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64c0f94198ba887f4f689f78377f5ac49da54822
cc-backend/85/8b34ef56b8/0/full.jsonl
Jan Eitzinger 9fff22afce Checkpoint: 858b34ef56b8 
Entire-Session: 7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd
Entire-Strategy: manual-commit
Entire-Agent: Claude Code
Ephemeral-branch: entire/7f3eb44-e3b0c4
2026-03-16 20:03:32 +01:00

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{"parentUuid":"cc80828f-fa12-4dfa-9e4c-a05b3293de6c","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Improve scanJob logging\n\n## Context\n\n`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:\n\n```\nWARN Error while scanning rows (Job): sql: no rows in result set\n```\n\nTwo problems:\n1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.\n2. When a real scan error does occur, there's no call-site context — you can't tell which of the ~10 callers triggered it.\n\nThe codebase already has a precedent for using `runtime.Caller(1)` in `internal/api/rest.go:188` to include file/line in log messages.\n\n## Approach\n\nModify `scanJob` in `internal/repository/job.go`:\n\n1. **Skip logging for `sql.ErrNoRows`** — return the error silently. All callers already handle this case themselves.\n2. **Add caller context** for real scan errors using `runtime.Caller(1)` — include `file:line` in the warning message.\n\n```go\nimport (\n \"database/sql\"\n \"path/filepath\"\n \"runtime\"\n // existing imports ...\n)\n\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n job := &schema.Job{}\n\n if err := row.Scan(...); err != nil {\n if err != sql.ErrNoRows {\n _, file, line, _ := runtime.Caller(1)\n cclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n }\n return nil, err\n }\n // ... rest unchanged\n}\n```\n\n## Critical File\n\n- `internal/repository/job.go` — only file to change (lines 154–184)\n\n## Imports to check\n\n`database/sql` is likely already imported (used elsewhere in the package). `runtime` and `path/filepath` — check if already present; add if not.\n\n## Verification\n\n1. `go build ./...` — must compile cleanly\n2. `go test ./internal/repository/...` — existing tests must pass\n3. Manually: trigger a lookup for a non-existent job ID; confirm no warning is logged\n4. Manually (or via test): force a real scan error; confirm warning includes `job.go:<line>`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/b03f52bf-e58e-45a2-8b95-af846938ee2c.jsonl"},"uuid":"0ee65114-d1fe-4419-b9ac-248b3919e8cd","timestamp":"2026-03-16T19:01:26.222Z","planContent":"# Plan: Improve scanJob logging\n\n## Context\n\n`scanJob` in `internal/repository/job.go` (line 162) logs a `Warn` for every scan error, including the very common `sql.ErrNoRows` case. This produces noisy, unhelpful log lines like:\n\n```\nWARN Error while scanning rows (Job): sql: no rows in result set\n```\n\nTwo problems:\n1. `sql.ErrNoRows` is a normal, expected condition (callers are documented to check for it). It should not produce a warning.\n2. When a real scan error does occur, there's no call-site context — you can't tell which of the ~10 callers triggered it.\n\nThe codebase already has a precedent for using `runtime.Caller(1)` in `internal/api/rest.go:188` to include file/line in log messages.\n\n## Approach\n\nModify `scanJob` in `internal/repository/job.go`:\n\n1. **Skip logging for `sql.ErrNoRows`** — return the error silently. All callers already handle this case themselves.\n2. **Add caller context** for real scan errors using `runtime.Caller(1)` — include `file:line` in the warning message.\n\n```go\nimport (\n \"database/sql\"\n \"path/filepath\"\n \"runtime\"\n // existing imports ...\n)\n\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n job := &schema.Job{}\n\n if err := row.Scan(...); err != nil {\n if err != sql.ErrNoRows {\n _, file, line, _ := runtime.Caller(1)\n cclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n }\n return nil, err\n }\n // ... rest unchanged\n}\n```\n\n## Critical File\n\n- `internal/repository/job.go` — only file to change (lines 154–184)\n\n## Imports to check\n\n`database/sql` is likely already imported (used elsewhere in the package). `runtime` and `path/filepath` — check if already present; add if not.\n\n## Verification\n\n1. `go build ./...` — must compile cleanly\n2. `go test ./internal/repository/...` — existing tests must pass\n3. Manually: trigger a lookup for a non-existent job ID; confirm no warning is logged\n4. Manually (or via test): force a real scan error; confirm warning includes `job.go:<line>`\n","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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{"parentUuid":"f3033a28-80b1-4fc0-87d0-63077950cf6b","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012VxnUSTXy84zUjoZzr85aV","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 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\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9c6618b2-e115-43d1-8e55-72802989137a","timestamp":"2026-03-16T19:01:30.039Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories","numLines":30,"startLine":1,"totalLines":1137}},"sourceToolAssistantUUID":"f3033a28-80b1-4fc0-87d0-63077950cf6b","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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{"parentUuid":"d794b7a8-bd3b-4636-a95b-9a41347d8c29","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TUQYJ3NK6LzyDKZnNQnXVt","type":"tool_result","content":" 150→// Parameters:\n 151→// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n 152→//\n 153→// Returns the populated Job struct or an error if scanning or unmarshaling fails.