBy: TOTALJOBS groupBy: CLUSTER ) { id @@ -190,7 +189,7 @@ from: from.toISOString(), to: to.toISOString(), clusterFrom: clusterFrom.toISOString(), - jobFilter: [{ state: ["running"] }, { cluster: { eq: presetCluster } }], + jobFilter: [{ cluster: { eq: presetCluster } }, { state: ["running"] }], paging: { itemsPerPage: -1, page: 1 }, // Get all: -1 sorting: { field: "startTime", type: "col", order: "DESC" } }, @@ -216,7 +215,7 @@ } `, variables: { - filter: [{ state: ["running"] }, { cluster: { eq: presetCluster} }], + filter: [{ cluster: { eq: presetCluster} }, { state: ["running"] }], paging: pagingState // Top 10 }, requestPolicy: "network-only" diff --git a/web/frontend/src/status/dashdetails/StatisticsDash.svelte b/web/frontend/src/status/dashdetails/StatisticsDash.svelte index d83adc15..f0c5ec81 100644 --- a/web/frontend/src/status/dashdetails/StatisticsDash.svelte +++ b/web/frontend/src/status/dashdetails/StatisticsDash.svelte @@ -72,7 +72,7 @@ } `, variables: { - filter: [{ state: ["running"] }, { cluster: { eq: cluster} }], + filter: [{ cluster: { eq: cluster} }, { state: ["running"] }], selectedHistograms: selectedHistograms }, requestPolicy: "network-only" @@ -129,9 +129,9 @@ /> {/snippet} - {#key $metricStatusQuery.data.jobsStatistics[0].histMetrics} + {#key $metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics} diff --git a/web/frontend/src/status/dashdetails/StatusDash.svelte b/web/frontend/src/status/dashdetails/StatusDash.svelte index 0c2626d0..46768502 100644 --- a/web/frontend/src/status/dashdetails/StatusDash.svelte +++ b/web/frontend/src/status/dashdetails/StatusDash.svelte @@ -163,7 +163,6 @@ jobsStatistics( filter: $jobFilter page: $paging - sortBy: TOTALJOBS groupBy: SUBCLUSTER ) { id @@ -179,7 +178,7 @@ metrics: ["flops_any", "mem_bw"], // Fixed names for roofline and status bars from: from.toISOString(), to: to.toISOString(), - jobFilter: [{ state: ["running"] }, { cluster: { eq: cluster } }], + jobFilter: [{ cluster: { eq: cluster } }, { state: ["running"] }], nodeFilter: { cluster: { eq: cluster }}, paging: { itemsPerPage: -1, page: 1 }, // Get all: -1 sorting: { field: "startTime", type: "col", order: "DESC" } @@ -295,8 +294,8 @@ const flopsData = subclusterData[i].metrics.find((s) => s.name == "flops_any") const memBwData = subclusterData[i].metrics.find((s) => s.name == "mem_bw") - const f = flopsData.metric.series[0].statistics.avg - const m = memBwData.metric.series[0].statistics.avg + const f = flopsData?.metric?.series[0]?.statistics?.avg || 0 + const m = memBwData?.metric?.series[0]?.statistics?.avg || 0 let intensity = f / m if (Number.isNaN(intensity) || !Number.isFinite(intensity)) { diff --git a/web/frontend/src/status/dashdetails/UsageDash.svelte b/web/frontend/src/status/dashdetails/UsageDash.svelte index 2a9b3037..1d14bed4 100644 --- a/web/frontend/src/status/dashdetails/UsageDash.svelte +++ b/web/frontend/src/status/dashdetails/UsageDash.svelte @@ -8,7 +8,7 @@ - `useAltColors Bool?`: Use alternative color set [Default: false] --> - - + - - Duration Bin Size - + Duration Bin Size {#each durationBinOptions as dbin} @@ -237,24 +208,26 @@ { - pagingState = { page:1, itemsPerPage: 10 }; + pagingState = { page: 1, itemsPerPage: 10 }; selectedHistograms = [...$state.snapshot(selectedHistograms)]; }} /> -
+
-{#if $topJobsQuery?.fetching || $nodeStatusQuery?.fetching} +{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching} -{:else if $topJobsQuery?.data && $nodeStatusQuery?.data} +{:else if $topStatsQuery?.data && $nodeStatusQuery?.data} - {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration} + {#key $nodeStatusQuery?.data?.jobsStatistics[0]?.histDuration}
-

- Top Users: Jobs -

+

Top Users: Jobs

tu['totalJobs'], + quantities={topUserJobs.map( + (tu) => tu["totalJobs"], + )} + entities={topUserJobs.map((tu) => + scrambleNames ? scramble(tu.id) : tu.id, )} - entities={$topJobsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)} />
@@ -291,11 +264,17 @@ User Jobs - {#each $topJobsQuery.data.topUser as tu, i} + {#each topUserJobs as tu, i} - + - {scrambleNames ? scramble(tu.id) : tu.id} @@ -306,25 +285,25 @@ >{scrambleNames ? scramble(tu.name) : tu.name} {/if} - {tu['totalJobs']} + {tu["totalJobs"]} {/each} -

- Top Projects: Jobs -

+

Top Projects: Jobs

tp['totalJobs'], + sliceLabel={"Jobs"} + quantities={topProjectJobs.map( + (tp) => tp["totalJobs"], + )} + entities={topProjectJobs.map((tp) => + scrambleNames ? scramble(tp.id) : tp.id, )} - entities={$topJobsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)} /> @@ -334,34 +313,44 @@ Project Jobs - {#each $topJobsQuery.data.topProjects as tp, i} + {#each topProjectJobs as tp, i} - + - {scrambleNames ? scramble(tp.id) : tp.id} - {tp['totalJobs']} + {tp["totalJobs"]} {/each} {:else} - Cannot render job status charts: No data! + Cannot render job status charts: No data! {/if} -
+
-{#if $topNodesQuery?.fetching || $nodeStatusQuery?.fetching} +{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching} -{:else if $topNodesQuery?.data && $nodeStatusQuery?.data} +{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}
-

