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cc-backend/.entire/metadata/28147033-ddc8-4056-b064-e0558fbc614e/full.jsonl

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{"parentUuid":"8491a0a8-8a41-4d75-8039-bcadf981198b","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_01UNxmA6mSLC6rXYQWmDeter","type":"message","role":"assistant","content":[{"type":"text","text":"I'll explore the query-related code in the repository to find potential memory leaks."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10439,"cache_read_input_tokens":6504,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10439},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv1nZQwB88EyngaVwUGU","type":"assistant","uuid":"f9edc0f6-c651-4809-a158-61de9b0c5f5a","timestamp":"2026-03-10T20:16:03.483Z"}
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{"parentUuid":"d69745d0-76bb-491e-9fd5-fceda8543257","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":"2026-03-10T20:16:19.035Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JUr4esdN5evmWqNoY7KCAf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0145sokgeZFKJLzoQqQSBjV1","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":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":"5344fd93-4528-458e-85ce-4895a8ceec08"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"bf54a750-a6a7-402d-bebd-cd5fc0eac26d","timestamp":"2026-03-10T20:16:19.036Z"}
{"parentUuid":"bf54a750-a6a7-402d-bebd-cd5fc0eac26d","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_0145sokgeZFKJLzoQqQSBjV1","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":"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":"<persisted-output>\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</persisted-output>"}]},"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 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{"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"}
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{"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, &timestamp, &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<username> | 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"}
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{"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"}
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{"parentUuid":"2a42b5c2-79df-42c7-ad3f-9b8d1ac3076c","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_01DLZkS2Z3wCMs2fy15dYaFT","type":"tool_result","content":"Found 7 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/userConfig.go"}]},"uuid":"156dbf51-ff6b-4d22-b218-0c199e75d422","timestamp":"2026-03-10T20:16:31.509Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"28a0a65d-d32c-4121-a068-4764fa183664","timestamp":"2026-03-10T20:16:31.510Z"}
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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"}
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{"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":"<persisted-output>\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</persisted-output>"}]},"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"}
{"parentUuid":"96b2f3e2-8d18-46ad-819f-8ee893716f1d","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":"2026-03-10T20:16:54.162Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018s76CRvJWrAW6mKX3o4kZS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Mr4rEMP5b2nvVaUWypSzYa","name":"Bash","input":{"command":"grep -n \"xrows\\|rows\" /Users/jan/prg/CC/cc-backend/internal/repository/tags.go | head -50"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1312,"cache_read_input_tokens":90055,"cache_creation":{"ephemeral_5m_input_tokens":1312,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1r1rjyEe4YxGBGKbKm","uuid":"ab307b46-276f-4c17-b77f-30279ae625d6"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"b0cca831-6d51-4bf3-b3fb-71f76d291cd8","timestamp":"2026-03-10T20:16:54.164Z"}
{"parentUuid":"b0cca831-6d51-4bf3-b3fb-71f76d291cd8","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_01Mr4rEMP5b2nvVaUWypSzYa","type":"tool_result","content":"282:\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n287:\tfor xrows.Next() {\n289:\t\tif err = xrows.StructScan(&t); err != nil {\n333:\trows, err := q.RunWith(r.stmtCache).Query()\n339:\tfor rows.Next() {\n344:\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n350:\terr = rows.Err()\n508:\trows, err := q.RunWith(r.stmtCache).Query()\n516:\tfor rows.Next() {\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)\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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{"parentUuid":"1d5f71c7-b700-4c01-a791-c518b91eeb4a","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_012t8R6Xfv6UNrJTeFUWUZUa","type":"tool_result","content":"Line 233:\n\trows, err := query.RunWith(r.DB).Query()\n\t\treturn nil, err\n\tfor rows.Next() {\nLine 438:\n\t\treturn nil, err\n\trows, err := query.RunWith(r.DB).Query()\n\t\treturn nil, err\n\tfor rows.Next() {\nLine 494:\n\t\treturn nil, err\n\trows, err := query.RunWith(r.DB).Query()\n\t\treturn nil, err\n\tfor rows.Next() {\nLine 553:\n\t\treturn nil, err\n\trows, err := query.RunWith(r.DB).Query()\n\t\treturn nil, err\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cnt); err != nil {\nLine 753:\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\t\treturn nil, err\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\nLine 821:\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).Query()\n\t\treturn nil, err\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\nLine 946:\n\trows, err := mainQuery.RunWith(r.DB).Query()\n\t\treturn nil, err","is_error":false}]},"uuid":"d2aa0e74-b2f6-4484-b609-f970cb92beab","timestamp":"2026-03-10T20:17:18.468Z"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"f64b7ba6-cb64-42ee-8ac8-d51732df175d","timestamp":"2026-03-10T20:17:18.469Z"}
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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"}