\n 154→func scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n 155→\tjob := &schema.Job{}\n 156→\n 157→\tif err := row.Scan(\n 158→\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n 159→\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n 160→\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n 161→\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n 162→\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n 163→\t\treturn nil, err\n 164→\t}\n 165→\n 166→\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n 167→\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n 168→\t\treturn nil, err\n 169→\t}\n 170→\tjob.RawResources = nil\n 171→\n 172→\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n 173→\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n 174→\t\treturn nil, err\n 175→\t}\n 176→\tjob.RawFootprint = nil\n 177→\n 178→\t// Always ensure accurate duration for running jobs\n 179→\tif job.State == schema.JobStateRunning {\n 180→\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n 181→\t}\n 182→\n 183→\treturn job, nil\n 184→}\n 185→\n 186→// Optimize performs database optimization by running VACUUM command.\n 187→// This reclaims unused space and defragments the database file.\n 188→// Should be run periodically during maintenance windows.\n 189→func (r *JobRepository) Optimize() error {\n 190→\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n 191→\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n 192→\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n 193→\t}\n 194→\treturn nil\n 195→}\n 196→\n 197→// Flush removes all data from job-related tables (jobtag, tag, job).\n 198→// WARNING: This is a destructive operation that deletes all job data.\n 199→// Use with extreme caution, typically only for testing or complete resets.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"1d2d9d27-9829-4e70-b0f1-8d82aeea41e4","timestamp":"2026-03-16T19:01:35.775Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.","numLines":50,"startLine":150,"totalLines":1137}},"sourceToolAssistantUUID":"d794b7a8-bd3b-4636-a95b-9a41347d8c29","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"1d2d9d27-9829-4e70-b0f1-8d82aeea41e4","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01J7aEPCqRXeFMhyQDhRzoqR","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the context. The imports already include `database/sql`. I need to add `path/filepath` and `runtime`, then modify `scanJob`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":991,"cache_read_input_tokens":20017,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":991},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7Gy2xhWhGV9cTiNUTuh","type":"assistant","uuid":"5cce56cc-4a5b-4601-ab11-8481d1bcbd68","timestamp":"2026-03-16T19:01:39.953Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"5cce56cc-4a5b-4601-ab11-8481d1bcbd68","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01J7aEPCqRXeFMhyQDhRzoqR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SEStTNPB564kxtccKVJNxc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","old_string":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"","new_string":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":991,"cache_read_input_tokens":20017,"output_tokens":271,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":991,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7Gy2xhWhGV9cTiNUTuh","type":"assistant","uuid":"15819832-8055-4e39-bc9d-4a47ece02bd4","timestamp":"2026-03-16T19:01:41.355Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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{"parentUuid":"15819832-8055-4e39-bc9d-4a47ece02bd4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SEStTNPB564kxtccKVJNxc","toolUseID":"toolu_01SEStTNPB564kxtccKVJNxc","timestamp":"2026-03-16T19:01:41.373Z","uuid":"0b91cd7b-649d-4b36-a2c8-0fbf3ea57cc6","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"15819832-8055-4e39-bc9d-4a47ece02bd4","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SEStTNPB564kxtccKVJNxc","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/job.go has been updated successfully."}]},"uuid":"a10d4b20-6803-46e1-857f-83f5e94b1ec9","timestamp":"2026-03-16T19:01:41.373Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","oldString":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"","newString":"import (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"","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 the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n// - JobRepository: Job lifecycle management and querying\n// - UserRepository: User management and authentication\n// - NodeRepository: Cluster node state tracking\n// - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB *sqlx.DB // Database connection pool\n\tstmtCache *sq.StmtCache // Prepared statement cache for query optimization\n\tcache *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver string // Database driver name (e.g., \"sqlite3\")\n\tMutex sync.Mutex // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n// - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n// - job: Job struct with valid ID, existing metadata will be fetched if not present\n// - key: Metadata key to set\n// - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n// - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n// - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n// - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n// 1. If searchterm is numeric, treat as job ID (returned immediately)\n// 2. Try exact match in job.hpc_user column (username)\n// 3. Try LIKE match in hpc_user.name column (real name)\n// 4. Try exact match in job.project column (project ID)\n// 5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n// - user: Authenticated user context, required for database access\n// - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - searchterm: Value to search for (exact match or LIKE pattern)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n// - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - query: Search pattern (always uses LIKE with wildcards)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n// - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n// - monitoring_status: MonitoringStatusArchivingFailed\n// - duration: 0\n// - job_state: JobStateFailed\n//\n// Parameters:\n// - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n// - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n// - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n// - startTimeEnd: Unix timestamp for range end\n// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n// - job: Database ID of the job to update\n// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n// - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n// - stmt: Existing UpdateBuilder to modify\n// - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n// - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t// / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(\"job.job_state = 'running'\")\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster string\n\t\trawResources []byte\n\t\tresources []*schema.Resource\n\t\tskippedRows int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range nodeSet {\n\t\tlist := make([]string, 0, len(nodes))\n\t\tfor node := range nodes {\n\t\t\tlist = append(list, node)\n\t\t}\n\t\tsort.Strings(list)\n\t\tnodeList[cluster] = list\n\t}\n\n\treturn nodeList, nil\n}\n","structuredPatch":[{"oldStart":66,"oldLines":6,"newStart":66,"newLines":8,"lines":[" \"fmt\""," \"maps\""," \"math\"","+ \"path/filepath\"","+ \"runtime\""," \"sort\""," \"strconv\""," \"sync\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"15819832-8055-4e39-bc9d-4a47ece02bd4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"a10d4b20-6803-46e1-857f-83f5e94b1ec9","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011KA5KF72QpK5sDKMK4J5d4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SZPEX5512qv3fM85xahS4n","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","old_string":"\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}","new_string":"\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":329,"cache_read_input_tokens":21008,"output_tokens":522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":329,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7GySfUVaM8itzHRaFTn","type":"assistant","uuid":"d4c9cee3-04a0-4ae5-b7f8-7bfdca3a92b4","timestamp":"2026-03-16T19:01:47.316Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"d4c9cee3-04a0-4ae5-b7f8-7bfdca3a92b4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SZPEX5512qv3fM85xahS4n","toolUseID":"toolu_01SZPEX5512qv3fM85xahS4n","timestamp":"2026-03-16T19:01:47.323Z","uuid":"f6c00e8e-9863-46ce-ad77-b6325d51d238","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"d4c9cee3-04a0-4ae5-b7f8-7bfdca3a92b4","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SZPEX5512qv3fM85xahS4n","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/internal/repository/job.go has been updated successfully."}]},"uuid":"50bcd5bd-22b4-4919-a37d-015b9f4b77cf","timestamp":"2026-03-16T19:01:47.323Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","oldString":"\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}","newString":"\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n// - JobRepository: Job lifecycle management and querying\n// - UserRepository: User management and authentication\n// - NodeRepository: Cluster node state tracking\n// - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB *sqlx.DB // Database connection pool\n\tstmtCache *sq.StmtCache // Prepared statement cache for query optimization\n\tcache *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver string // Database driver name (e.g., \"sqlite3\")\n\tMutex sync.Mutex // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n// - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n// - job: Job struct with valid ID, existing metadata will be fetched if not present\n// - key: Metadata key to set\n// - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n// - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n// - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n// - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n// 1. If searchterm is numeric, treat as job ID (returned immediately)\n// 2. Try exact match in job.hpc_user column (username)\n// 3. Try LIKE match in hpc_user.name column (real name)\n// 4. Try exact match in job.project column (project ID)\n// 5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n// - user: Authenticated user context, required for database access\n// - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - searchterm: Value to search for (exact match or LIKE pattern)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n// - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - query: Search pattern (always uses LIKE with wildcards)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n// - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n// - monitoring_status: MonitoringStatusArchivingFailed\n// - duration: 0\n// - job_state: JobStateFailed\n//\n// Parameters:\n// - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n// - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n// - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n// - startTimeEnd: Unix timestamp for range end\n// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n// - job: Database ID of the job to update\n// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n// - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n// - stmt: Existing UpdateBuilder to modify\n// - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n// - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t// / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(\"job.job_state = 'running'\")\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster string\n\t\trawResources []byte\n\t\tresources []*schema.Resource\n\t\tskippedRows int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range nodeSet {\n\t\tlist := make([]string, 0, len(nodes))\n\t\tfor node := range nodes {\n\t\t\tlist = append(list, node)\n\t\t}\n\t\tsort.Strings(list)\n\t\tnodeList[cluster] = list\n\t}\n\n\treturn nodeList, nil\n}\n","structuredPatch":[{"oldStart":161,"oldLines":7,"newStart":161,"newLines":10,"lines":[" &job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,"," &job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,"," &job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {","- cclog.Warnf(\"Error while scanning rows (Job): %v\", err)","+ if err != sql.ErrNoRows {","+ _, file, line, _ := runtime.Caller(1)","+ cclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)","+ }"," return nil, err"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d4c9cee3-04a0-4ae5-b7f8-7bfdca3a92b4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"50bcd5bd-22b4-4919-a37d-015b9f4b77cf","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01FcVLHfd2kyjz11e17owdfi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":679,"cache_read_input_tokens":21337,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":679},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7Gyt4wSAcaCvnMvGbEd","type":"assistant","uuid":"5787b4cf-f2af-4d37-8c36-01412f030ab3","timestamp":"2026-03-16T19:01:52.341Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"5787b4cf-f2af-4d37-8c36-01412f030ab3","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01FcVLHfd2kyjz11e17owdfi","type":"message","role":"assistant","content":[{"type":"text","text":"Let me verify the edits took effect:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":679,"cache_read_input_tokens":21337,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":679},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7Gyt4wSAcaCvnMvGbEd","type":"assistant","uuid":"91ff0136-f463-4fc6-964a-44341b0a798f","timestamp":"2026-03-16T19:01:53.058Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"91ff0136-f463-4fc6-964a-44341b0a798f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01FcVLHfd2kyjz11e17owdfi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","offset":157,"limit":15},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":679,"cache_read_input_tokens":21337,"output_tokens":207,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":679,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7Gyt4wSAcaCvnMvGbEd","type":"assistant","uuid":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","timestamp":"2026-03-16T19:01:53.265Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","toolUseID":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","timestamp":"2026-03-16T19:01:53.281Z","uuid":"99ac6eb4-1c4b-4eb3-84ff-0d84bbcf53f8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LLgQu8vWBMjXHgwX8yzhyB","type":"tool_result","content":" 157→\tjob := &schema.Job{}\n 158→\n 159→\tif err := row.Scan(\n 160→\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n 161→\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n 162→\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n 163→\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n 164→\t\tif err != sql.ErrNoRows {\n 165→\t\t\t_, file, line, _ := runtime.Caller(1)\n 166→\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n 167→\t\t}\n 168→\t\treturn nil, err\n 169→\t}\n 170→\n 171→\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e2777777-4aba-464b-ac22-53497faaf27f","timestamp":"2026-03-16T19:01:53.280Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/internal/repository/job.go","content":"\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tif