- Top Users: Nodes -

+

Top Users: Nodes

tu['totalNodes'], + quantities={topUserNodes.map( + (tu) => tu["totalNodes"], + )} + entities={topUserNodes.map((tu) => + scrambleNames ? scramble(tu.id) : tu.id, )} - entities={$topNodesQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)} />
@@ -395,11 +384,17 @@ User Nodes - {#each $topNodesQuery.data.topUser as tu, i} + {#each topUserNodes as tu, i} - + - {scrambleNames ? scramble(tu.id) : tu.id} @@ -410,25 +405,25 @@ >{scrambleNames ? scramble(tu.name) : tu.name} {/if} - {tu['totalNodes']} + {tu["totalNodes"]} {/each} -

- Top Projects: Nodes -

+

Top Projects: Nodes

tp['totalNodes'], + sliceLabel={"Nodes"} + quantities={topProjectNodes.map( + (tp) => tp["totalNodes"], + )} + entities={topProjectNodes.map((tp) => + scrambleNames ? scramble(tp.id) : tp.id, )} - entities={$topNodesQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)} /> @@ -438,34 +433,44 @@ Project Nodes - {#each $topNodesQuery.data.topProjects as tp, i} + {#each topProjectNodes as tp, i} - + - {scrambleNames ? scramble(tp.id) : tp.id} - {tp['totalNodes']} + {tp["totalNodes"]} {/each} {:else} - Cannot render node status charts: No data! + Cannot render node status charts: No data! {/if} -
+
-{#if $topAccsQuery?.fetching || $nodeStatusQuery?.fetching} +{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching} -{:else if $topAccsQuery?.data && $nodeStatusQuery?.data} +{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}
-

- Top Users: GPUs -

+

Top Users: GPUs

tu['totalAccs'], + quantities={topUserAccs.map( + (tu) => tu["totalAccs"], + )} + entities={topUserAccs.map((tu) => + scrambleNames ? scramble(tu.id) : tu.id, )} - entities={$topAccsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)} />
@@ -499,11 +504,17 @@ User GPUs - {#each $topAccsQuery.data.topUser as tu, i} + {#each topUserAccs as tu, i} - + - {scrambleNames ? scramble(tu.id) : tu.id} @@ -514,25 +525,25 @@ >{scrambleNames ? scramble(tu.name) : tu.name} {/if} - {tu['totalAccs']} + {tu["totalAccs"]} {/each} -

- Top Projects: GPUs -

+

Top Projects: GPUs

tp['totalAccs'], + sliceLabel={"GPUs"} + quantities={topProjectAccs.map( + (tp) => tp["totalAccs"], + )} + entities={topProjectAccs.map((tp) => + scrambleNames ? scramble(tp.id) : tp.id, )} - entities={$topAccsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)} /> @@ -542,20 +553,28 @@ Project GPUs - {#each $topAccsQuery.data.topProjects as tp, i} + {#each topProjectAccs as tp, i} - + - {scrambleNames ? scramble(tp.id) : tp.id} - {tp['totalAccs']} + {tp["totalAccs"]} {/each} {:else} - Cannot render accelerator status charts: No data! -{/if} \ No newline at end of file + Cannot render accelerator status charts: No data! +{/if} diff --git a/web/frontend/src/systems/NodeOverview.svelte b/web/frontend/src/systems/NodeOverview.svelte index b3c2c7cb..f2a3aba6 100644 --- a/web/frontend/src/systems/NodeOverview.svelte +++ b/web/frontend/src/systems/NodeOverview.svelte @@ -175,13 +175,13 @@ {:else if item?.data} - {#key item.data[0].metric.series[0].data.length} + {#key item?.data[0]?.metric?.series[0]?.data?.length} diff --git a/web/frontend/src/systems/nodelist/NodeInfo.svelte b/web/frontend/src/systems/nodelist/NodeInfo.svelte index 4b616f10..aad8a8f8 100644 --- a/web/frontend/src/systems/nodelist/NodeInfo.svelte +++ b/web/frontend/src/systems/nodelist/NodeInfo.svelte @@ -109,7 +109,7 @@ - {:else if nodeJobsData.jobs.count == 1 && nodeJobsData.jobs.items[0].shared == "none"} + {:else if nodeJobsData.jobs.count == 1 && nodeJobsData?.jobs?.items[0]?.shared == "none"} Jobs @@ -117,7 +117,7 @@ - {:else if nodeJobsData.jobs.count >= 1 && !(nodeJobsData.jobs.items[0].shared == "none")} + {:else if nodeJobsData.jobs.count >= 1 && !(nodeJobsData?.jobs?.items[0]?.shared == "none")} Jobs diff --git a/web/frontend/src/systems/nodelist/NodeListRow.svelte b/web/frontend/src/systems/nodelist/NodeListRow.svelte index 558d0642..62b6517b 100644 --- a/web/frontend/src/systems/nodelist/NodeListRow.svelte +++ b/web/frontend/src/systems/nodelist/NodeListRow.svelte @@ -63,8 +63,8 @@ /* Derived */ const filter = $derived([ { cluster: { eq: cluster } }, - { node: { contains: nodeData.host } }, { state: ["running"] }, + { node: { contains: nodeData.host } }, ]); const nodeJobsData = $derived(queryStore({ client: client,