{"parentUuid":"64867864-7326-4179-9586-bf431893b790","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":"2026-03-10T20:17:21.041Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CPj2DmJQMPkRNPkC55RERp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V5dLhUsFafNef9xyqeRhYZ","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","offset":438,"limit":25},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":527,"cache_read_input_tokens":94609,"cache_creation":{"ephemeral_5m_input_tokens":527,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1tQNdpETC7CD4QPYdT","uuid":"6194bb33-cb5b-4fa3-9c0e-32cd403289e3"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"93ca684a-1e52-4d34-95c4-a1613c973847","timestamp":"2026-03-10T20:17:21.042Z"}
{"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"}
{"parentUuid":"f0a9d50b-9ff3-45e6-a359-e00e9aa3fd34","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":"2026-03-10T20:17:23.908Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01NqypUBBFP3pgswi9xvjtXZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AHXCDM6Lv8jwiyM8Gqp3x4","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","offset":750,"limit":25},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1158,"cache_read_input_tokens":95136,"cache_creation":{"ephemeral_5m_input_tokens":1158,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYv1tbA2XDAqUWDsUz4bd","uuid":"5d4946c2-4afe-49e7-bddb-418dd5c00277"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"aef3bbe5-0519-4e37-bc40-3c01b73fcebe","timestamp":"2026-03-10T20:17:23.908Z"}
{"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"}
{"parentUuid":"148b34d1-8a0b-4a66-9d18-35ebbcaff268","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":"2026-03-10T20:17:25.965Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012gj8HqbhBEpewwW236m5se","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J1LkyVodLGCwHL1wmZ2uq8","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/stats.go","offset":818,"limit":35},"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":"e66eab5e-cb21-4110-9a69-9a6997ee0fe6"},"type":"agent_progress","prompt":"","agentId":"a03483f2df2e8cef0"},"toolUseID":"agent_msg_01UNxmA6mSLC6rXYQWmDeter","parentToolUseID":"toolu_019bWLMJ1nzVAT8Fg2W5qRmi","uuid":"0f53b2b9-7011-4e03-a160-8807a80a35ee","timestamp":"2026-03-10T20:17:25.966Z"}
{"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)\n<usage>total_tokens: 101903\ntool_uses: 33\nduration_ms: 98991</usage>"}]}]},"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"}
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{"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<username> | 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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":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":"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"}
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{"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, &timestamp, &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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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":"<persisted-output>\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</persisted-output>"}]},"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"}
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{"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"}
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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":"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"}
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{"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"}
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{"parentUuid":"d52a94c6-8c50-4dc4-bcef-b6cddcbc5046","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_01M869a2iDWZXBk7Sv16nvVr","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the `CountStates` query more carefully — it looks like it does counting in Go instead of SQL."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":791,"cache_read_input_tokens":81576,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":791},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYv2J5oM8wLJaWyVKNNGG","type":"assistant","uuid":"5b9f2fd4-74a5-4849-9e4a-35a96b4fcb88","timestamp":"2026-03-10T20:23:02.241Z"}
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{"parentUuid":"a3e1743e-d3fa-43f7-99cc-4ea5b8062133","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_01MckWx3nV5xyUjeidBtrarP","type":"tool_result","content":" 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→"}]},"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","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"}
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{"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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","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<username> | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","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"}
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{"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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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"}
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{"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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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"}
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{"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, &timestamp, &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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)"},"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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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, &timestamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)","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, &timestamp, &count); err != nil {\n\t\t\trows.Close()\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\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, &timestamp, &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"}
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