err != sql.ErrNoRows {\n\t\t\t_, file, line, _ := runtime.Caller(1)\n\t\t\tcclog.Warnf(\"Error while scanning rows (Job) (%s:%d): %v\", filepath.Base(file), line, err)\n\t\t}\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {","numLines":15,"startLine":157,"totalLines":1142}},"sourceToolAssistantUUID":"a0c1b564-0b01-40c3-9a68-d4252c8a1379","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"e2777777-4aba-464b-ac22-53497faaf27f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01JfBHG4JuCDoWEcDgayacbn","type":"message","role":"assistant","content":[{"type":"text","text":"The code looks correct. The diagnostics may be stale. Let me verify by building:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":612,"cache_read_input_tokens":22016,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":612},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7GzKg4UET3gyLgVGUmR","type":"assistant","uuid":"eb1f6cd9-6c7e-4c75-ab41-da1c05adb074","timestamp":"2026-03-16T19:01:57.750Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"eb1f6cd9-6c7e-4c75-ab41-da1c05adb074","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01JfBHG4JuCDoWEcDgayacbn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F5VjS3hYr62xfzuVoMxTgn","name":"Bash","input":{"command":"go build ./internal/repository/... 2>&1","description":"Build repository package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":612,"cache_read_input_tokens":22016,"output_tokens":117,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":612,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7GzKg4UET3gyLgVGUmR","type":"assistant","uuid":"bb1e93f1-92d3-4ced-b8e4-7e3fb5017a84","timestamp":"2026-03-16T19:01:58.078Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"bb1e93f1-92d3-4ced-b8e4-7e3fb5017a84","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F5VjS3hYr62xfzuVoMxTgn","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"2d479235-f53d-4fb5-b07e-1cf9a697f33f","timestamp":"2026-03-16T19:02:00.714Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"bb1e93f1-92d3-4ced-b8e4-7e3fb5017a84","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"2d479235-f53d-4fb5-b07e-1cf9a697f33f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_019uiVBANmfWsFCq3jjbPKsJ","type":"message","role":"assistant","content":[{"type":"text","text":"Clean build. Let me also run the repository tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":231,"cache_read_input_tokens":22628,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":231},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ7GzsNoSNXVvAbrT1pod","type":"assistant","uuid":"65174e85-5723-42ac-b9f5-c0e1e58f37f4","timestamp":"2026-03-16T19:02:05.449Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"65174e85-5723-42ac-b9f5-c0e1e58f37f4","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_019uiVBANmfWsFCq3jjbPKsJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01553Q3NHVKMqKyeA7wybkFJ","name":"Bash","input":{"command":"go test ./internal/repository/... 2>&1","description":"Run repository tests"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":231,"cache_read_input_tokens":22628,"output_tokens":94,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":231,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7GzsNoSNXVvAbrT1pod","type":"assistant","uuid":"1c22dd49-1d07-4e02-98fc-d2d9bd384f36","timestamp":"2026-03-16T19:02:06.076Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"1c22dd49-1d07-4e02-98fc-d2d9bd384f36","isSidechain":false,"promptId":"652c48e5-2f9a-4604-a66a-0690cd2d0027","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01553Q3NHVKMqKyeA7wybkFJ","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.887s","is_error":false}]},"uuid":"ada75e01-2dcc-4e8d-86df-c0f1b9d67040","timestamp":"2026-03-16T19:02:09.917Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.887s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1c22dd49-1d07-4e02-98fc-d2d9bd384f36","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"ada75e01-2dcc-4e8d-86df-c0f1b9d67040","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01SWU5onx1QX5RjWwfezkdU7","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. The changes are complete:\n\n- `sql.ErrNoRows` is now returned silently (no warning log)\n- Real scan errors include the caller's `file:line` in the warning, e.g. `Error while scanning rows (Job) (jobQuery.go:87): ...`"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":131,"cache_read_input_tokens":22859,"output_tokens":72,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":131,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ7H1Z12WheJuQxsdwymL","type":"assistant","uuid":"691d7efd-d4d0-421c-a09f-8f5287679115","timestamp":"2026-03-16T19:02:14.051Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
{"parentUuid":"691d7efd-d4d0-421c-a09f-8f5287679115","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"18b5cc2c-3b03-4636-841d-a97d345c2dcb","toolUseID":"18b5cc2c-3b03-4636-841d-a97d345c2dcb","timestamp":"2026-03-16T19:02:14.092Z","uuid":"677b0558-c9af-4863-bda9-4621f7ba7a04","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"7916ffa0-cf9e-4cb7-a75f-8a1db33c75bd","version":"2.1.76","gitBranch":"hotfix","slug":"lexical-finding-hartmanis"}
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